Next-generation sequencing-based detection of germline L1-mediated transductions View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Jelena Tica, Eunjung Lee, Andreas Untergasser, Sascha Meiers, David A. Garfield, Omer Gokcumen, Eileen E.M. Furlong, Peter J. Park, Adrian M. Stütz, Jan O. Korbel

ABSTRACT

BACKGROUND: While active LINE-1 (L1) elements possess the ability to mobilize flanking sequences to different genomic loci through a process termed transduction influencing genomic content and structure, an approach for detecting polymorphic germline non-reference transductions in massively-parallel sequencing data has been lacking. RESULTS: Here we present the computational approach TIGER (Transduction Inference in GERmline genomes), enabling the discovery of non-reference L1-mediated transductions by combining L1 discovery with detection of unique insertion sequences and detailed characterization of insertion sites. We employed TIGER to characterize polymorphic transductions in fifteen genomes from non-human primate species (chimpanzee, orangutan and rhesus macaque), as well as in a human genome. We achieved high accuracy as confirmed by PCR and two single molecule DNA sequencing techniques, and uncovered differences in relative rates of transduction between primate species. CONCLUSIONS: By enabling detection of polymorphic transductions, TIGER makes this form of relevant structural variation amenable for population and personal genome analysis. More... »

PAGES

342

References to SciGraph publications

  • 2001-02. Initial sequencing and analysis of the human genome in NATURE
  • 2011-02-03. Mapping copy number variation by population-scale genome sequencing in NATURE
  • 2015-12. Mobile element insertions are frequent in oesophageal adenocarcinomas and can mislead paired-end sequencing analysis in BMC GENOMICS
  • 2014-12. TE-Tracker: systematic identification of transposition events through whole-genome resequencing in BMC BIOINFORMATICS
  • 2003-05. Identifying related L1 retrotransposons by analyzing 3' transduced sequences in GENOME BIOLOGY
  • 2003-08. Novel types of mutation in the choroideremia (CHM) gene: a full-length L1 insertion and an intronic mutation activating a cryptic exon in HUMAN GENETICS
  • 2011-09. Dynamic interactions between transposable elements and their hosts in NATURE REVIEWS GENETICS
  • 2015-08. Assembly and diploid architecture of an individual human genome via single-molecule technologies in NATURE METHODS
  • 2014-12. Tangram: a comprehensive toolbox for mobile element insertion detection in BMC GENOMICS
  • 2009-01. RNA-based gene duplication: mechanistic and evolutionary insights in NATURE REVIEWS GENETICS
  • 2009-09. Many LINE1 elements contribute to the transcriptome of human somatic cells in GENOME BIOLOGY
  • 2010-10-28. A map of human genome variation from population-scale sequencing in NATURE
  • 2014-10. Mobster: accurate detection of mobile element insertions in next generation sequencing data in GENOME BIOLOGY
  • 1994-06. A new retrotransposable human L1 element from the LRE2 locus on chromosome 1q produces a chimaeric insertion in NATURE GENETICS
  • 2013-03. Retrotransposition of gene transcripts leads to structural variation in mammalian genomes in GENOME BIOLOGY
  • 2009-10. The impact of retrotransposons on human genome evolution in NATURE REVIEWS GENETICS
  • 2015-01. Resolving the complexity of the human genome using single-molecule sequencing in NATURE
  • 2011-01-27. Comparative and demographic analysis of orang-utan genomes in NATURE
  • 2005-09. Initial sequence of the chimpanzee genome and comparison with the human genome in NATURE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12864-016-2670-x

    DOI

    http://dx.doi.org/10.1186/s12864-016-2670-x

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1038501935

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/27161561


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Genetics", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Animals", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Base Sequence", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Computational Biology", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genome", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Germ Cells", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "High-Throughput Nucleotide Sequencing", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Long Interspersed Nucleotide Elements", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Macaca mulatta", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Pan troglodytes", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Transduction, Genetic", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "European Molecular Biology Laboratory", 
              "id": "https://www.grid.ac/institutes/grid.4709.a", 
              "name": [
                "European Molecular Biology Laboratory, Genome Biology Unit, 69117, Heidelberg, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tica", 
            "givenName": "Jelena", 
            "id": "sg:person.01124161515.41", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01124161515.41"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Brigham and Women's Hospital", 
              "id": "https://www.grid.ac/institutes/grid.62560.37", 
              "name": [
                "Department of Biomedical Informatics, Harvard Medical School, 02115, Boston, MA, USA", 
                "Division of Genetics, Brigham and Women\u2019s Hospital, 02115, Boston, MA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lee", 
            "givenName": "Eunjung", 
            "id": "sg:person.015712733137.85", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015712733137.85"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Heidelberg University", 
              "id": "https://www.grid.ac/institutes/grid.7700.0", 
              "name": [
                "European Molecular Biology Laboratory, Genome Biology Unit, 69117, Heidelberg, Germany", 
                "Center of Molecular Biology (ZMBH), Heidelberg University, Im Neuenheimer Feld 282, 69120, Heidelberg, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Untergasser", 
            "givenName": "Andreas", 
            "id": "sg:person.0711057216.83", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711057216.83"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "European Molecular Biology Laboratory", 
              "id": "https://www.grid.ac/institutes/grid.4709.a", 
              "name": [
                "European Molecular Biology Laboratory, Genome Biology Unit, 69117, Heidelberg, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Meiers", 
            "givenName": "Sascha", 
            "id": "sg:person.01220035355.21", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220035355.21"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "European Molecular Biology Laboratory", 
              "id": "https://www.grid.ac/institutes/grid.4709.a", 
              "name": [
                "European Molecular Biology Laboratory, Genome Biology Unit, 69117, Heidelberg, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Garfield", 
            "givenName": "David A.", 
            "id": "sg:person.01031664136.93", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031664136.93"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University at Buffalo, State University of New York", 
              "id": "https://www.grid.ac/institutes/grid.273335.3", 
              "name": [
                "Department of Biological Sciences, State University of New York at Buffalo, 14260-1300, Buffalo, NY, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gokcumen", 
