Geoseq: a tool for dissecting deep-sequencing datasets View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-10-12

AUTHORS

James Gurtowski, Anthony Cancio, Hardik Shah, Chaya Levovitz, Ajish George, Robert Homann, Ravi Sachidanandam

ABSTRACT

BackgroundDatasets generated on deep-sequencing platforms have been deposited in various public repositories such as the Gene Expression Omnibus (GEO), Sequence Read Archive (SRA) hosted by the NCBI, or the DNA Data Bank of Japan (ddbj). Despite being rich data sources, they have not been used much due to the difficulty in locating and analyzing datasets of interest.ResultsGeoseq http://geoseq.mssm.edu provides a new method of analyzing short reads from deep sequencing experiments. Instead of mapping the reads to reference genomes or sequences, Geoseq maps a reference sequence against the sequencing data. It is web-based, and holds pre-computed data from public libraries. The analysis reduces the input sequence to tiles and measures the coverage of each tile in a sequence library through the use of suffix arrays. The user can upload custom target sequences or use gene/miRNA names for the search and get back results as plots and spreadsheet files. Geoseq organizes the public sequencing data using a controlled vocabulary, allowing identification of relevant libraries by organism, tissue and type of experiment.ConclusionsAnalysis of small sets of sequences against deep-sequencing datasets, as well as identification of public datasets of interest, is simplified by Geoseq. We applied Geoseq to, a) identify differential isoform expression in mRNA-seq datasets, b) identify miRNAs (microRNAs) in libraries, and identify mature and star sequences in miRNAS and c) to identify potentially mis-annotated miRNAs. The ease of using Geoseq for these analyses suggests its utility and uniqueness as an analysis tool. More... »

