Ultrafast and memory-efficient alignment of short DNA sequences to the human genome View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2009-03

AUTHORS

Ben Langmead, Cole Trapnell, Mihai Pop, Steven L Salzberg

ABSTRACT

Bowtie is an ultrafast, memory-efficient alignment program for aligning short DNA sequence reads to large genomes. For the human genome, Burrows-Wheeler indexing allows Bowtie to align more than 25 million reads per CPU hour with a memory footprint of approximately 1.3 gigabytes. Bowtie extends previous Burrows-Wheeler techniques with a novel quality-aware backtracking algorithm that permits mismatches. Multiple processor cores can be used simultaneously to achieve even greater alignment speeds. Bowtie is open source (http://bowtie.cbcb.umd.edu). More... »

PAGES

r25

Journal

TITLE

Genome Biology

ISSUE

3

VOLUME

10

Related Patents

  • Microrna Mir-142 As Stem Cell Marker
  • Methods Of Enhancing Health And/Or Promoting Growth Of A Plant And/Or Of Improving Fruit Ripening
  • Method, Device, And Computer Program For Assembling Pieces Of Chromosomes From One Or Several Organisms
  • Agents Providing Controls And Standards For Immunoprecipitation Assays
  • Animal Model For Type 2 Diabetes And Obesity
  • Methods And Processes For Non-Invasive Assessment Of Genetic Variations
  • Crispr Mediated Recording Of Cellular Events
  • Massively Parallel Combinatorial Genetics For Crispr
  • Identification Of A Person Having Risk For Atherosclerosis And Associated Diseases By The Person's Gut Microbiome And The Prevention Of Such Diseases
  • Rapid Aneuploidy Detection
  • Methods For Programming Differentiated Cells Into Hematopoietic Stem Cells
  • Modulation Of Novel Immune Checkpoint Targets
  • Method, Device, And Computer Program For Assembling Pieces Of Chromosomes From One Or Several Organisms
  • Method For Assessing The Quality Of Various Cells Including Induced Pluripotent Stem Cells
  • Animal Model For Type 2 Diabetes And Obesity
  • Angiohematopoietic Progenitor Cells
  • System And Methods For Detecting Genetic Variation
  • A Method For High Level And Stable Gene Transfer In Lymphocytes
  • Compounds For Inducing Anti-Tumor Immunity And Methods Thereof
  • Methods And Compositions For Analyzing Nucleic Acid
  • Jak Inhibitors For Activation Of Epidermal Stem Cell Populations
  • Methods Of Differentiating Stem Cells Into One Or More Cell Lineages
  • Direct Capture, Amplification And Sequencing Of Target Dna Using Immobilized Primers
  • Polony Sequencing Methods
  • Reducing Sequence Read Count Error In Assessment Of Complex Genetic Variations
  • Methods Of Treating Liver Toxicity And Disorders
  • Methods And Processes For Non-Invasive Assessment Of Genetic Variations
  • Polony Sequencing Methods
  • Methods And Compositions For Marker-Free Genome Modification
  • Agents Providing Controls And Standards For Immuno-Precipitation Assays
  • Methods And Apparatus For Assigning A Meaningful Numeric Value To Genomic Variants, And Searching And Assessing Same
  • Compositions And Methods For Personalized Neoplasia Vaccines
  • Mutant Cells For Protein Secretion And Lignocellulose Degradation
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/gb-2009-10-3-r25

