Fast gapped-read alignment with Bowtie 2 View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-04

AUTHORS

Ben Langmead, Steven L Salzberg

ABSTRACT

As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy. More... »

PAGES

357

References to SciGraph publications

Journal

TITLE

Nature Methods

ISSUE

4

VOLUME

9

Author Affiliations

Related Patents

  • Base Sequence Alignment System And Method
  • Base Sequence Alignment System And Method
  • Base Sequence Alignment System And Method Taking Into Account The Whole Read
  • Methods Relating To The Detection Of Recurrent And Non-Specific Double Strand Breaks In The Genome
  • Methods Of Storing Information Using Nucleic Acids
  • Method And System For Determining Cancer Status
  • Combination Of A Brd4 Inhibitor And An Antifolate For The Therapy Of Cancer
  • A Qtl For Omega-3 Fatty Acid Content In Fish
  • System And Method For Genomic Data Processing With An In-Memory Database System And Real-Time Analysis
  • Populations Of Neural Progenitor Cells And Methods Of Producing And Using Same
  • Nucleic Acids And Methods For Detecting Methylation Status
  • Cloud-Based Hardware Architecture
  • System And Method For Genotyping Using Informed Error Profiles
  • Novel Androgen Receptor Mutation
  • Methods For Detecting Genetic Variations
  • Role Of A Cluster Of Long Noncoding Rna Transcripts In Protecting The Heart From Pathological Hypertrophy
  • Method For Predicting Resistance
  • Functional Genomics Using Crispr-Cas Systems, Compositions, Methods, Screens And Applications Thereof
  • Efficient Genomic Read Alignment In An In-Memory Database
  • Sex Determination Genes And Their Use In Breeding
  • Genome Architecture Mapping
  • Methods And Compositions For Obtaining Useful Plant Traits
  • Method And Computer Program Product For Detecting Mutation In A Nucleotide Sequence
  • Endogenous Retrovirus Transcription As A Marker For Primate Naïve Pluripotent Stem Cells
  • Intermittent Dosing Of An Anti-Csf-1r Antibody In Combination With Macrophage Activating Agent
  • System, Method And Computer-Accessible Medium For Genetic Base Calling And Mapping
  • Erk1 And Erk2 Mutations That Confer Resistance To Mapk Pathway Inhibitors
  • Human Liver Chimeric Non-Human Animal With Deficient P450 Oxidoreductase And Methods Of Using Same
  • Human Innate Lymphoid Cell Precursors: Identification, Characterization, Applications
  • Surface Markers For The Isolation Of Myogenic Stem/Progenitor Cells
  • Targeting Gdf6 And Bmp Signaling For Anti-Melanoma Therapy
  • Molecular Biomarkers For Cancer Immunotherapy
  • Genome Architecture Mapping
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nmeth.1923

    DOI

    http://dx.doi.org/10.1038/nmeth.1923

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1006541515

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/22388286


    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/2008/0804", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Data Format", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Algorithms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Computational Biology", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Databases, Genetic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genome, Human", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Sequence Alignment", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Sequence Analysis, DNA", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Johns Hopkins University", 
              "id": "https://www.grid.ac/institutes/grid.21107.35", 
              "name": [
                "Center for Bioinformatics and Computational Biology, Institute for Advanced Computer Studies, University of Maryland, College Park, Maryland, USA.", 
                "Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Langmead", 
            "givenName": "Ben", 
            "id": "sg:person.011763134307.48", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011763134307.48"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Johns Hopkins University", 
              "id": "https://www.grid.ac/institutes/grid.21107.35", 
              "name": [
                "Center for Bioinformatics and Computational Biology, Institute for Advanced Computer Studies, University of Maryland, College Park, Maryland, USA.", 
                "Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.", 
                "McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Salzberg", 
            "givenName": "Steven L", 
            "id": "sg:person.01223441713.02", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223441713.02"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/nature10242", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007480955", 
              "https://doi.org/10.1038/nature10242"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.123638.111", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009365831"
            ], 
            "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/10.1093/bioinformatics/btp698", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012031985"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btp336", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016441007"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bib/bbq015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019203929"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bib/bbq015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019203929"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btp352", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023014918"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1621", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031035095", 
              "https://doi.org/10.1038/nbt.1621"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.107524.110", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032096953"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btp324", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038266369"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2010-11-8-r83", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039544540", 
              "https://doi.org/10.1186/gb-2010-11-8-r83"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2009-10-3-r25", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049583368", 
              "https://doi.org/10.1186/gb-2009-10-3-r25"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2012-04", 
        "datePublishedReg": "2012-04-01", 
        "description": "As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/nmeth.1923", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.2529425", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2529453", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2519905", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1033763", 
            "issn": [
              "1548-7091", 
              "1548-7105"
            ], 
            "name": "Nature Methods", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "4", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "9"
          }
        ], 
        "name": "Fast gapped-read alignment with Bowtie 2", 
        "pagination": "357", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "1f287ea7282971e159c4e2bc9f0786d0abbf254cec8f2e3346071011958ae247"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "22388286"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101215604"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/nmeth.1923"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1006541515"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/nmeth.1923", 
          "https://app.dimensions.ai/details/publication/pub.1006541515"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T21:25", 
        "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_8687_00000435.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://www.nature.com/articles/nmeth.1923"
      }
    ]
     