            "givenName": "Omer", 
            "id": "sg:person.01344715157.42", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344715157.42"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "European Molecular Biology Laboratory", 
              "id": "https://www.grid.ac/institutes/grid.4709.a", 
              "name": [
                "European Molecular Biology Laboratory, Genome Biology Unit, 69117, Heidelberg, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Furlong", 
            "givenName": "Eileen E.M.", 
            "id": "sg:person.011301645114.34", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011301645114.34"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Brigham and Women's Hospital", 
              "id": "https://www.grid.ac/institutes/grid.62560.37", 
              "name": [
                "Department of Biomedical Informatics, Harvard Medical School, 02115, Boston, MA, USA", 
                "Division of Genetics, Brigham and Women\u2019s Hospital, 02115, Boston, MA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Park", 
            "givenName": "Peter J.", 
            "id": "sg:person.01024612701.33", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024612701.33"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "European Molecular Biology Laboratory", 
              "id": "https://www.grid.ac/institutes/grid.4709.a", 
              "name": [
                "European Molecular Biology Laboratory, Genome Biology Unit, 69117, Heidelberg, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "St\u00fctz", 
            "givenName": "Adrian M.", 
            "id": "sg:person.01117263347.40", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01117263347.40"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "European Bioinformatics Institute", 
              "id": "https://www.grid.ac/institutes/grid.225360.0", 
              "name": [
                "European Molecular Biology Laboratory, Genome Biology Unit, 69117, Heidelberg, Germany", 
                "European Molecular Biology Laboratory-European Bioinformatics Institute, Wellcome Trust Genome Campus, CB10 1SD, Cambridge, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Korbel", 
            "givenName": "Jan O.", 
            "id": "sg:person.0772174216.94", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0772174216.94"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1126/science.1251343", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000404692"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.093435.109", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002085135"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/380207", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002154777"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkh698", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006066900"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.229202", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006260064"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0092-8674(93)90078-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007964648"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/bts697", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010518911"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature09534", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010608717", 
              "https://doi.org/10.1038/nature09534"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature09534", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010608717", 
              "https://doi.org/10.1038/nature09534"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pgen.1003234", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012155273"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/humu.22327", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012333000"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.neuron.2014.12.028", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013277282"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.3454", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013577548", 
              "https://doi.org/10.1038/nmeth.3454"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature13907", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014139802", 
              "https://doi.org/10.1038/nature13907"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tig.2007.02.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014272599"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng0694-143", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014552572", 
              "https://doi.org/10.1038/ng0694-143"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng0694-143", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014552572", 
              "https://doi.org/10.1038/ng0694-143"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/humu.21663", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017456058"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-014-0488-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018212545", 
              "https://doi.org/10.1186/s13059-014-0488-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-014-0488-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018212545", 
              "https://doi.org/10.1186/s13059-014-0488-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0603224103", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019434311"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1162986", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021160342"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pgen.1002236", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021160978"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1310914110", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021651096"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/hmg/ddm108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021972171"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.gde.2012.02.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022623956"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/hmg/9.4.653", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022877618"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2010.10.027", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023331825"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2010.10.027", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023331825"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2487", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023394776", 
              "https://doi.org/10.1038/nrg2487"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature09687", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023552206", 
              "https://doi.org/10.1038/nature09687"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1089670", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026603190"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1222077", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028770194"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bib/bbs017", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029766327"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-15-795", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030629312", 
              "https://doi.org/10.1186/1471-2164-15-795"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2640", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030857078", 
