DNAp: A Pipeline for DNA-seq Data Analysis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Jason L. Causey, Cody Ashby, Karl Walker, Zhiping Paul Wang, Mary Yang, Yuanfang Guan, Jason H. Moore, Xiuzhen Huang

ABSTRACT

Next-generation sequencing is empowering genetic disease research. However, it also brings significant challenges for efficient and effective sequencing data analysis. We built a pipeline, called DNAp, for analyzing whole exome sequencing (WES) and whole genome sequencing (WGS) data, to detect mutations from disease samples. The pipeline is containerized, convenient to use and can run under any system, since it is a fully automatic process in Docker container form. It is also open, and can be easily customized with user intervention points, such as for updating reference files and different software or versions. The pipeline has been tested with both human and mouse sequencing datasets, and it has generated mutations results, comparable to published results from these datasets, and reproducible across heterogeneous hardware platforms. The pipeline DNAp, funded by the US Food and Drug Administration (FDA), was developed for analyzing DNA sequencing data of FDA. Here we make DNAp an open source, with the software and documentation available to the public at http://bioinformatics.astate.edu/dna-pipeline/ . More... »

PAGES

6793

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-25022-6

DOI

http://dx.doi.org/10.1038/s41598-018-25022-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1103641030

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29717215


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Arkansas State University", 
          "id": "https://www.grid.ac/institutes/grid.252381.f", 
          "name": [
            "Department of Computer Science, Arkansas State University, 72467, Jonesboro, Arkansas, United States of America"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Causey", 
        "givenName": "Jason L.", 
        "id": "sg:person.013116443415.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013116443415.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Arkansas for Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.241054.6", 
          "name": [
            "Department of Biomedical Informatics and the Myeloma Institute, University of Arkansas for Medical Sciences, 72205, Little Rock, Arkansas, United States of America"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ashby", 
        "givenName": "Cody", 
        "id": "sg:person.0671413532.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0671413532.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Arkansas at Pine Bluff", 
          "id": "https://www.grid.ac/institutes/grid.265963.d", 
          "name": [
            "Department of Mathematics and Computer Science, University of Arkansas at Pine Bluff, 55455, Pine Bluff, Arkansas, United States of America"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Walker", 
        "givenName": "Karl", 
        "id": "sg:person.0737460554.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0737460554.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Pennsylvania", 
          "id": "https://www.grid.ac/institutes/grid.25879.31", 
          "name": [
            "Institute for Biomedical Informatics, University of Pennsylvania, 19104, Philadelphia, Pennsylvania, United States of America"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Zhiping Paul", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Arkansas at Little Rock", 
          "id": "https://www.grid.ac/institutes/grid.265960.e", 
          "name": [
            "Department of Information Science, University of Arkansas at Little Rock, 72204, Little Rock, Arkansas, United States of America"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yang", 
        "givenName": "Mary", 
        "id": "sg:person.01276145147.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01276145147.59"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Michigan\u2013Ann Arbor", 
          "id": "https://www.grid.ac/institutes/grid.214458.e", 
          "name": [
            "Department of Computational Medicine & Bioinformatics, University of Michigan, 48109, Ann Arbor, Michigan, United States of America"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guan", 
        "givenName": "Yuanfang", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Pennsylvania", 
          "id": "https://www.grid.ac/institutes/grid.25879.31", 
          "name": [
            "Institute for Biomedical Informatics, University of Pennsylvania, 19104, Philadelphia, Pennsylvania, United States of America"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Moore", 
        "givenName": "Jason H.", 
        "id": "sg:person.07517464062.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07517464062.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Arkansas State University", 
          "id": "https://www.grid.ac/institutes/grid.252381.f", 
          "name": [
            "Department of Computer Science, Arkansas State University, 72467, Jonesboro, Arkansas, United States of America"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Huang", 
        "givenName": "Xiuzhen", 
        "id": "sg:person.0751133357.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751133357.06"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nbt.2514", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000477771", 