    DOI

    http://dx.doi.org/10.1186/gb-2009-10-3-r25

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1049583368

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/19261174


    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": "Algorithms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Base Sequence", 
            "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"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "University of Maryland, College Park", 
              "id": "https://www.grid.ac/institutes/grid.164295.d", 
              "name": [
                "Center for Bioinformatics and Computational Biology, Institute for Advanced Computer Studies, University of Maryland, 20742, College Park, MD, 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": "University of Maryland, College Park", 
              "id": "https://www.grid.ac/institutes/grid.164295.d", 
              "name": [
                "Center for Bioinformatics and Computational Biology, Institute for Advanced Computer Studies, University of Maryland, 20742, College Park, MD, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Trapnell", 
            "givenName": "Cole", 
            "id": "sg:person.01247375013.30", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01247375013.30"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Maryland, College Park", 
              "id": "https://www.grid.ac/institutes/grid.164295.d", 
              "name": [
                "Center for Bioinformatics and Computational Biology, Institute for Advanced Computer Studies, University of Maryland, 20742, College Park, MD, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Pop", 
            "givenName": "Mihai", 
            "id": "sg:person.01347372513.23", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01347372513.23"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Maryland, College Park", 
              "id": "https://www.grid.ac/institutes/grid.164295.d", 
              "name": [
                "Center for Bioinformatics and Computational Biology, Institute for Advanced Computer Studies, University of Maryland, 20742, College Park, MD, 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": "https://doi.org/10.1093/bioinformatics/18.3.440", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006017712"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0020-0190(96)00083-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010320336"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btn025", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012266713"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature07484", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016969839", 
              "https://doi.org/10.1038/nature07484"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1141319", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018702276"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btn416", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021908406"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.1350803", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023905199"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0022-2836(81)90087-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024589839"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-9-128", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029892891", 
              "https://doi.org/10.1186/1471-2105-9-128"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt1414", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030992136", 
              "https://doi.org/10.1038/nbt1414"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.195", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031106868", 
              "https://doi.org/10.1038/ng.195"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btm200", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032011507"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btn032", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032165726"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature07485", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034796960", 
              "https://doi.org/10.1038/nature07485"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tcs.2007.07.018", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037014872"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.8.3.186", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038920266"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.079558.108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045837493"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.128", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047246435", 
              "https://doi.org/10.1038/ng.128"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.078212.108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047542880"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-9-11", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049945398", 
              "https://doi.org/10.1186/1471-2105-9-11"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature07517", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052925719", 
              "https://doi.org/10.1038/nature07517"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1089/cmb.2005.12.407", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059245345"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1158441", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062457766"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.319.5862.395", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062597291"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/sfcs.2000.892127", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093824115"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2009-03", 
        "datePublishedReg": "2009-03-01", 
        "description": "Bowtie is an ultrafast, memory-efficient alignment program for aligning short DNA sequence reads to large genomes. For the human genome, Burrows-Wheeler indexing allows Bowtie to align more than 25 million reads per CPU hour with a memory footprint of approximately 1.3 gigabytes. Bowtie extends previous Burrows-Wheeler techniques with a novel quality-aware backtracking algorithm that permits mismatches. Multiple processor cores can be used simultaneously to achieve even greater alignment speeds. Bowtie is open source (http://bowtie.cbcb.umd.edu).", 
        "genre": "research_article", 
        "id": "sg:pub.10.1186/gb-2009-10-3-r25", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.2545461", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2519905", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2529352", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1023439", 
            "issn": [
              "1474-760X", 
              "1465-6906"
            ], 
            "name": "Genome Biology", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "3", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "10"
          }
        ], 
        "name": "Ultrafast and memory-efficient alignment of short DNA sequences to the human genome", 
        "pagination": "r25", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "ec33be66b17db4ad0f663886dfa701fcf4856820be72114b55ba871d1943c8d9"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "19261174"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "100960660"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/gb-2009-10-3-r25"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1049583368"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/gb-2009-10-3-r25", 
          "https://app.dimensions.ai/details/publication/pub.1049583368"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T15:02", 
        "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_8663_00000516.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1186%2Fgb-2009-10-3-r25"
      }
    ]
     

    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/gb-2009-10-3-r25'

    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/gb-2009-10-3-r25'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/gb-2009-10-3-r25'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/gb-2009-10-3-r25'


     