              "https://doi.org/10.1038/nrg2640"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2640", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030857078", 
              "https://doi.org/10.1038/nrg2640"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1139247", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032282710"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/bts378", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032917074"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature09708", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034732435", 
              "https://doi.org/10.1038/nature09708"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00439-003-0970-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036567075", 
              "https://doi.org/10.1007/s00439-003-0970-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00439-003-0970-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036567075", 
              "https://doi.org/10.1007/s00439-003-0970-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bies.201100075", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036645797"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2009-10-9-r100", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037813852", 
              "https://doi.org/10.1186/gb-2009-10-9-r100"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2012.09.035", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038558052"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1139462", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040195804"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12859-014-0377-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040994266", 
              "https://doi.org/10.1186/s12859-014-0377-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12859-014-0377-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040994266", 
              "https://doi.org/10.1186/s12859-014-0377-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0092-8674(02)00839-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041352148"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature04072", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042676864", 
              "https://doi.org/10.1038/nature04072"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature04072", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042676864", 
              "https://doi.org/10.1038/nature04072"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/35057062", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042854081", 
              "https://doi.org/10.1038/35057062"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/35057062", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042854081", 
              "https://doi.org/10.1038/35057062"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.10.4.411", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043410408"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/mcb.00860-12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043547537"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.106419.110", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044456530"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2013-14-3-r22", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045187544", 
              "https://doi.org/10.1186/gb-2013-14-3-r22"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2003-4-5-r30", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045523917", 
              "https://doi.org/10.1186/gb-2003-4-5-r30"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.94.5.1872", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045628301"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1305904110", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047920343"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12864-015-1685-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049863155", 
              "https://doi.org/10.1186/s12864-015-1685-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12864-015-1685-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049863155", 
              "https://doi.org/10.1186/s12864-015-1685-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg3030", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049899208", 
              "https://doi.org/10.1038/nrg3030"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.091827.109", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052032294"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1149504", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062456540"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.283.5407.1530", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062564404"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/j.1460-2075.1984.tb02042.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1081561729"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2016-12", 
        "datePublishedReg": "2016-12-01", 
        "description": "BACKGROUND: While active LINE-1 (L1) elements possess the ability to mobilize flanking sequences to different genomic loci through a process termed transduction influencing genomic content and structure, an approach for detecting polymorphic germline non-reference transductions in massively-parallel sequencing data has been lacking.\nRESULTS: Here we present the computational approach TIGER (Transduction Inference in GERmline genomes), enabling the discovery of non-reference L1-mediated transductions by combining L1 discovery with detection of unique insertion sequences and detailed characterization of insertion sites. We employed TIGER to characterize polymorphic transductions in fifteen genomes from non-human primate species (chimpanzee, orangutan and rhesus macaque), as well as in a human genome. We achieved high accuracy as confirmed by PCR and two single molecule DNA sequencing techniques, and uncovered differences in relative rates of transduction between primate species.\nCONCLUSIONS: By enabling detection of polymorphic transductions, TIGER makes this form of relevant structural variation amenable for population and personal genome analysis.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1186/s12864-016-2670-x", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1023790", 
            "issn": [
              "1471-2164"
            ], 
            "name": "BMC Genomics", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "17"
          }
        ], 
        "name": "Next-generation sequencing-based detection of germline L1-mediated transductions", 
        "pagination": "342", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "b7680de7e9f456a64d8ec6b99d3caf9397fc02782de0520e302864d16da5b749"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "27161561"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "100965258"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s12864-016-2670-x"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1038501935"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s12864-016-2670-x", 
          "https://app.dimensions.ai/details/publication/pub.1038501935"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T17:32", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8672_00000514.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1186%2Fs12864-016-2670-x"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12864-016-2670-x'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12864-016-2670-x'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12864-016-2670-x'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12864-016-2670-x'


     

    This table displays all metadata directly associated to this object as RDF triples.