          "https://doi.org/10.1038/nbt.2514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0151664", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000761030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0151664", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000761030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0135800", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004374894"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/humu.22771", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008628126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bts503", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011240484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.4086505", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011879039"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0064271", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014812288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sdata.2016.10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019588140", 
          "https://doi.org/10.1038/sdata.2016.10"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep17875", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019760953", 
          "https://doi.org/10.1038/srep17875"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkq603", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020792304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bts167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021072457"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btp352", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023014918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2012.08.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027243747"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2012.08.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027243747"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/0471142727.mb1910s89", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029131223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/0471142727.mb1910s89", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029131223"
        ], 
        "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/10.1145/2723872.2723882", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033703961"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/0471250953.bi1110s43", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036411997"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bts271", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036846543"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms7275", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041805093", 
          "https://doi.org/10.1038/ncomms7275"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1479-7364-8-14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044518409", 
          "https://doi.org/10.1186/1479-7364-8-14"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nm.3878", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045622343", 
          "https://doi.org/10.1038/nm.3878"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms10001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045775183", 
          "https://doi.org/10.1038/ncomms10001"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2010-11-8-r86", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046347776", 
          "https://doi.org/10.1186/gb-2010-11-8-r86"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/fly.19695", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046734556"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "Next-generation sequencing is empowering genetic disease research. However, it also brings significant challenges for efficient and effective sequencing data analysis. We built a pipeline, called DNAp, for analyzing whole exome sequencing (WES) and whole genome sequencing (WGS) data, to detect mutations from disease samples. The pipeline is containerized, convenient to use and can run under any system, since it is a fully automatic process in Docker container form. It is also open, and can be easily customized with user intervention points, such as for updating reference files and different software or versions. The pipeline has been tested with both human and mouse sequencing datasets, and it has generated mutations results, comparable to published results from these datasets, and reproducible across heterogeneous hardware platforms. The pipeline DNAp, funded by the US Food and Drug Administration (FDA), was developed for analyzing DNA sequencing data of FDA. Here we make DNAp an open source, with the software and documentation available to the public at http://bioinformatics.astate.edu/dna-pipeline/ .", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-018-25022-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.3851735", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2439110", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6937801", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.7029114", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2437881", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.4104113", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.4312885", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "8"
      }
    ], 
    "name": "DNAp: A Pipeline for DNA-seq Data Analysis", 
    "pagination": "6793", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "f7077decca4ab876eb16d4311b14565a0ccfc411dfd40e65fb84b5ffacc8cceb"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29717215"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-018-25022-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1103641030"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-018-25022-6", 
      "https://app.dimensions.ai/details/publication/pub.1103641030"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T17:39", 
    "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_00000555.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-018-25022-6"
  }
]
 