PAGES

506

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2105-11-506

DOI

http://dx.doi.org/10.1186/1471-2105-11-506

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1027120878

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/20939882


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/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Base Sequence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Databases, Genetic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Expression Profiling", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Library", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "High-Throughput Nucleotide Sequencing", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "MicroRNAs", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "RNA, Messenger", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sequence Analysis, DNA", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sequence Analysis, RNA", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Software", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, 1425 Madison Avenue, 10029, New York, NY, USA", 
          "id": "http://www.grid.ac/institutes/grid.59734.3c", 
          "name": [
            "Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, 1425 Madison Avenue, 10029, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gurtowski", 
        "givenName": "James", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, 1425 Madison Avenue, 10029, New York, NY, USA", 
          "id": "http://www.grid.ac/institutes/grid.59734.3c", 
          "name": [
            "Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, 1425 Madison Avenue, 10029, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cancio", 
        "givenName": "Anthony", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, 1425 Madison Avenue, 10029, New York, NY, USA", 
          "id": "http://www.grid.ac/institutes/grid.59734.3c", 
          "name": [
            "Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, 1425 Madison Avenue, 10029, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shah", 
        "givenName": "Hardik", 
        "id": "sg:person.0602760766.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602760766.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, 1425 Madison Avenue, 10029, New York, NY, USA", 
          "id": "http://www.grid.ac/institutes/grid.59734.3c", 
          "name": [
            "Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, 1425 Madison Avenue, 10029, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Levovitz", 
        "givenName": "Chaya", 
        "id": "sg:person.01024004604.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024004604.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, 1425 Madison Avenue, 10029, New York, NY, USA", 
          "id": "http://www.grid.ac/institutes/grid.59734.3c", 
          "name": [
            "Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, 1425 Madison Avenue, 10029, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "George", 
        "givenName": "Ajish", 
        "id": "sg:person.01271567734.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271567734.96"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "International NRW Graduate School in Bioinformatics and Genome Research, Center for Biotechnology (CeBiTec), Bielefeld University, 33594 Bielefeld, Germany", 
          "id": "http://www.grid.ac/institutes/grid.7491.b", 
          "name": [
            "International NRW Graduate School in Bioinformatics and Genome Research, Center for Biotechnology (CeBiTec), Bielefeld University, 33594 Bielefeld, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Homann", 
        "givenName": "Robert", 
        "id": "sg:person.0653256630.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0653256630.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, 1425 Madison Avenue, 10029, New York, NY, USA", 
          "id": "http://www.grid.ac/institutes/grid.59734.3c", 
          "name": [
            "Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, 1425 Madison Avenue, 10029, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sachidanandam", 
        "givenName": "Ravi", 
        "id": "sg:person.01075072377.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01075072377.05"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/1471-2105-8-344", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052880252", 
          "https://doi.org/10.1186/1471-2105-8-344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt1486", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005954516", 
          "https://doi.org/10.1038/nbt1486"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-10-421", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050579230", 
          "https://doi.org/10.1186/1471-2105-10-421"
        ], 
        "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"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.1371", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011651858", 
          "https://doi.org/10.1038/nmeth.1371"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-10-12", 
    "datePublishedReg": "2010-10-12", 
    "description": "BackgroundDatasets generated on deep-sequencing platforms have been deposited in various public repositories such as the Gene Expression Omnibus (GEO), Sequence Read Archive (SRA) hosted by the NCBI, or the DNA Data Bank of Japan (ddbj). Despite being rich data sources, they have not been used much due to the difficulty in locating and analyzing datasets of interest.ResultsGeoseq http://geoseq.mssm.edu provides a new method of analyzing short reads from deep sequencing experiments. Instead of mapping the reads to reference genomes or sequences, Geoseq maps a reference sequence against the sequencing data. It is web-based, and holds pre-computed data from public libraries. The analysis reduces the input sequence to tiles and measures the coverage of each tile in a sequence library through the use of suffix arrays. The user can upload custom target sequences or use gene/miRNA names for the search and get back results as plots and spreadsheet files. Geoseq organizes the public sequencing data using a controlled vocabulary, allowing identification of relevant libraries by organism, tissue and type of experiment.ConclusionsAnalysis of small sets of sequences against deep-sequencing datasets, as well as identification of public datasets of interest, is simplified by Geoseq. We applied Geoseq to, a) identify differential isoform expression in mRNA-seq datasets, b) identify miRNAs (microRNAs) in libraries, and identify mature and star sequences in miRNAS and c) to identify potentially mis-annotated miRNAs. The ease of using Geoseq for these analyses suggests its utility and uniqueness as an analysis tool.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/1471-2105-11-506", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1023786", 
        "issn": [
          "1471-2105"
        ], 
        "name": "BMC Bioinformatics", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "11"
      }
    ], 
    "keywords": [
      "deep-sequencing datasets", 
      "Gene Expression Omnibus", 
      "sequencing data", 
      "mRNA-seq datasets", 
      "differential isoform expression", 
      "DNA Data Bank", 
      "public sequencing data", 
      "deep sequencing experiments", 
      "reference genome", 
      "deep sequencing platforms", 
      "sequence libraries", 
      "sequencing experiments", 
      "short reads", 
      "reference sequence", 
      "target sequence", 
      "miRNAs", 
      "miRNA names", 
      "isoform expression", 
      "sequence", 
      "public repositories", 
      "Data Bank", 
      "reads", 
      "genome", 
      "pre-computed data", 
      "library", 
      "Omnibus", 
      "NCBI", 
      "organisms", 
      "identification", 
      "dataset of interest", 
      "EdU", 
      "relevant libraries", 
      "expression", 
      "types of experiments", 
      "small set", 
      "tissue", 
      "analysis", 
      "dataset", 
      "plots", 
      "back results", 
      "analysis tools", 
      "experiments", 
      "rich data source", 
      "tool", 
      "data", 
      "public datasets", 
      "suffix array", 
      "input sequence", 
      "array", 
      "types", 
      "data sources", 
      "interest", 
      "name", 
      "source", 
      "repository", 
      "Japan", 
      "banks", 
      "utility", 
      "public libraries", 
      "results", 
      "set", 
      "platform", 
      "users", 
      "search", 
      "files", 
      "new method", 
      "tiles", 
      "use", 
      "ease", 
      "vocabulary", 
      "coverage", 
      "archives", 
      "method", 
      "uniqueness", 
      "difficulties", 
      "measures", 
      "ConclusionsAnalysis"
    ], 
    "name": "Geoseq: a tool for dissecting deep-sequencing datasets", 
    "pagination": "506", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1027120878"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2105-11-506"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "20939882"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2105-11-506", 
      "https://app.dimensions.ai/details/publication/pub.1027120878"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-10-01T06:36", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/article/article_506.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/1471-2105-11-506"
  }
]
 

