Analyzing Cancer Samples with SNP Arrays View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2012

AUTHORS

Peter Van Loo , Gro Nilsen , Silje H. Nordgard , Hans Kristian Moen Vollan , Anne-Lise Børresen-Dale , Vessela N. Kristensen , Ole Christian Lingjærde

ABSTRACT

Single nucleotide polymorphism (SNP) arrays are powerful tools to delineate genomic aberrations in cancer genomes. However, the analysis of these SNP array data of cancer samples is complicated by three phenomena: (a) aneuploidy: due to massive aberrations, the total DNA content of a cancer cell can differ significantly from its normal two copies; (b) nonaberrant cell admixture: samples from solid tumors do not exclusively contain aberrant tumor cells, but always contain some portion of nonaberrant cells; (c) intratumor heterogeneity: different cells in the tumor sample may have different aberrations. We describe here how these phenomena impact the SNP array profile, and how these can be accounted for in the analysis. In an extended practical example, we apply our recently developed and further improved ASCAT (allele-specific copy number analysis of tumors) suite of tools to analyze SNP array data using data from a series of breast carcinomas as an example. We first describe the structure of the data, how it can be plotted and interpreted, and how it can be segmented. The core ASCAT algorithm next determines the fraction of nonaberrant cells and the tumor ploidy (the average number of DNA copies), and calculates an ASCAT profile. We describe how these ASCAT profiles visualize both copy number aberrations as well as copy-number-neutral events. Finally, we touch upon regions showing intratumor heterogeneity, and how they can be detected in ASCAT profiles. All source code and data described here can be found at our ASCAT Web site ( http://www.ifi.uio.no/forskning/grupper/bioinf/Projects/ASCAT/). More... »

PAGES

57-72

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-61779-400-1_4

DOI

http://dx.doi.org/10.1007/978-1-61779-400-1_4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1045448538