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/s41598-018-25022-6'

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/s41598-018-25022-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-25022-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-25022-6'


 

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

224 TRIPLES      21 PREDICATES      53 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-018-25022-6 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author Nc7e07f465962425fb2019ab3a5e36ffa
4 schema:citation sg:pub.10.1038/nbt.2514
5 sg:pub.10.1038/ncomms10001
6 sg:pub.10.1038/ncomms7275
7 sg:pub.10.1038/nm.3878
8 sg:pub.10.1038/sdata.2016.10
9 sg:pub.10.1038/srep17875
10 sg:pub.10.1186/1479-7364-8-14
11 sg:pub.10.1186/gb-2010-11-8-r86
12 https://doi.org/10.1002/0471142727.mb1910s89
13 https://doi.org/10.1002/0471250953.bi1110s43
14 https://doi.org/10.1002/humu.22771
15 https://doi.org/10.1016/j.cell.2012.08.029
16 https://doi.org/10.1093/bioinformatics/btp352
17 https://doi.org/10.1093/bioinformatics/bts167
18 https://doi.org/10.1093/bioinformatics/bts271
19 https://doi.org/10.1093/bioinformatics/bts503
20 https://doi.org/10.1093/nar/gkq603
21 https://doi.org/10.1101/gr.107524.110
22 https://doi.org/10.1101/gr.4086505
23 https://doi.org/10.1145/2723872.2723882
24 https://doi.org/10.1371/journal.pone.0064271
25 https://doi.org/10.1371/journal.pone.0135800
26 https://doi.org/10.1371/journal.pone.0151664
27 https://doi.org/10.4161/fly.19695
28 schema:datePublished 2018-12
29 schema:datePublishedReg 2018-12-01
30 schema:description Next-generation sequencing is empowering genetic disease research. However, it also brings significant challenges for efficient and effective sequencing data analysis. We built a pipeline, called DNAp, for analyzing whole exome sequencing (WES) and whole genome sequencing (WGS) data, to detect mutations from disease samples. The pipeline is containerized, convenient to use and can run under any system, since it is a fully automatic process in Docker container form. It is also open, and can be easily customized with user intervention points, such as for updating reference files and different software or versions. The pipeline has been tested with both human and mouse sequencing datasets, and it has generated mutations results, comparable to published results from these datasets, and reproducible across heterogeneous hardware platforms. The pipeline DNAp, funded by the US Food and Drug Administration (FDA), was developed for analyzing DNA sequencing data of FDA. Here we make DNAp an open source, with the software and documentation available to the public at http://bioinformatics.astate.edu/dna-pipeline/ .
31 schema:genre research_article
32 schema:inLanguage en
33 schema:isAccessibleForFree true
34 schema:isPartOf N1f9323ae645f4df3993c78595a912cb4
35 Nd607909026424f0db4f0035a6413a078
36 sg:journal.1045337
37 schema:name DNAp: A Pipeline for DNA-seq Data Analysis
38 schema:pagination 6793
39 schema:productId N05d553b9de9445c7aeb0805e82ca334a
40 N135996fcfcfa4ebdbeff26f38a65cfa1
41 Na3d0aff8b9324aa39ba10208b2cc0438
42 Nc6a7bf646f1e40be95ff6e1684047c7e
43 Ne8a3f83e921f40e09f25709f6a60bff7
44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103641030
45 https://doi.org/10.1038/s41598-018-25022-6
46 schema:sdDatePublished 2019-04-10T17:39
47 schema:sdLicense https://scigraph.springernature.com/explorer/license/
48 schema:sdPublisher N6c7ac72d7ce340d3b8342923bc48d889
49 schema:url https://www.nature.com/articles/s41598-018-25022-6
50 sgo:license sg:explorer/license/
51 sgo:sdDataset articles
52 rdf:type schema:ScholarlyArticle
53 N05d553b9de9445c7aeb0805e82ca334a schema:name nlm_unique_id
54 schema:value 101563288
55 rdf:type schema:PropertyValue
56 N11494416121b45bfa8287e0169fdfbdd schema:affiliation https://www.grid.ac/institutes/grid.214458.e
57 schema:familyName Guan
58 schema:givenName Yuanfang
59 rdf:type schema:Person
60 N135996fcfcfa4ebdbeff26f38a65cfa1 schema:name dimensions_id
61 schema:value pub.1103641030
62 rdf:type schema:PropertyValue
63 N1f9323ae645f4df3993c78595a912cb4 schema:issueNumber 1
64 rdf:type schema:PublicationIssue
65 N3ce9aedb54c641af94a7a7319323247d rdf:first sg:person.0671413532.43
66 rdf:rest Nc2ce0dd185ab46e7a0be221beb5c213a
67 N5eb73b957a69414db1dc895149b59e17 rdf:first Ne27c116ab17e462fb3f57f04afd587d8
68 rdf:rest Nf54fad2b3a984f969d80fe20cab27ccf
69 N6c7ac72d7ce340d3b8342923bc48d889 schema:name Springer Nature - SN SciGraph project
70 rdf:type schema:Organization
71 N9b60d2d9a9374214aaf74c6e5f1e114a rdf:first N11494416121b45bfa8287e0169fdfbdd
72 rdf:rest Nfdeec5fb2de94364848214f20abc4975