    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.10.1038/nmeth.1923'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/nmeth.1923'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nmeth.1923'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nmeth.1923'


     

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

    153 TRIPLES      21 PREDICATES      48 URIs      28 LITERALS      16 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/nmeth.1923 schema:about N454b8e337b5b4bdba815536eb8e020e2
    2 N6d859e2b46764c0eb57c45361d599a7a
    3 N76790bc778a44f48a6989cefe196778a
    4 N96597af4438144b7ac05b053ac8f9bb8
    5 N993e7e3c6c924d8681f5d7f494d10270
    6 Ne357f1ffcfef4587b9c842d2db07abc4
    7 Nebd8ed20caa54a349b90d1a46c370db0
    8 anzsrc-for:08
    9 anzsrc-for:0804
    10 schema:author Nead04a1055cd4bbbb6b59634ef26af21
    11 schema:citation sg:pub.10.1038/nature09534
    12 sg:pub.10.1038/nature10242
    13 sg:pub.10.1038/nbt.1621
    14 sg:pub.10.1186/gb-2009-10-3-r25
    15 sg:pub.10.1186/gb-2010-11-8-r83
    16 https://doi.org/10.1093/bib/bbq015
    17 https://doi.org/10.1093/bioinformatics/btp324
    18 https://doi.org/10.1093/bioinformatics/btp336
    19 https://doi.org/10.1093/bioinformatics/btp352
    20 https://doi.org/10.1093/bioinformatics/btp698
    21 https://doi.org/10.1101/gr.107524.110
    22 https://doi.org/10.1101/gr.123638.111
    23 schema:datePublished 2012-04
    24 schema:datePublishedReg 2012-04-01
    25 schema:description As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
    26 schema:genre research_article
    27 schema:inLanguage en
    28 schema:isAccessibleForFree true
    29 schema:isPartOf N5ffc023963a14d4baf0a42c6051aeca7
    30 N6e953cf4b55f4c3f8a6412f460d05d98
    31 sg:journal.1033763
    32 schema:name Fast gapped-read alignment with Bowtie 2
    33 schema:pagination 357
    34 schema:productId N1ed9310e5bbd4afbba0833a8481c4e2d
    35 N245da399dc2c490483d07251cc80792c
    36 N72c7cb55bb0440dc811d80aefef1966e
    37 Nd093f881d6ac4ec3b25dc54b6ff66391
    38 Nd0ed7793f52742fbaf5afb8710cdab99
    39 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006541515
    40 https://doi.org/10.1038/nmeth.1923
    41 schema:sdDatePublished 2019-04-10T21:25
    42 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    43 schema:sdPublisher N6db021838c7a4fe49dba440d1e758b55
    44 schema:url https://www.nature.com/articles/nmeth.1923
    45 sgo:license sg:explorer/license/
    46 sgo:sdDataset articles
    47 rdf:type schema:ScholarlyArticle
    48 N1ed9310e5bbd4afbba0833a8481c4e2d schema:name dimensions_id
    49 schema:value pub.1006541515
    50 rdf:type schema:PropertyValue
    51 N245da399dc2c490483d07251cc80792c schema:name doi
    52 schema:value 10.1038/nmeth.1923
    53 rdf:type schema:PropertyValue
    54 N454b8e337b5b4bdba815536eb8e020e2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    55 schema:name Genome, Human
    56 rdf:type schema:DefinedTerm
    57 N5ffc023963a14d4baf0a42c6051aeca7 schema:volumeNumber 9
    58 rdf:type schema:PublicationVolume
    59 N6d859e2b46764c0eb57c45361d599a7a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    60 schema:name Sequence Alignment
    61 rdf:type schema:DefinedTerm
    62 N6db021838c7a4fe49dba440d1e758b55 schema:name Springer Nature - SN SciGraph project
    63 rdf:type schema:Organization
    64 N6e953cf4b55f4c3f8a6412f460d05d98 schema:issueNumber 4
    65 rdf:type schema:PublicationIssue
    66 N72c7cb55bb0440dc811d80aefef1966e schema:name readcube_id
    67 schema:value 1f287ea7282971e159c4e2bc9f0786d0abbf254cec8f2e3346071011958ae247
    68 rdf:type schema:PropertyValue
    69 N76790bc778a44f48a6989cefe196778a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    70 schema:name Computational Biology
    71 rdf:type schema:DefinedTerm
    72 N96597af4438144b7ac05b053ac8f9bb8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    73 schema:name Algorithms
    74 rdf:type schema:DefinedTerm
    75 N96f9331935044eeda0a7a210cf6fed35 rdf:first sg:person.01223441713.02
    76 rdf:rest rdf:nil
    77 N993e7e3c6c924d8681f5d7f494d10270 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    78 schema:name Databases, Genetic
    79 rdf:type schema:DefinedTerm
    80 Nd093f881d6ac4ec3b25dc54b6ff66391 schema:name nlm_unique_id
    81 schema:value 101215604
    82 rdf:type schema:PropertyValue