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22130873


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/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Algorithms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Alleles", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biomarkers, Tumor", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Data Mining", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Internet", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Oligonucleotide Array Sequence Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymorphism, Single Nucleotide", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Wellcome Sanger Institute", 
          "id": "https://www.grid.ac/institutes/grid.10306.34", 
          "name": [
            "Cancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Van Loo", 
        "givenName": "Peter", 
        "id": "sg:person.01017630143.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01017630143.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Biomedical Research Group, Department of Informatics,Centre for Cancer Biomedicine, University of Oslo, Oslo, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nilsen", 
        "givenName": "Gro", 
        "id": "sg:person.01304425603.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01304425603.59"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Oslo University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.55325.34", 
          "name": [
            "Department of Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nordgard", 
        "givenName": "Silje H.", 
        "id": "sg:person.015545441204.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015545441204.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Oslo University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.55325.34", 
          "name": [
            "Department of Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vollan", 
        "givenName": "Hans Kristian Moen", 
        "id": "sg:person.01170302532.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01170302532.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Oslo University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.55325.34", 
          "name": [
            "Department of Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "B\u00f8rresen-Dale", 
        "givenName": "Anne-Lise", 
        "id": "sg:person.01361622203.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361622203.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Oslo University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.55325.34", 
          "name": [
            "Department of Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kristensen", 
        "givenName": "Vessela N.", 
        "id": "sg:person.01215000714.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215000714.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Biomedical Research Group, Department of Informatics,Centre for Cancer Biomedicine, University of Oslo, Oslo, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lingj\u00e6rde", 
        "givenName": "Ole Christian", 
        "id": "sg:person.0707212713.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0707212713.81"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/nar/gkp493", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001103733"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature07943", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004829095", 
          "https://doi.org/10.1038/nature07943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature07943", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004829095", 
          "https://doi.org/10.1038/nature07943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2007-8-10-r228", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006246674", 
          "https://doi.org/10.1186/gb-2007-8-10-r228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1009843107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007646723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btn016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009992788"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2009-10-11-r128", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014476773", 
          "https://doi.org/10.1186/gb-2009-10-11-r128"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.6861907", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016380326"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.5402306", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018459854"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.canlet.2005.12.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025478532"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.075671.107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029201520"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.099622.109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029285723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btl646", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031224678"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034727724", 
          "https://doi.org/10.1038/ng1107"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034727724", 
          "https://doi.org/10.1038/ng1107"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2008-9-9-r136", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041012336", 
          "https://doi.org/10.1186/gb-2008-9-9-r136"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/biostatistics/kxp045", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046814516"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.238", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047420273", 
          "https://doi.org/10.1038/ng.238"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012", 
    "datePublishedReg": "2012-01-01", 
    "description": "Single nucleotide polymorphism (SNP) arrays are powerful tools to delineate genomic aberrations in cancer genomes. However, the analysis of these SNP array data of cancer samples is complicated by three phenomena: (a) aneuploidy: due to massive aberrations, the total DNA content of a cancer cell can differ significantly from its normal two copies; (b) nonaberrant cell admixture: samples from solid tumors do not exclusively contain aberrant tumor cells, but always contain some portion of nonaberrant cells; (c) intratumor heterogeneity: different cells in the tumor sample may have different aberrations. We describe here how these phenomena impact the SNP array profile, and how these can be accounted for in the analysis. In an extended practical example, we apply our recently developed and further improved ASCAT (allele-specific copy number analysis of tumors) suite of tools to analyze SNP array data using data from a series of breast carcinomas as an example. We first describe the structure of the data, how it can be plotted and interpreted, and how it can be segmented. The core ASCAT algorithm next determines the fraction of nonaberrant cells and the tumor ploidy (the average number of DNA copies), and calculates an ASCAT profile. We describe how these ASCAT profiles visualize both copy number aberrations as well as copy-number-neutral events. Finally, we touch upon regions showing intratumor heterogeneity, and how they can be detected in ASCAT profiles. All source code and data described here can be found at our ASCAT Web site ( http://www.ifi.uio.no/forskning/grupper/bioinf/Projects/ASCAT/).", 
    "editor": [
      {
        "familyName": "Wang", 
        "givenName": "Junbai", 
        "type": "Person"
      }, 
      {
        "familyName": "Tan", 
        "givenName": "Aik Choon", 
        "type": "Person"
      }, 
      {
        "familyName": "Tian", 
        "givenName": "Tianhai", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-1-61779-400-1_4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-1-61779-399-8", 
        "978-1-61779-400-1"
      ], 
      "name": "Next Generation Microarray Bioinformatics", 
      "type": "Book"
    }, 
    "name": "Analyzing Cancer Samples with SNP Arrays", 
    "pagination": "57-72", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-1-61779-400-1_4"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d87ddd09659d7246d82bd42333c77bdd1314e4b0a22c5f98af78b489a8c48361"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1045448538"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "22130873"
        ]
      }
    ], 
    "publisher": {
      "location": "Totowa, NJ", 
      "name": "Humana Press", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-1-61779-400-1_4", 
      "https://app.dimensions.ai/details/publication/pub.1045448538"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T15:23", 
    "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_00000271.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-1-61779-400-1_4"
  }
]
 

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.10.1007/978-1-61779-400-1_4'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-1-61779-400-1_4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-1-61779-400-1_4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-1-61779-400-1_4'


 