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

    199 TRIPLES      21 PREDICATES      59 URIs      26 LITERALS      14 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/gb-2009-10-3-r25 schema:about N16f5ede88d4b486890305e7606c7e54d
    2 N68a64762dee04d1e8a1bc3a51b793004
    3 N9825bcea98ba470ba0977cfa682ad6d4
    4 Nd0ab5ab7bae04600bdb9a9af81e1b4bf
    5 Ndb965ac103c14954936c8a80cee0abd9
    6 anzsrc-for:06
    7 anzsrc-for:0604
    8 schema:author N63ba0f29fff5483fbd68408c8005a677
    9 schema:citation sg:pub.10.1038/nature07484
    10 sg:pub.10.1038/nature07485
    11 sg:pub.10.1038/nature07517
    12 sg:pub.10.1038/nbt1414
    13 sg:pub.10.1038/ng.128
    14 sg:pub.10.1038/ng.195
    15 sg:pub.10.1186/1471-2105-9-11
    16 sg:pub.10.1186/1471-2105-9-128
    17 https://doi.org/10.1016/0020-0190(96)00083-x
    18 https://doi.org/10.1016/0022-2836(81)90087-5
    19 https://doi.org/10.1016/j.tcs.2007.07.018
    20 https://doi.org/10.1089/cmb.2005.12.407
    21 https://doi.org/10.1093/bioinformatics/18.3.440
    22 https://doi.org/10.1093/bioinformatics/btm200
    23 https://doi.org/10.1093/bioinformatics/btn025
    24 https://doi.org/10.1093/bioinformatics/btn032
    25 https://doi.org/10.1093/bioinformatics/btn416
    26 https://doi.org/10.1101/gr.078212.108
    27 https://doi.org/10.1101/gr.079558.108
    28 https://doi.org/10.1101/gr.1350803
    29 https://doi.org/10.1101/gr.8.3.186
    30 https://doi.org/10.1109/sfcs.2000.892127
    31 https://doi.org/10.1126/science.1141319
    32 https://doi.org/10.1126/science.1158441
    33 https://doi.org/10.1126/science.319.5862.395
    34 schema:datePublished 2009-03
    35 schema:datePublishedReg 2009-03-01
    36 schema:description Bowtie is an ultrafast, memory-efficient alignment program for aligning short DNA sequence reads to large genomes. For the human genome, Burrows-Wheeler indexing allows Bowtie to align more than 25 million reads per CPU hour with a memory footprint of approximately 1.3 gigabytes. Bowtie extends previous Burrows-Wheeler techniques with a novel quality-aware backtracking algorithm that permits mismatches. Multiple processor cores can be used simultaneously to achieve even greater alignment speeds. Bowtie is open source (http://bowtie.cbcb.umd.edu).
    37 schema:genre research_article
    38 schema:inLanguage en
    39 schema:isAccessibleForFree true
    40 schema:isPartOf Nbe08fe3404b34db898b4e29e20888b84
    41 Nc246c29f6b0e4554b4e7184fcf03790f
    42 sg:journal.1023439
    43 schema:name Ultrafast and memory-efficient alignment of short DNA sequences to the human genome
    44 schema:pagination r25
    45 schema:productId N2c167b81635441f1b9bcfefcdf6afd33
    46 N4ad63e89761a4593bf32fc23c3c59564
    47 N5aef311489f8443689f964586e4b2895
    48 N7510e640c69a43ddb92a16164713f26f
    49 Na80d4472bd02467cae5ecad620f61299
    50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049583368
    51 https://doi.org/10.1186/gb-2009-10-3-r25
    52 schema:sdDatePublished 2019-04-10T15:02
    53 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    54 schema:sdPublisher Nd027f69971af4df68801df6616331609
    55 schema:url http://link.springer.com/10.1186%2Fgb-2009-10-3-r25
    56 sgo:license sg:explorer/license/
    57 sgo:sdDataset articles
    58 rdf:type schema:ScholarlyArticle
    59 N0ae98af20eb447429961b08910d3a345 rdf:first sg:person.01247375013.30
    60 rdf:rest Nf016d2c8cb3c42e6815419268e376b9f
    61 N16f5ede88d4b486890305e7606c7e54d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    62 schema:name Base Sequence
    63 rdf:type schema:DefinedTerm
    64 N2c167b81635441f1b9bcfefcdf6afd33 schema:name dimensions_id
    65 schema:value pub.1049583368
    66 rdf:type schema:PropertyValue
    67 N4ad63e89761a4593bf32fc23c3c59564 schema:name doi
    68 schema:value 10.1186/gb-2009-10-3-r25
    69 rdf:type schema:PropertyValue
    70 N5aef311489f8443689f964586e4b2895 schema:name readcube_id