    380 TRIPLES      21 PREDICATES      97 URIs      32 LITERALS      20 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s12864-016-2670-x schema:about N1962f3e79c5b4cabb1ca76fcfa2f6f9c
    2 N4bf6ebe29fa9438f9701297a9de17cbf
    3 N4bfd934cc8ca427d8c679961db09aaf7
    4 N53bb3be981824b63b35f97222741d3bd
    5 N66defc0dde2b4a00bc37c91ba1fdf1e7
    6 N885d4e69277d42b1aef2d1c3b2f6e84a
    7 N8f3f9675024e4aca916b18599c1c7a32
    8 N91f591248de2406f86e8c3211745eaad
    9 Nb0d3f3caec254ba5a225440f2ad56102
    10 Nc168d911f558414fbc1726f3e51478cf
    11 Nde1773c35e554c52a883a9a37bc14f5f
    12 anzsrc-for:06
    13 anzsrc-for:0604
    14 schema:author N536548466b4d44b28cbe8e9c76365349
    15 schema:citation sg:pub.10.1007/s00439-003-0970-0
    16 sg:pub.10.1038/35057062
    17 sg:pub.10.1038/nature04072
    18 sg:pub.10.1038/nature09534
    19 sg:pub.10.1038/nature09687
    20 sg:pub.10.1038/nature09708
    21 sg:pub.10.1038/nature13907
    22 sg:pub.10.1038/ng0694-143
    23 sg:pub.10.1038/nmeth.3454
    24 sg:pub.10.1038/nrg2487
    25 sg:pub.10.1038/nrg2640
    26 sg:pub.10.1038/nrg3030
    27 sg:pub.10.1186/1471-2164-15-795
    28 sg:pub.10.1186/gb-2003-4-5-r30
    29 sg:pub.10.1186/gb-2009-10-9-r100
    30 sg:pub.10.1186/gb-2013-14-3-r22
    31 sg:pub.10.1186/s12859-014-0377-z
    32 sg:pub.10.1186/s12864-015-1685-z
    33 sg:pub.10.1186/s13059-014-0488-x
    34 https://doi.org/10.1002/bies.201100075
    35 https://doi.org/10.1002/humu.21663
    36 https://doi.org/10.1002/humu.22327
    37 https://doi.org/10.1002/j.1460-2075.1984.tb02042.x
    38 https://doi.org/10.1016/0092-8674(93)90078-5
    39 https://doi.org/10.1016/j.cell.2010.10.027
    40 https://doi.org/10.1016/j.cell.2012.09.035
    41 https://doi.org/10.1016/j.gde.2012.02.006
    42 https://doi.org/10.1016/j.neuron.2014.12.028
    43 https://doi.org/10.1016/j.tig.2007.02.006
    44 https://doi.org/10.1016/s0092-8674(02)00839-5
    45 https://doi.org/10.1073/pnas.0603224103
    46 https://doi.org/10.1073/pnas.1305904110
    47 https://doi.org/10.1073/pnas.1310914110
    48 https://doi.org/10.1073/pnas.94.5.1872
    49 https://doi.org/10.1086/380207
    50 https://doi.org/10.1093/bib/bbs017
    51 https://doi.org/10.1093/bioinformatics/bts378
    52 https://doi.org/10.1093/bioinformatics/bts697
    53 https://doi.org/10.1093/hmg/9.4.653
    54 https://doi.org/10.1093/hmg/ddm108
    55 https://doi.org/10.1093/nar/gkh698
    56 https://doi.org/10.1101/gr.091827.109
    57 https://doi.org/10.1101/gr.093435.109
    58 https://doi.org/10.1101/gr.10.4.411
    59 https://doi.org/10.1101/gr.106419.110
    60 https://doi.org/10.1101/gr.229202
    61 https://doi.org/10.1126/science.1089670
    62 https://doi.org/10.1126/science.1139247
    63 https://doi.org/10.1126/science.1139462
    64 https://doi.org/10.1126/science.1149504
    65 https://doi.org/10.1126/science.1162986
    66 https://doi.org/10.1126/science.1222077
    67 https://doi.org/10.1126/science.1251343
    68 https://doi.org/10.1126/science.283.5407.1530
    69 https://doi.org/10.1128/mcb.00860-12
    70 https://doi.org/10.1371/journal.pgen.1002236
    71 https://doi.org/10.1371/journal.pgen.1003234
    72 schema:datePublished 2016-12
    73 schema:datePublishedReg 2016-12-01
    74 schema:description BACKGROUND: While active LINE-1 (L1) elements possess the ability to mobilize flanking sequences to different genomic loci through a process termed transduction influencing genomic content and structure, an approach for detecting polymorphic germline non-reference transductions in massively-parallel sequencing data has been lacking. RESULTS: Here we present the computational approach TIGER (Transduction Inference in GERmline genomes), enabling the discovery of non-reference L1-mediated transductions by combining L1 discovery with detection of unique insertion sequences and detailed characterization of insertion sites. We employed TIGER to characterize polymorphic transductions in fifteen genomes from non-human primate species (chimpanzee, orangutan and rhesus macaque), as well as in a human genome. We achieved high accuracy as confirmed by PCR and two single molecule DNA sequencing techniques, and uncovered differences in relative rates of transduction between primate species. CONCLUSIONS: By enabling detection of polymorphic transductions, TIGER makes this form of relevant structural variation amenable for population and personal genome analysis.