73 Na3d0aff8b9324aa39ba10208b2cc0438 schema:name doi
74 schema:value 10.1038/s41598-018-25022-6
75 rdf:type schema:PropertyValue
76 Nb0418b5cd69045889ca2f844983d4047 rdf:first sg:person.0751133357.06
77 rdf:rest rdf:nil
78 Nc2ce0dd185ab46e7a0be221beb5c213a rdf:first sg:person.0737460554.80
79 rdf:rest N5eb73b957a69414db1dc895149b59e17
80 Nc6a7bf646f1e40be95ff6e1684047c7e schema:name pubmed_id
81 schema:value 29717215
82 rdf:type schema:PropertyValue
83 Nc7e07f465962425fb2019ab3a5e36ffa rdf:first sg:person.013116443415.38
84 rdf:rest N3ce9aedb54c641af94a7a7319323247d
85 Nd607909026424f0db4f0035a6413a078 schema:volumeNumber 8
86 rdf:type schema:PublicationVolume
87 Ne27c116ab17e462fb3f57f04afd587d8 schema:affiliation https://www.grid.ac/institutes/grid.25879.31
88 schema:familyName Wang
89 schema:givenName Zhiping Paul
90 rdf:type schema:Person
91 Ne8a3f83e921f40e09f25709f6a60bff7 schema:name readcube_id
92 schema:value f7077decca4ab876eb16d4311b14565a0ccfc411dfd40e65fb84b5ffacc8cceb
93 rdf:type schema:PropertyValue
94 Nf54fad2b3a984f969d80fe20cab27ccf rdf:first sg:person.01276145147.59
95 rdf:rest N9b60d2d9a9374214aaf74c6e5f1e114a
96 Nfdeec5fb2de94364848214f20abc4975 rdf:first sg:person.07517464062.70
97 rdf:rest Nb0418b5cd69045889ca2f844983d4047
98 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
99 schema:name Biological Sciences
100 rdf:type schema:DefinedTerm
101 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
102 schema:name Genetics
103 rdf:type schema:DefinedTerm
104 sg:grant.2437881 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-018-25022-6
105 rdf:type schema:MonetaryGrant
106 sg:grant.2439110 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-018-25022-6
107 rdf:type schema:MonetaryGrant
108 sg:grant.3851735 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-018-25022-6
109 rdf:type schema:MonetaryGrant
110 sg:grant.4104113 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-018-25022-6
111 rdf:type schema:MonetaryGrant
112 sg:grant.4312885 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-018-25022-6
113 rdf:type schema:MonetaryGrant
114 sg:grant.6937801 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-018-25022-6
115 rdf:type schema:MonetaryGrant
116 sg:grant.7029114 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-018-25022-6
117 rdf:type schema:MonetaryGrant
118 sg:journal.1045337 schema:issn 2045-2322
119 schema:name Scientific Reports
120 rdf:type schema:Periodical
121 sg:person.01276145147.59 schema:affiliation https://www.grid.ac/institutes/grid.265960.e
122 schema:familyName Yang
123 schema:givenName Mary
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01276145147.59
125 rdf:type schema:Person
126 sg:person.013116443415.38 schema:affiliation https://www.grid.ac/institutes/grid.252381.f
127 schema:familyName Causey
128 schema:givenName Jason L.
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013116443415.38
130 rdf:type schema:Person
131 sg:person.0671413532.43 schema:affiliation https://www.grid.ac/institutes/grid.241054.6
132 schema:familyName Ashby
133 schema:givenName Cody
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0671413532.43
135 rdf:type schema:Person
136 sg:person.0737460554.80 schema:affiliation https://www.grid.ac/institutes/grid.265963.d
137 schema:familyName Walker
138 schema:givenName Karl
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0737460554.80
140 rdf:type schema:Person
141 sg:person.0751133357.06 schema:affiliation https://www.grid.ac/institutes/grid.252381.f
142 schema:familyName Huang
143 schema:givenName Xiuzhen
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751133357.06
145 rdf:type schema:Person
146 sg:person.07517464062.70 schema:affiliation https://www.grid.ac/institutes/grid.25879.31
147 schema:familyName Moore
148 schema:givenName Jason H.
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07517464062.70
150 rdf:type schema:Person
151 sg:pub.10.1038/nbt.2514 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000477771
152 https://doi.org/10.1038/nbt.2514
153 rdf:type schema:CreativeWork
154 sg:pub.10.1038/ncomms10001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045775183
155 https://doi.org/10.1038/ncomms10001
156 rdf:type schema:CreativeWork
157 sg:pub.10.1038/ncomms7275 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041805093
158 https://doi.org/10.1038/ncomms7275
159 rdf:type schema:CreativeWork
160 sg:pub.10.1038/nm.3878 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045622343
161 https://doi.org/10.1038/nm.3878
162 rdf:type schema:CreativeWork