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

218 TRIPLES      23 PREDICATES      53 URIs      30 LITERALS      18 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-1-61779-400-1_4 schema:about N1ddd432c09a04fe7bcd2d230fcac1c79
2 N2d632fd2f3bf4a9fa7349d91f6a0f247
3 N5760ba6037d9465995e2be93cfe7509e
4 Na526334d76c04c78be9f516bdc139c92
5 Nbe8ca60457aa4000a962c32a898e9801
6 Ne2e069ae095b4b37a96ded2d67c90d4d
7 Ne92c2eb02632473fb1e4b721fbcd878f
8 Nee2a0b9b7cae45818053efd5564f0079
9 Nf0c62b0999a94c68bb9cf5beebb7ea96
10 anzsrc-for:11
11 anzsrc-for:1112
12 schema:author N3577298d20a044fc83c204d57311147f
13 schema:citation sg:pub.10.1038/nature07943
14 sg:pub.10.1038/ng.238
15 sg:pub.10.1038/ng1107
16 sg:pub.10.1186/gb-2007-8-10-r228
17 sg:pub.10.1186/gb-2008-9-9-r136
18 sg:pub.10.1186/gb-2009-10-11-r128
19 https://doi.org/10.1016/j.canlet.2005.12.005
20 https://doi.org/10.1073/pnas.1009843107
21 https://doi.org/10.1093/bioinformatics/btl646
22 https://doi.org/10.1093/bioinformatics/btn016
23 https://doi.org/10.1093/biostatistics/kxp045
24 https://doi.org/10.1093/nar/gkp493
25 https://doi.org/10.1101/gr.075671.107
26 https://doi.org/10.1101/gr.099622.109
27 https://doi.org/10.1101/gr.5402306
28 https://doi.org/10.1101/gr.6861907
29 schema:datePublished 2012
30 schema:datePublishedReg 2012-01-01
31 schema:description Single nucleotide polymorphism (SNP) arrays are powerful tools to delineate genomic aberrations in cancer genomes. However, the analysis of these SNP array data of cancer samples is complicated by three phenomena: (a) aneuploidy: due to massive aberrations, the total DNA content of a cancer cell can differ significantly from its normal two copies; (b) nonaberrant cell admixture: samples from solid tumors do not exclusively contain aberrant tumor cells, but always contain some portion of nonaberrant cells; (c) intratumor heterogeneity: different cells in the tumor sample may have different aberrations. We describe here how these phenomena impact the SNP array profile, and how these can be accounted for in the analysis. In an extended practical example, we apply our recently developed and further improved ASCAT (allele-specific copy number analysis of tumors) suite of tools to analyze SNP array data using data from a series of breast carcinomas as an example. We first describe the structure of the data, how it can be plotted and interpreted, and how it can be segmented. The core ASCAT algorithm next determines the fraction of nonaberrant cells and the tumor ploidy (the average number of DNA copies), and calculates an ASCAT profile. We describe how these ASCAT profiles visualize both copy number aberrations as well as copy-number-neutral events. Finally, we touch upon regions showing intratumor heterogeneity, and how they can be detected in ASCAT profiles. All source code and data described here can be found at our ASCAT Web site ( http://www.ifi.uio.no/forskning/grupper/bioinf/Projects/ASCAT/).
32 schema:editor N4286f20c2086428389a31db337cefccf
33 schema:genre chapter
34 schema:inLanguage en
35 schema:isAccessibleForFree false
36 schema:isPartOf N91c5af8f78a94464aba2d91f86279c9e
37 schema:name Analyzing Cancer Samples with SNP Arrays
38 schema:pagination 57-72
39 schema:productId N0faf60ca3c844d218092e26e05bd7b9c
40 N3e6a6dd3e7494be1a08804008c4f4681
41 N4577a4c72a904bd9adcd018674d32426
42 Ne5e6c9016e16483c8e61d7f81cb5702a
43 schema:publisher N6c1e5bd8b7184722b594c97a1840fa15
44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045448538
45 https://doi.org/10.1007/978-1-61779-400-1_4
46 schema:sdDatePublished 2019-04-15T15:23
47 schema:sdLicense https://scigraph.springernature.com/explorer/license/
48 schema:sdPublisher Ndff42813b1e3484f96ca539254a09a9b
49 schema:url http://link.springer.com/10.1007/978-1-61779-400-1_4
50 sgo:license sg:explorer/license/
51 sgo:sdDataset chapters
52 rdf:type schema:Chapter
53 N01863f83eede42aa9126957b10b80815 schema:familyName Tan
54 schema:givenName Aik Choon
55 rdf:type schema:Person
56 N093a6d185dbe412da19851bafade1bf2 rdf:first sg:person.01361622203.97
57 rdf:rest N8b7245ccc2184d6b927f34e8caed841a
58 N0faf60ca3c844d218092e26e05bd7b9c schema:name readcube_id
59 schema:value d87ddd09659d7246d82bd42333c77bdd1314e4b0a22c5f98af78b489a8c48361
60 rdf:type schema:PropertyValue