    75 schema:genre research_article
    76 schema:inLanguage en
    77 schema:isAccessibleForFree true
    78 schema:isPartOf N79b88e08cb49422cb998b3293f6d91f3
    79 Nd18ca214def945f8be83d7b95407df99
    80 sg:journal.1023790
    81 schema:name Next-generation sequencing-based detection of germline L1-mediated transductions
    82 schema:pagination 342
    83 schema:productId N11a3803d69b5438fa9c5ee2aec1c79de
    84 N11cbbbfbd41e4d10abba025fafd894a5
    85 N3828876ab0f64514a33856aa2a4a26ad
    86 Na63895be973c40c1803254495fa836f3
    87 Nc1bdcf01f060437c88190a4f91d030be
    88 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038501935
    89 https://doi.org/10.1186/s12864-016-2670-x
    90 schema:sdDatePublished 2019-04-10T17:32
    91 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    92 schema:sdPublisher Nc81f8a2ca3184594a5ed9cf815374a43
    93 schema:url http://link.springer.com/10.1186%2Fs12864-016-2670-x
    94 sgo:license sg:explorer/license/
    95 sgo:sdDataset articles
    96 rdf:type schema:ScholarlyArticle
    97 N02e57a58904a4c2f8fe757fc4b452b69 rdf:first sg:person.0772174216.94
    98 rdf:rest rdf:nil
    99 N11a3803d69b5438fa9c5ee2aec1c79de schema:name dimensions_id
    100 schema:value pub.1038501935
    101 rdf:type schema:PropertyValue
    102 N11cbbbfbd41e4d10abba025fafd894a5 schema:name nlm_unique_id
    103 schema:value 100965258
    104 rdf:type schema:PropertyValue
    105 N1962f3e79c5b4cabb1ca76fcfa2f6f9c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    106 schema:name Pan troglodytes
    107 rdf:type schema:DefinedTerm
    108 N2b007373fc614dc7b07114563927b5ac rdf:first sg:person.0711057216.83
    109 rdf:rest Nc2b4ff21f4914ccbb3ec669ad9af0639
    110 N3828876ab0f64514a33856aa2a4a26ad schema:name readcube_id
    111 schema:value b7680de7e9f456a64d8ec6b99d3caf9397fc02782de0520e302864d16da5b749
    112 rdf:type schema:PropertyValue
    113 N4bf6ebe29fa9438f9701297a9de17cbf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    114 schema:name Macaca mulatta
    115 rdf:type schema:DefinedTerm
    116 N4bfd934cc8ca427d8c679961db09aaf7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    117 schema:name Genome
    118 rdf:type schema:DefinedTerm
    119 N50c2ea5736384dc0a8ef435c6f23ff26 rdf:first sg:person.01344715157.42
    120 rdf:rest N62b734129547488a9aa4fffbf2fc90a2
    121 N536548466b4d44b28cbe8e9c76365349 rdf:first sg:person.01124161515.41
    122 rdf:rest N817ebf59b2404ad8ab40127c23e4beef
    123 N53bb3be981824b63b35f97222741d3bd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    124 schema:name Germ Cells
    125 rdf:type schema:DefinedTerm
    126 N62b734129547488a9aa4fffbf2fc90a2 rdf:first sg:person.011301645114.34
    127 rdf:rest Nb53a4a668ed843159b0acfaf48f3842a
    128 N66defc0dde2b4a00bc37c91ba1fdf1e7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    129 schema:name Humans
    130 rdf:type schema:DefinedTerm
    131 N79b88e08cb49422cb998b3293f6d91f3 schema:issueNumber 1
    132 rdf:type schema:PublicationIssue
    133 N817ebf59b2404ad8ab40127c23e4beef rdf:first sg:person.015712733137.85
    134 rdf:rest N2b007373fc614dc7b07114563927b5ac
    135 N885d4e69277d42b1aef2d1c3b2f6e84a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    136 schema:name Base Sequence
    137 rdf:type schema:DefinedTerm
    138 N8f3f9675024e4aca916b18599c1c7a32 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    139 schema:name Long Interspersed Nucleotide Elements
    140 rdf:type schema:DefinedTerm
    141 N91f591248de2406f86e8c3211745eaad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    142 schema:name Computational Biology
    143 rdf:type schema:DefinedTerm
    144 Na63895be973c40c1803254495fa836f3 schema:name pubmed_id
    145 schema:value 27161561
    146 rdf:type schema:PropertyValue
    147 Nb0d3f3caec254ba5a225440f2ad56102 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    148 schema:name High-Throughput Nucleotide Sequencing
    149 rdf:type schema:DefinedTerm
    150 Nb53a4a668ed843159b0acfaf48f3842a rdf:first sg:person.01024612701.33