    71 schema:value ec33be66b17db4ad0f663886dfa701fcf4856820be72114b55ba871d1943c8d9
    72 rdf:type schema:PropertyValue
    73 N63ba0f29fff5483fbd68408c8005a677 rdf:first sg:person.011763134307.48
    74 rdf:rest N0ae98af20eb447429961b08910d3a345
    75 N68a64762dee04d1e8a1bc3a51b793004 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    76 schema:name Algorithms
    77 rdf:type schema:DefinedTerm
    78 N7510e640c69a43ddb92a16164713f26f schema:name nlm_unique_id
    79 schema:value 100960660
    80 rdf:type schema:PropertyValue
    81 N9825bcea98ba470ba0977cfa682ad6d4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    82 schema:name Genome, Human
    83 rdf:type schema:DefinedTerm
    84 Na80d4472bd02467cae5ecad620f61299 schema:name pubmed_id
    85 schema:value 19261174
    86 rdf:type schema:PropertyValue
    87 Nbe08fe3404b34db898b4e29e20888b84 schema:issueNumber 3
    88 rdf:type schema:PublicationIssue
    89 Nc246c29f6b0e4554b4e7184fcf03790f schema:volumeNumber 10
    90 rdf:type schema:PublicationVolume
    91 Nd027f69971af4df68801df6616331609 schema:name Springer Nature - SN SciGraph project
    92 rdf:type schema:Organization
    93 Nd0ab5ab7bae04600bdb9a9af81e1b4bf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    94 schema:name Sequence Alignment
    95 rdf:type schema:DefinedTerm
    96 Nd2cad46133bf4106b2cebc8161dddd89 rdf:first sg:person.01223441713.02
    97 rdf:rest rdf:nil
    98 Ndb965ac103c14954936c8a80cee0abd9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    99 schema:name Humans
    100 rdf:type schema:DefinedTerm
    101 Nf016d2c8cb3c42e6815419268e376b9f rdf:first sg:person.01347372513.23
    102 rdf:rest Nd2cad46133bf4106b2cebc8161dddd89
    103 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    104 schema:name Biological Sciences
    105 rdf:type schema:DefinedTerm
    106 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    107 schema:name Genetics
    108 rdf:type schema:DefinedTerm
    109 sg:grant.2519905 http://pending.schema.org/fundedItem sg:pub.10.1186/gb-2009-10-3-r25
    110 rdf:type schema:MonetaryGrant
    111 sg:grant.2529352 http://pending.schema.org/fundedItem sg:pub.10.1186/gb-2009-10-3-r25
    112 rdf:type schema:MonetaryGrant
    113 sg:grant.2545461 http://pending.schema.org/fundedItem sg:pub.10.1186/gb-2009-10-3-r25
    114 rdf:type schema:MonetaryGrant
    115 sg:journal.1023439 schema:issn 1465-6906
    116 1474-760X
    117 schema:name Genome Biology
    118 rdf:type schema:Periodical
    119 sg:person.011763134307.48 schema:affiliation https://www.grid.ac/institutes/grid.164295.d
    120 schema:familyName Langmead
    121 schema:givenName Ben
    122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011763134307.48
    123 rdf:type schema:Person
    124 sg:person.01223441713.02 schema:affiliation https://www.grid.ac/institutes/grid.164295.d
    125 schema:familyName Salzberg
    126 schema:givenName Steven L
    127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223441713.02
    128 rdf:type schema:Person
    129 sg:person.01247375013.30 schema:affiliation https://www.grid.ac/institutes/grid.164295.d
    130 schema:familyName Trapnell
    131 schema:givenName Cole
    132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01247375013.30
    133 rdf:type schema:Person
    134 sg:person.01347372513.23 schema:affiliation https://www.grid.ac/institutes/grid.164295.d
    135 schema:familyName Pop
    136 schema:givenName Mihai
    137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01347372513.23
    138 rdf:type schema:Person
    139 sg:pub.10.1038/nature07484 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016969839
    140 https://doi.org/10.1038/nature07484
    141 rdf:type schema:CreativeWork
    142 sg:pub.10.1038/nature07485 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034796960
    143 https://doi.org/10.1038/nature07485
    144 rdf:type schema:CreativeWork