163 sg:pub.10.1038/sdata.2016.10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019588140
164 https://doi.org/10.1038/sdata.2016.10
165 rdf:type schema:CreativeWork
166 sg:pub.10.1038/srep17875 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019760953
167 https://doi.org/10.1038/srep17875
168 rdf:type schema:CreativeWork
169 sg:pub.10.1186/1479-7364-8-14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044518409
170 https://doi.org/10.1186/1479-7364-8-14
171 rdf:type schema:CreativeWork
172 sg:pub.10.1186/gb-2010-11-8-r86 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046347776
173 https://doi.org/10.1186/gb-2010-11-8-r86
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1002/0471142727.mb1910s89 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029131223
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1002/0471250953.bi1110s43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036411997
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1002/humu.22771 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008628126
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1016/j.cell.2012.08.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027243747
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1093/bioinformatics/btp352 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023014918
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1093/bioinformatics/bts167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021072457
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1093/bioinformatics/bts271 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036846543
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1093/bioinformatics/bts503 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011240484
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1093/nar/gkq603 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020792304
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1101/gr.107524.110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032096953
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1101/gr.4086505 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011879039
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1145/2723872.2723882 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033703961
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1371/journal.pone.0064271 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014812288
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1371/journal.pone.0135800 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004374894
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1371/journal.pone.0151664 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000761030
204 rdf:type schema:CreativeWork
205 https://doi.org/10.4161/fly.19695 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046734556
206 rdf:type schema:CreativeWork
207 https://www.grid.ac/institutes/grid.214458.e schema:alternateName University of Michigan–Ann Arbor
208 schema:name Department of Computational Medicine & Bioinformatics, University of Michigan, 48109, Ann Arbor, Michigan, United States of America
209 rdf:type schema:Organization
210 https://www.grid.ac/institutes/grid.241054.6 schema:alternateName University of Arkansas for Medical Sciences
211 schema:name Department of Biomedical Informatics and the Myeloma Institute, University of Arkansas for Medical Sciences, 72205, Little Rock, Arkansas, United States of America
212 rdf:type schema:Organization
213 https://www.grid.ac/institutes/grid.252381.f schema:alternateName Arkansas State University
214 schema:name Department of Computer Science, Arkansas State University, 72467, Jonesboro, Arkansas, United States of America
215 rdf:type schema:Organization
216 https://www.grid.ac/institutes/grid.25879.31 schema:alternateName University of Pennsylvania
217 schema:name Institute for Biomedical Informatics, University of Pennsylvania, 19104, Philadelphia, Pennsylvania, United States of America
218 rdf:type schema:Organization
219 https://www.grid.ac/institutes/grid.265960.e schema:alternateName University of Arkansas at Little Rock
220 schema:name Department of Information Science, University of Arkansas at Little Rock, 72204, Little Rock, Arkansas, United States of America
221 rdf:type schema:Organization
222 https://www.grid.ac/institutes/grid.265963.d schema:alternateName University of Arkansas at Pine Bluff
223 schema:name Department of Mathematics and Computer Science, University of Arkansas at Pine Bluff, 55455, Pine Bluff, Arkansas, United States of America
224 rdf:type schema:Organization
 




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


...