    151 rdf:rest Nce4964e332a44a0bb96dd7cfedaf8a34
    152 Nc168d911f558414fbc1726f3e51478cf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    153 schema:name Transduction, Genetic
    154 rdf:type schema:DefinedTerm
    155 Nc1bdcf01f060437c88190a4f91d030be schema:name doi
    156 schema:value 10.1186/s12864-016-2670-x
    157 rdf:type schema:PropertyValue
    158 Nc2b4ff21f4914ccbb3ec669ad9af0639 rdf:first sg:person.01220035355.21
    159 rdf:rest Nf1e7e1c1ee9c4dc7bc8536d8ec4c4cd6
    160 Nc81f8a2ca3184594a5ed9cf815374a43 schema:name Springer Nature - SN SciGraph project
    161 rdf:type schema:Organization
    162 Nce4964e332a44a0bb96dd7cfedaf8a34 rdf:first sg:person.01117263347.40
    163 rdf:rest N02e57a58904a4c2f8fe757fc4b452b69
    164 Nd18ca214def945f8be83d7b95407df99 schema:volumeNumber 17
    165 rdf:type schema:PublicationVolume
    166 Nde1773c35e554c52a883a9a37bc14f5f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    167 schema:name Animals
    168 rdf:type schema:DefinedTerm
    169 Nf1e7e1c1ee9c4dc7bc8536d8ec4c4cd6 rdf:first sg:person.01031664136.93
    170 rdf:rest N50c2ea5736384dc0a8ef435c6f23ff26
    171 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    172 schema:name Biological Sciences
    173 rdf:type schema:DefinedTerm
    174 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    175 schema:name Genetics
    176 rdf:type schema:DefinedTerm
    177 sg:journal.1023790 schema:issn 1471-2164
    178 schema:name BMC Genomics
    179 rdf:type schema:Periodical
    180 sg:person.01024612701.33 schema:affiliation https://www.grid.ac/institutes/grid.62560.37
    181 schema:familyName Park
    182 schema:givenName Peter J.
    183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024612701.33
    184 rdf:type schema:Person
    185 sg:person.01031664136.93 schema:affiliation https://www.grid.ac/institutes/grid.4709.a
    186 schema:familyName Garfield
    187 schema:givenName David A.
    188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031664136.93
    189 rdf:type schema:Person
    190 sg:person.01117263347.40 schema:affiliation https://www.grid.ac/institutes/grid.4709.a
    191 schema:familyName Stütz
    192 schema:givenName Adrian M.
    193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01117263347.40
    194 rdf:type schema:Person
    195 sg:person.01124161515.41 schema:affiliation https://www.grid.ac/institutes/grid.4709.a
    196 schema:familyName Tica
    197 schema:givenName Jelena
    198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01124161515.41
    199 rdf:type schema:Person
    200 sg:person.011301645114.34 schema:affiliation https://www.grid.ac/institutes/grid.4709.a
    201 schema:familyName Furlong
    202 schema:givenName Eileen E.M.
    203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011301645114.34
    204 rdf:type schema:Person
    205 sg:person.01220035355.21 schema:affiliation https://www.grid.ac/institutes/grid.4709.a
    206 schema:familyName Meiers
    207 schema:givenName Sascha
    208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220035355.21
    209 rdf:type schema:Person
    210 sg:person.01344715157.42 schema:affiliation https://www.grid.ac/institutes/grid.273335.3
    211 schema:familyName Gokcumen
    212 schema:givenName Omer
    213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344715157.42
    214 rdf:type schema:Person
    215 sg:person.015712733137.85 schema:affiliation https://www.grid.ac/institutes/grid.62560.37
    216 schema:familyName Lee
    217 schema:givenName Eunjung
    218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015712733137.85
    219 rdf:type schema:Person
    220 sg:person.0711057216.83 schema:affiliation https://www.grid.ac/institutes/grid.7700.0
    221 schema:familyName Untergasser
    222 schema:givenName Andreas
    223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711057216.83
    224 rdf:type schema:Person
    225 sg:person.0772174216.94 schema:affiliation https://www.grid.ac/institutes/grid.225360.0
    226 schema:familyName Korbel
    227 schema:givenName Jan O.