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.10.1186/1471-2105-11-506'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2105-11-506'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2105-11-506'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2105-11-506'


 

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

240 TRIPLES      21 PREDICATES      117 URIs      104 LITERALS      17 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2105-11-506 schema:about N20fabf3001394ca2b9a4a301b5ec3820
2 N39226ad978014ac6bc2e732e6356b9c3
3 N3c316cbdc4ed48c1bc7c1736f4e14b49
4 N6b387c73ac6f47a68748e23738344e9d
5 N738be7fc939e4c5d9a24319c270fcfb9
6 N7a774dde493d4827941d3967b8c70791
7 Nbdb32f8dfe8e429384e9c44909cb05cf
8 Nd867a1fc7257464cb558a447a12aed0c
9 Ne37d62e1275848b3bdfcb4942afffdc7
10 Nfa6adc8f182948429af985a4a5820ab9
11 anzsrc-for:06
12 anzsrc-for:0604
13 schema:author N68caed5e43504fce8be1f6fa6a9bde42
14 schema:citation sg:pub.10.1038/nbt1486
15 sg:pub.10.1038/nmeth.1371
16 sg:pub.10.1186/1471-2105-10-421
17 sg:pub.10.1186/1471-2105-8-344
18 sg:pub.10.1186/gb-2009-10-3-r25
19 schema:datePublished 2010-10-12
20 schema:datePublishedReg 2010-10-12
21 schema:description BackgroundDatasets generated on deep-sequencing platforms have been deposited in various public repositories such as the Gene Expression Omnibus (GEO), Sequence Read Archive (SRA) hosted by the NCBI, or the DNA Data Bank of Japan (ddbj). Despite being rich data sources, they have not been used much due to the difficulty in locating and analyzing datasets of interest.ResultsGeoseq http://geoseq.mssm.edu provides a new method of analyzing short reads from deep sequencing experiments. Instead of mapping the reads to reference genomes or sequences, Geoseq maps a reference sequence against the sequencing data. It is web-based, and holds pre-computed data from public libraries. The analysis reduces the input sequence to tiles and measures the coverage of each tile in a sequence library through the use of suffix arrays. The user can upload custom target sequences or use gene/miRNA names for the search and get back results as plots and spreadsheet files. Geoseq organizes the public sequencing data using a controlled vocabulary, allowing identification of relevant libraries by organism, tissue and type of experiment.ConclusionsAnalysis of small sets of sequences against deep-sequencing datasets, as well as identification of public datasets of interest, is simplified by Geoseq. We applied Geoseq to, a) identify differential isoform expression in mRNA-seq datasets, b) identify miRNAs (microRNAs) in libraries, and identify mature and star sequences in miRNAS and c) to identify potentially mis-annotated miRNAs. The ease of using Geoseq for these analyses suggests its utility and uniqueness as an analysis tool.
22 schema:genre article
23 schema:isAccessibleForFree true
24 schema:isPartOf N3bd4a7ea83a74e209e7cf41a3635bf05
25 N9814bd39306147889f8d6fce908d2a9b
26 sg:journal.1023786
27 schema:keywords ConclusionsAnalysis
28 DNA Data Bank
29 Data Bank
30 EdU
31 Gene Expression Omnibus
32 Japan
33 NCBI
34 Omnibus
35 analysis
36 analysis tools
37 archives
38 array
39 back results
40 banks
41 coverage
42 data
43 data sources
44 dataset
45 dataset of interest
46 deep sequencing experiments
47 deep sequencing platforms
48 deep-sequencing datasets
49 differential isoform expression
50 difficulties
51 ease
52 experiments
53 expression
54 files
55 genome
56 identification
57 input sequence
58 interest
59 isoform expression
60 library
61 mRNA-seq datasets
62 measures
63 method
64 miRNA names
65 miRNAs
66 name
67 new method
68 organisms
69 platform
70 plots
71 pre-computed data
72 public datasets
73 public libraries
74 public repositories
75 public sequencing data
76 reads