    83 Nd0ed7793f52742fbaf5afb8710cdab99 schema:name pubmed_id
    84 schema:value 22388286
    85 rdf:type schema:PropertyValue
    86 Ne357f1ffcfef4587b9c842d2db07abc4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    87 schema:name Humans
    88 rdf:type schema:DefinedTerm
    89 Nead04a1055cd4bbbb6b59634ef26af21 rdf:first sg:person.011763134307.48
    90 rdf:rest N96f9331935044eeda0a7a210cf6fed35
    91 Nebd8ed20caa54a349b90d1a46c370db0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    92 schema:name Sequence Analysis, DNA
    93 rdf:type schema:DefinedTerm
    94 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    95 schema:name Information and Computing Sciences
    96 rdf:type schema:DefinedTerm
    97 anzsrc-for:0804 schema:inDefinedTermSet anzsrc-for:
    98 schema:name Data Format
    99 rdf:type schema:DefinedTerm
    100 sg:grant.2519905 http://pending.schema.org/fundedItem sg:pub.10.1038/nmeth.1923
    101 rdf:type schema:MonetaryGrant
    102 sg:grant.2529425 http://pending.schema.org/fundedItem sg:pub.10.1038/nmeth.1923
    103 rdf:type schema:MonetaryGrant
    104 sg:grant.2529453 http://pending.schema.org/fundedItem sg:pub.10.1038/nmeth.1923
    105 rdf:type schema:MonetaryGrant
    106 sg:journal.1033763 schema:issn 1548-7091
    107 1548-7105
    108 schema:name Nature Methods
    109 rdf:type schema:Periodical
    110 sg:person.011763134307.48 schema:affiliation https://www.grid.ac/institutes/grid.21107.35
    111 schema:familyName Langmead
    112 schema:givenName Ben
    113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011763134307.48
    114 rdf:type schema:Person
    115 sg:person.01223441713.02 schema:affiliation https://www.grid.ac/institutes/grid.21107.35
    116 schema:familyName Salzberg
    117 schema:givenName Steven L
    118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223441713.02
    119 rdf:type schema:Person
    120 sg:pub.10.1038/nature09534 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010608717
    121 https://doi.org/10.1038/nature09534
    122 rdf:type schema:CreativeWork
    123 sg:pub.10.1038/nature10242 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007480955
    124 https://doi.org/10.1038/nature10242
    125 rdf:type schema:CreativeWork
    126 sg:pub.10.1038/nbt.1621 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031035095
    127 https://doi.org/10.1038/nbt.1621
    128 rdf:type schema:CreativeWork
    129 sg:pub.10.1186/gb-2009-10-3-r25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049583368
    130 https://doi.org/10.1186/gb-2009-10-3-r25
    131 rdf:type schema:CreativeWork
    132 sg:pub.10.1186/gb-2010-11-8-r83 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039544540
    133 https://doi.org/10.1186/gb-2010-11-8-r83
    134 rdf:type schema:CreativeWork
    135 https://doi.org/10.1093/bib/bbq015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019203929
    136 rdf:type schema:CreativeWork
    137 https://doi.org/10.1093/bioinformatics/btp324 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038266369
    138 rdf:type schema:CreativeWork
    139 https://doi.org/10.1093/bioinformatics/btp336 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016441007
    140 rdf:type schema:CreativeWork
    141 https://doi.org/10.1093/bioinformatics/btp352 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023014918
    142 rdf:type schema:CreativeWork
    143 https://doi.org/10.1093/bioinformatics/btp698 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012031985
    144 rdf:type schema:CreativeWork
    145 https://doi.org/10.1101/gr.107524.110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032096953
    146 rdf:type schema:CreativeWork
    147 https://doi.org/10.1101/gr.123638.111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009365831
    148 rdf:type schema:CreativeWork
    149 https://www.grid.ac/institutes/grid.21107.35 schema:alternateName Johns Hopkins University
    150 schema:name Center for Bioinformatics and Computational Biology, Institute for Advanced Computer Studies, University of Maryland, College Park, Maryland, USA.
    151 Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
    152 McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
    153 rdf:type schema:Organization
     




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


    ...