    228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0772174216.94
    229 rdf:type schema:Person
    230 sg:pub.10.1007/s00439-003-0970-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036567075
    231 https://doi.org/10.1007/s00439-003-0970-0
    232 rdf:type schema:CreativeWork
    233 sg:pub.10.1038/35057062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042854081
    234 https://doi.org/10.1038/35057062
    235 rdf:type schema:CreativeWork
    236 sg:pub.10.1038/nature04072 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042676864
    237 https://doi.org/10.1038/nature04072
    238 rdf:type schema:CreativeWork
    239 sg:pub.10.1038/nature09534 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010608717
    240 https://doi.org/10.1038/nature09534
    241 rdf:type schema:CreativeWork
    242 sg:pub.10.1038/nature09687 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023552206
    243 https://doi.org/10.1038/nature09687
    244 rdf:type schema:CreativeWork
    245 sg:pub.10.1038/nature09708 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034732435
    246 https://doi.org/10.1038/nature09708
    247 rdf:type schema:CreativeWork
    248 sg:pub.10.1038/nature13907 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014139802
    249 https://doi.org/10.1038/nature13907
    250 rdf:type schema:CreativeWork
    251 sg:pub.10.1038/ng0694-143 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014552572
    252 https://doi.org/10.1038/ng0694-143
    253 rdf:type schema:CreativeWork
    254 sg:pub.10.1038/nmeth.3454 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013577548
    255 https://doi.org/10.1038/nmeth.3454
    256 rdf:type schema:CreativeWork
    257 sg:pub.10.1038/nrg2487 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023394776
    258 https://doi.org/10.1038/nrg2487
    259 rdf:type schema:CreativeWork
    260 sg:pub.10.1038/nrg2640 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030857078
    261 https://doi.org/10.1038/nrg2640
    262 rdf:type schema:CreativeWork
    263 sg:pub.10.1038/nrg3030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049899208
    264 https://doi.org/10.1038/nrg3030
    265 rdf:type schema:CreativeWork
    266 sg:pub.10.1186/1471-2164-15-795 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030629312
    267 https://doi.org/10.1186/1471-2164-15-795
    268 rdf:type schema:CreativeWork
    269 sg:pub.10.1186/gb-2003-4-5-r30 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045523917
    270 https://doi.org/10.1186/gb-2003-4-5-r30
    271 rdf:type schema:CreativeWork
    272 sg:pub.10.1186/gb-2009-10-9-r100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037813852
    273 https://doi.org/10.1186/gb-2009-10-9-r100
    274 rdf:type schema:CreativeWork
    275 sg:pub.10.1186/gb-2013-14-3-r22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045187544
    276 https://doi.org/10.1186/gb-2013-14-3-r22
    277 rdf:type schema:CreativeWork
    278 sg:pub.10.1186/s12859-014-0377-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1040994266
    279 https://doi.org/10.1186/s12859-014-0377-z
    280 rdf:type schema:CreativeWork
    281 sg:pub.10.1186/s12864-015-1685-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1049863155
    282 https://doi.org/10.1186/s12864-015-1685-z
    283 rdf:type schema:CreativeWork
    284 sg:pub.10.1186/s13059-014-0488-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1018212545
    285 https://doi.org/10.1186/s13059-014-0488-x
    286 rdf:type schema:CreativeWork
    287 https://doi.org/10.1002/bies.201100075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036645797
    288 rdf:type schema:CreativeWork
    289 https://doi.org/10.1002/humu.21663 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017456058
    290 rdf:type schema:CreativeWork
    291 https://doi.org/10.1002/humu.22327 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012333000
    292 rdf:type schema:CreativeWork
    293 https://doi.org/10.1002/j.1460-2075.1984.tb02042.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1081561729
    294 rdf:type schema:CreativeWork
    295 https://doi.org/10.1016/0092-8674(93)90078-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007964648
    296 rdf:type schema:CreativeWork
    297 https://doi.org/10.1016/j.cell.2010.10.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023331825
    298 rdf:type schema:CreativeWork
    299 https://doi.org/10.1016/j.cell.2012.09.035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038558052
    300 rdf:type schema:CreativeWork
    301 https://doi.org/10.1016/j.gde.2012.02.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022623956
    302 rdf:type schema:CreativeWork
    303 https://doi.org/10.1016/j.neuron.2014.12.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013277282
    304 rdf:type schema:CreativeWork
    305 https://doi.org/10.1016/j.tig.2007.02.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014272599
    306 rdf:type schema:CreativeWork
    307 https://doi.org/10.1016/s0092-8674(02)00839-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041352148
    308 rdf:type schema:CreativeWork
    309 https://doi.org/10.1073/pnas.0603224103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019434311
    310 rdf:type schema:CreativeWork
    311 https://doi.org/10.1073/pnas.1305904110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047920343