77 reference genome
78 reference sequence
79 relevant libraries
80 repository
81 results
82 rich data source
83 search
84 sequence
85 sequence libraries
86 sequencing data
87 sequencing experiments
88 set
89 short reads
90 small set
91 source
92 suffix array
93 target sequence
94 tiles
95 tissue
96 tool
97 types
98 types of experiments
99 uniqueness
100 use
101 users
102 utility
103 vocabulary
104 schema:name Geoseq: a tool for dissecting deep-sequencing datasets
105 schema:pagination 506
106 schema:productId N4ad0a740ae784c84abbd61dfdacac862
107 N5732fdb61824402cae647eb4f67308fa
108 Nd8156b4de4d345b1832706dd0bf3616a
109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027120878
110 https://doi.org/10.1186/1471-2105-11-506
111 schema:sdDatePublished 2022-10-01T06:36
112 schema:sdLicense https://scigraph.springernature.com/explorer/license/
113 schema:sdPublisher N99f77080db4b489990e6b99e9a0a2521
114 schema:url https://doi.org/10.1186/1471-2105-11-506
115 sgo:license sg:explorer/license/
116 sgo:sdDataset articles
117 rdf:type schema:ScholarlyArticle
118 N0146692d923e4690a23606d02f51c0fd rdf:first sg:person.0602760766.76
119 rdf:rest N448c8bc62e014389b413bcdb82a07421
120 N14e764727ad3441f973449b00ac9046d schema:affiliation grid-institutes:grid.59734.3c
121 schema:familyName Gurtowski
122 schema:givenName James
123 rdf:type schema:Person
124 N20fabf3001394ca2b9a4a301b5ec3820 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name RNA, Messenger
126 rdf:type schema:DefinedTerm
127 N2b5af5a9f149458ea6a95240b8a24fed rdf:first sg:person.01075072377.05
128 rdf:rest rdf:nil
129 N30782cce09964db5a228f8eb6fd37e29 rdf:first sg:person.0653256630.32
130 rdf:rest N2b5af5a9f149458ea6a95240b8a24fed
131 N39226ad978014ac6bc2e732e6356b9c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Gene Library
133 rdf:type schema:DefinedTerm
134 N3bd4a7ea83a74e209e7cf41a3635bf05 schema:volumeNumber 11
135 rdf:type schema:PublicationVolume
136 N3c316cbdc4ed48c1bc7c1736f4e14b49 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Sequence Analysis, RNA
138 rdf:type schema:DefinedTerm
139 N448c8bc62e014389b413bcdb82a07421 rdf:first sg:person.01024004604.05
140 rdf:rest N81bcf28f7be540fba147631b4a824c4b
141 N4ad0a740ae784c84abbd61dfdacac862 schema:name pubmed_id
142 schema:value 20939882
143 rdf:type schema:PropertyValue
144 N5732fdb61824402cae647eb4f67308fa schema:name dimensions_id
145 schema:value pub.1027120878
146 rdf:type schema:PropertyValue
147 N5aa126fdc79e4ec8b5b6e09af5806888 rdf:first Nc2f61fcd1f7a412aa1bd0f2158ae1962
148 rdf:rest N0146692d923e4690a23606d02f51c0fd
149 N68caed5e43504fce8be1f6fa6a9bde42 rdf:first N14e764727ad3441f973449b00ac9046d
150 rdf:rest N5aa126fdc79e4ec8b5b6e09af5806888
151 N6b387c73ac6f47a68748e23738344e9d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Databases, Genetic
153 rdf:type schema:DefinedTerm
154 N738be7fc939e4c5d9a24319c270fcfb9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Base Sequence
156 rdf:type schema:DefinedTerm
157 N7a774dde493d4827941d3967b8c70791 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Gene Expression Profiling
159 rdf:type schema:DefinedTerm
160 N81bcf28f7be540fba147631b4a824c4b rdf:first sg:person.01271567734.96
161 rdf:rest N30782cce09964db5a228f8eb6fd37e29
162 N9814bd39306147889f8d6fce908d2a9b schema:issueNumber 1
163 rdf:type schema:PublicationIssue
164 N99f77080db4b489990e6b99e9a0a2521 schema:name Springer Nature - SN SciGraph project
165 rdf:type schema:Organization
166 Nbdb32f8dfe8e429384e9c44909cb05cf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Sequence Analysis, DNA
168 rdf:type schema:DefinedTerm
169 Nc2f61fcd1f7a412aa1bd0f2158ae1962 schema:affiliation grid-institutes:grid.59734.3c
170 schema:familyName Cancio
171 schema:givenName Anthony