61 N1bec6bdf41514bbc9efcb59ce5216bc4 schema:familyName Tian
62 schema:givenName Tianhai
63 rdf:type schema:Person
64 N1c0a76b4cf3a4d8f9707696023e54184 rdf:first sg:person.01170302532.43
65 rdf:rest N093a6d185dbe412da19851bafade1bf2
66 N1ddd432c09a04fe7bcd2d230fcac1c79 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
67 schema:name Biomarkers, Tumor
68 rdf:type schema:DefinedTerm
69 N25ab9d330f8a472985de12f2ef0608bb rdf:first sg:person.0707212713.81
70 rdf:rest rdf:nil
71 N2c121b0a404147faa7d7a6b85f1ccf64 rdf:first sg:person.01304425603.59
72 rdf:rest N9b6d7ac345cf4084b74c03e070840703
73 N2d632fd2f3bf4a9fa7349d91f6a0f247 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Humans
75 rdf:type schema:DefinedTerm
76 N3577298d20a044fc83c204d57311147f rdf:first sg:person.01017630143.46
77 rdf:rest N2c121b0a404147faa7d7a6b85f1ccf64
78 N3e6a6dd3e7494be1a08804008c4f4681 schema:name dimensions_id
79 schema:value pub.1045448538
80 rdf:type schema:PropertyValue
81 N4286f20c2086428389a31db337cefccf rdf:first N8e5e299b76304ddbb48923b47b30fceb
82 rdf:rest N4a1a693a609c4abf9e389cf9369dfa85
83 N4577a4c72a904bd9adcd018674d32426 schema:name doi
84 schema:value 10.1007/978-1-61779-400-1_4
85 rdf:type schema:PropertyValue
86 N4a1a693a609c4abf9e389cf9369dfa85 rdf:first N01863f83eede42aa9126957b10b80815
87 rdf:rest N588051b90db74b44a73300396a73f8db
88 N5760ba6037d9465995e2be93cfe7509e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Neoplasms
90 rdf:type schema:DefinedTerm
91 N588051b90db74b44a73300396a73f8db rdf:first N1bec6bdf41514bbc9efcb59ce5216bc4
92 rdf:rest rdf:nil
93 N6c1e5bd8b7184722b594c97a1840fa15 schema:location Totowa, NJ
94 schema:name Humana Press
95 rdf:type schema:Organisation
96 N70dc8049efba4ec0ab033dc73698ccd2 schema:name Biomedical Research Group, Department of Informatics,Centre for Cancer Biomedicine, University of Oslo, Oslo, Norway
97 rdf:type schema:Organization
98 N8b7245ccc2184d6b927f34e8caed841a rdf:first sg:person.01215000714.10
99 rdf:rest N25ab9d330f8a472985de12f2ef0608bb
100 N8e5e299b76304ddbb48923b47b30fceb schema:familyName Wang
101 schema:givenName Junbai
102 rdf:type schema:Person
103 N91c5af8f78a94464aba2d91f86279c9e schema:isbn 978-1-61779-399-8
104 978-1-61779-400-1
105 schema:name Next Generation Microarray Bioinformatics
106 rdf:type schema:Book
107 N9b6d7ac345cf4084b74c03e070840703 rdf:first sg:person.015545441204.10
108 rdf:rest N1c0a76b4cf3a4d8f9707696023e54184
109 Na526334d76c04c78be9f516bdc139c92 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Alleles
111 rdf:type schema:DefinedTerm
112 Nbe8ca60457aa4000a962c32a898e9801 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Algorithms
114 rdf:type schema:DefinedTerm
115 Ndff42813b1e3484f96ca539254a09a9b schema:name Springer Nature - SN SciGraph project
116 rdf:type schema:Organization
117 Ne2e069ae095b4b37a96ded2d67c90d4d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Data Mining
119 rdf:type schema:DefinedTerm
120 Ne5e6c9016e16483c8e61d7f81cb5702a schema:name pubmed_id
121 schema:value 22130873
122 rdf:type schema:PropertyValue
123 Ne92c2eb02632473fb1e4b721fbcd878f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Polymorphism, Single Nucleotide
125 rdf:type schema:DefinedTerm
126 Nee2a0b9b7cae45818053efd5564f0079 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Oligonucleotide Array Sequence Analysis
128 rdf:type schema:DefinedTerm
129 Nf0c62b0999a94c68bb9cf5beebb7ea96 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Internet
131 rdf:type schema:DefinedTerm
132 Nfaef6959635d4a10a3f483072fa4895d schema:name Biomedical Research Group, Department of Informatics,Centre for Cancer Biomedicine, University of Oslo, Oslo, Norway
133 rdf:type schema:Organization
134 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
135 schema:name Medical and Health Sciences
136 rdf:type schema:DefinedTerm
137 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
138 schema:name Oncology and Carcinogenesis
139 rdf:type schema:DefinedTerm
140 sg:person.01017630143.46 schema:affiliation https://www.grid.ac/institutes/grid.10306.34
141 schema:familyName Van Loo
142 schema:givenName Peter
143 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01017630143.46
144 rdf:type schema:Person
145 sg:person.01170302532.43 schema:affiliation https://www.grid.ac/institutes/grid.55325.34