    312 rdf:type schema:CreativeWork
    313 https://doi.org/10.1073/pnas.1310914110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021651096
    314 rdf:type schema:CreativeWork
    315 https://doi.org/10.1073/pnas.94.5.1872 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045628301
    316 rdf:type schema:CreativeWork
    317 https://doi.org/10.1086/380207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002154777
    318 rdf:type schema:CreativeWork
    319 https://doi.org/10.1093/bib/bbs017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029766327
    320 rdf:type schema:CreativeWork
    321 https://doi.org/10.1093/bioinformatics/bts378 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032917074
    322 rdf:type schema:CreativeWork
    323 https://doi.org/10.1093/bioinformatics/bts697 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010518911
    324 rdf:type schema:CreativeWork
    325 https://doi.org/10.1093/hmg/9.4.653 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022877618
    326 rdf:type schema:CreativeWork
    327 https://doi.org/10.1093/hmg/ddm108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021972171
    328 rdf:type schema:CreativeWork
    329 https://doi.org/10.1093/nar/gkh698 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006066900
    330 rdf:type schema:CreativeWork
    331 https://doi.org/10.1101/gr.091827.109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052032294
    332 rdf:type schema:CreativeWork
    333 https://doi.org/10.1101/gr.093435.109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002085135
    334 rdf:type schema:CreativeWork
    335 https://doi.org/10.1101/gr.10.4.411 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043410408
    336 rdf:type schema:CreativeWork
    337 https://doi.org/10.1101/gr.106419.110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044456530
    338 rdf:type schema:CreativeWork
    339 https://doi.org/10.1101/gr.229202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006260064
    340 rdf:type schema:CreativeWork
    341 https://doi.org/10.1126/science.1089670 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026603190
    342 rdf:type schema:CreativeWork
    343 https://doi.org/10.1126/science.1139247 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032282710
    344 rdf:type schema:CreativeWork
    345 https://doi.org/10.1126/science.1139462 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040195804
    346 rdf:type schema:CreativeWork
    347 https://doi.org/10.1126/science.1149504 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062456540
    348 rdf:type schema:CreativeWork
    349 https://doi.org/10.1126/science.1162986 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021160342
    350 rdf:type schema:CreativeWork
    351 https://doi.org/10.1126/science.1222077 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028770194
    352 rdf:type schema:CreativeWork
    353 https://doi.org/10.1126/science.1251343 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000404692
    354 rdf:type schema:CreativeWork
    355 https://doi.org/10.1126/science.283.5407.1530 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062564404
    356 rdf:type schema:CreativeWork
    357 https://doi.org/10.1128/mcb.00860-12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043547537
    358 rdf:type schema:CreativeWork
    359 https://doi.org/10.1371/journal.pgen.1002236 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021160978
    360 rdf:type schema:CreativeWork
    361 https://doi.org/10.1371/journal.pgen.1003234 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012155273
    362 rdf:type schema:CreativeWork
    363 https://www.grid.ac/institutes/grid.225360.0 schema:alternateName European Bioinformatics Institute
    364 schema:name European Molecular Biology Laboratory, Genome Biology Unit, 69117, Heidelberg, Germany
    365 European Molecular Biology Laboratory-European Bioinformatics Institute, Wellcome Trust Genome Campus, CB10 1SD, Cambridge, UK
    366 rdf:type schema:Organization
    367 https://www.grid.ac/institutes/grid.273335.3 schema:alternateName University at Buffalo, State University of New York
    368 schema:name Department of Biological Sciences, State University of New York at Buffalo, 14260-1300, Buffalo, NY, USA
    369 rdf:type schema:Organization
    370 https://www.grid.ac/institutes/grid.4709.a schema:alternateName European Molecular Biology Laboratory
    371 schema:name European Molecular Biology Laboratory, Genome Biology Unit, 69117, Heidelberg, Germany
    372 rdf:type schema:Organization
    373 https://www.grid.ac/institutes/grid.62560.37 schema:alternateName Brigham and Women's Hospital
    374 schema:name Department of Biomedical Informatics, Harvard Medical School, 02115, Boston, MA, USA
    375 Division of Genetics, Brigham and Women’s Hospital, 02115, Boston, MA, USA
    376 rdf:type schema:Organization
    377 https://www.grid.ac/institutes/grid.7700.0 schema:alternateName Heidelberg University
    378 schema:name Center of Molecular Biology (ZMBH), Heidelberg University, Im Neuenheimer Feld 282, 69120, Heidelberg, Germany
    379 European Molecular Biology Laboratory, Genome Biology Unit, 69117, Heidelberg, Germany
    380 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...