172 rdf:type schema:Person
173 Nd8156b4de4d345b1832706dd0bf3616a schema:name doi
174 schema:value 10.1186/1471-2105-11-506
175 rdf:type schema:PropertyValue
176 Nd867a1fc7257464cb558a447a12aed0c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
177 schema:name Software
178 rdf:type schema:DefinedTerm
179 Ne37d62e1275848b3bdfcb4942afffdc7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
180 schema:name High-Throughput Nucleotide Sequencing
181 rdf:type schema:DefinedTerm
182 Nfa6adc8f182948429af985a4a5820ab9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
183 schema:name MicroRNAs
184 rdf:type schema:DefinedTerm
185 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
186 schema:name Biological Sciences
187 rdf:type schema:DefinedTerm
188 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
189 schema:name Genetics
190 rdf:type schema:DefinedTerm
191 sg:journal.1023786 schema:issn 1471-2105
192 schema:name BMC Bioinformatics
193 schema:publisher Springer Nature
194 rdf:type schema:Periodical
195 sg:person.01024004604.05 schema:affiliation grid-institutes:grid.59734.3c
196 schema:familyName Levovitz
197 schema:givenName Chaya
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024004604.05
199 rdf:type schema:Person
200 sg:person.01075072377.05 schema:affiliation grid-institutes:grid.59734.3c
201 schema:familyName Sachidanandam
202 schema:givenName Ravi
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01075072377.05
204 rdf:type schema:Person
205 sg:person.01271567734.96 schema:affiliation grid-institutes:grid.59734.3c
206 schema:familyName George
207 schema:givenName Ajish
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271567734.96
209 rdf:type schema:Person
210 sg:person.0602760766.76 schema:affiliation grid-institutes:grid.59734.3c
211 schema:familyName Shah
212 schema:givenName Hardik
213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602760766.76
214 rdf:type schema:Person
215 sg:person.0653256630.32 schema:affiliation grid-institutes:grid.7491.b
216 schema:familyName Homann
217 schema:givenName Robert
218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0653256630.32
219 rdf:type schema:Person
220 sg:pub.10.1038/nbt1486 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005954516
221 https://doi.org/10.1038/nbt1486
222 rdf:type schema:CreativeWork
223 sg:pub.10.1038/nmeth.1371 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011651858
224 https://doi.org/10.1038/nmeth.1371
225 rdf:type schema:CreativeWork
226 sg:pub.10.1186/1471-2105-10-421 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050579230
227 https://doi.org/10.1186/1471-2105-10-421
228 rdf:type schema:CreativeWork
229 sg:pub.10.1186/1471-2105-8-344 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052880252
230 https://doi.org/10.1186/1471-2105-8-344
231 rdf:type schema:CreativeWork
232 sg:pub.10.1186/gb-2009-10-3-r25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049583368
233 https://doi.org/10.1186/gb-2009-10-3-r25
234 rdf:type schema:CreativeWork
235 grid-institutes:grid.59734.3c schema:alternateName Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, 1425 Madison Avenue, 10029, New York, NY, USA
236 schema:name Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, 1425 Madison Avenue, 10029, New York, NY, USA
237 rdf:type schema:Organization
238 grid-institutes:grid.7491.b schema:alternateName International NRW Graduate School in Bioinformatics and Genome Research, Center for Biotechnology (CeBiTec), Bielefeld University, 33594 Bielefeld, Germany
239 schema:name International NRW Graduate School in Bioinformatics and Genome Research, Center for Biotechnology (CeBiTec), Bielefeld University, 33594 Bielefeld, Germany
240 rdf:type schema:Organization
 




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


...