146 schema:familyName Vollan
147 schema:givenName Hans Kristian Moen
148 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01170302532.43
149 rdf:type schema:Person
150 sg:person.01215000714.10 schema:affiliation https://www.grid.ac/institutes/grid.55325.34
151 schema:familyName Kristensen
152 schema:givenName Vessela N.
153 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215000714.10
154 rdf:type schema:Person
155 sg:person.01304425603.59 schema:affiliation Nfaef6959635d4a10a3f483072fa4895d
156 schema:familyName Nilsen
157 schema:givenName Gro
158 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01304425603.59
159 rdf:type schema:Person
160 sg:person.01361622203.97 schema:affiliation https://www.grid.ac/institutes/grid.55325.34
161 schema:familyName Børresen-Dale
162 schema:givenName Anne-Lise
163 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361622203.97
164 rdf:type schema:Person
165 sg:person.015545441204.10 schema:affiliation https://www.grid.ac/institutes/grid.55325.34
166 schema:familyName Nordgard
167 schema:givenName Silje H.
168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015545441204.10
169 rdf:type schema:Person
170 sg:person.0707212713.81 schema:affiliation N70dc8049efba4ec0ab033dc73698ccd2
171 schema:familyName Lingjærde
172 schema:givenName Ole Christian
173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0707212713.81
174 rdf:type schema:Person
175 sg:pub.10.1038/nature07943 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004829095
176 https://doi.org/10.1038/nature07943
177 rdf:type schema:CreativeWork
178 sg:pub.10.1038/ng.238 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047420273
179 https://doi.org/10.1038/ng.238
180 rdf:type schema:CreativeWork
181 sg:pub.10.1038/ng1107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034727724
182 https://doi.org/10.1038/ng1107
183 rdf:type schema:CreativeWork
184 sg:pub.10.1186/gb-2007-8-10-r228 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006246674
185 https://doi.org/10.1186/gb-2007-8-10-r228
186 rdf:type schema:CreativeWork
187 sg:pub.10.1186/gb-2008-9-9-r136 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041012336
188 https://doi.org/10.1186/gb-2008-9-9-r136
189 rdf:type schema:CreativeWork
190 sg:pub.10.1186/gb-2009-10-11-r128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014476773
191 https://doi.org/10.1186/gb-2009-10-11-r128
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1016/j.canlet.2005.12.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025478532
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1073/pnas.1009843107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007646723
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1093/bioinformatics/btl646 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031224678
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1093/bioinformatics/btn016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009992788
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1093/biostatistics/kxp045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046814516
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1093/nar/gkp493 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001103733
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1101/gr.075671.107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029201520
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1101/gr.099622.109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029285723
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1101/gr.5402306 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018459854
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1101/gr.6861907 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016380326
212 rdf:type schema:CreativeWork
213 https://www.grid.ac/institutes/grid.10306.34 schema:alternateName Wellcome Sanger Institute
214 schema:name Cancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
215 rdf:type schema:Organization
216 https://www.grid.ac/institutes/grid.55325.34 schema:alternateName Oslo University Hospital
217 schema:name Department of Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway
218 rdf:type schema:Organization
 




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


...