    145 sg:pub.10.1038/nature07517 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052925719
    146 https://doi.org/10.1038/nature07517
    147 rdf:type schema:CreativeWork
    148 sg:pub.10.1038/nbt1414 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030992136
    149 https://doi.org/10.1038/nbt1414
    150 rdf:type schema:CreativeWork
    151 sg:pub.10.1038/ng.128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047246435
    152 https://doi.org/10.1038/ng.128
    153 rdf:type schema:CreativeWork
    154 sg:pub.10.1038/ng.195 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031106868
    155 https://doi.org/10.1038/ng.195
    156 rdf:type schema:CreativeWork
    157 sg:pub.10.1186/1471-2105-9-11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049945398
    158 https://doi.org/10.1186/1471-2105-9-11
    159 rdf:type schema:CreativeWork
    160 sg:pub.10.1186/1471-2105-9-128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029892891
    161 https://doi.org/10.1186/1471-2105-9-128
    162 rdf:type schema:CreativeWork
    163 https://doi.org/10.1016/0020-0190(96)00083-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1010320336
    164 rdf:type schema:CreativeWork
    165 https://doi.org/10.1016/0022-2836(81)90087-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024589839
    166 rdf:type schema:CreativeWork
    167 https://doi.org/10.1016/j.tcs.2007.07.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037014872
    168 rdf:type schema:CreativeWork
    169 https://doi.org/10.1089/cmb.2005.12.407 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059245345
    170 rdf:type schema:CreativeWork
    171 https://doi.org/10.1093/bioinformatics/18.3.440 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006017712
    172 rdf:type schema:CreativeWork
    173 https://doi.org/10.1093/bioinformatics/btm200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032011507
    174 rdf:type schema:CreativeWork
    175 https://doi.org/10.1093/bioinformatics/btn025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012266713
    176 rdf:type schema:CreativeWork
    177 https://doi.org/10.1093/bioinformatics/btn032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032165726
    178 rdf:type schema:CreativeWork
    179 https://doi.org/10.1093/bioinformatics/btn416 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021908406
    180 rdf:type schema:CreativeWork
    181 https://doi.org/10.1101/gr.078212.108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047542880
    182 rdf:type schema:CreativeWork
    183 https://doi.org/10.1101/gr.079558.108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045837493
    184 rdf:type schema:CreativeWork
    185 https://doi.org/10.1101/gr.1350803 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023905199
    186 rdf:type schema:CreativeWork
    187 https://doi.org/10.1101/gr.8.3.186 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038920266
    188 rdf:type schema:CreativeWork
    189 https://doi.org/10.1109/sfcs.2000.892127 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093824115
    190 rdf:type schema:CreativeWork
    191 https://doi.org/10.1126/science.1141319 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018702276
    192 rdf:type schema:CreativeWork
    193 https://doi.org/10.1126/science.1158441 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062457766
    194 rdf:type schema:CreativeWork
    195 https://doi.org/10.1126/science.319.5862.395 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062597291
    196 rdf:type schema:CreativeWork
    197 https://www.grid.ac/institutes/grid.164295.d schema:alternateName University of Maryland, College Park
    198 schema:name Center for Bioinformatics and Computational Biology, Institute for Advanced Computer Studies, University of Maryland, 20742, College Park, MD, USA
    199 rdf:type schema:Organization
     




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


    ...