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| pubmed-article:19835606 | lifeskim:mentions | umls-concept:C0599894 | lld:lifeskim |
| pubmed-article:19835606 | lifeskim:mentions | umls-concept:C1956267 | lld:lifeskim |
| pubmed-article:19835606 | lifeskim:mentions | umls-concept:C0679622 | lld:lifeskim |
| pubmed-article:19835606 | lifeskim:mentions | umls-concept:C1561491 | lld:lifeskim |
| pubmed-article:19835606 | lifeskim:mentions | umls-concept:C2349975 | lld:lifeskim |
| pubmed-article:19835606 | lifeskim:mentions | umls-concept:C0205314 | lld:lifeskim |
| pubmed-article:19835606 | lifeskim:mentions | umls-concept:C1519595 | lld:lifeskim |
| pubmed-article:19835606 | lifeskim:mentions | umls-concept:C1521840 | lld:lifeskim |
| pubmed-article:19835606 | pubmed:issue | 10 | lld:pubmed |
| pubmed-article:19835606 | pubmed:dateCreated | 2009-11-27 | lld:pubmed |
| pubmed-article:19835606 | pubmed:abstractText | Targeted RNA-Seq combines next-generation sequencing with capture of sequences from a relevant subset of a transcriptome. When testing by capturing sequences from a tumor cDNA library by hybridization to oligonucleotide probes specific for 467 cancer-related genes, this method showed high selectivity, improved mutation detection enabling discovery of novel chimeric transcripts, and provided RNA expression data. Thus, targeted RNA-Seq produces an enhanced view of the molecular state of a set of "high interest" genes. | lld:pubmed |
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| pubmed-article:19835606 | pubmed:language | eng | lld:pubmed |
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| pubmed-article:19835606 | pubmed:citationSubset | IM | lld:pubmed |
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| pubmed-article:19835606 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:19835606 | pubmed:issn | 1465-6914 | lld:pubmed |
| pubmed-article:19835606 | pubmed:author | pubmed-author:LevinJoshua... | lld:pubmed |
| pubmed-article:19835606 | pubmed:author | pubmed-author:NusbaumChadC | lld:pubmed |
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| pubmed-article:19835606 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:19835606 | pubmed:volume | 10 | lld:pubmed |
| pubmed-article:19835606 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:19835606 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:19835606 | pubmed:pagination | R115 | lld:pubmed |
| pubmed-article:19835606 | pubmed:dateRevised | 2011-6-30 | lld:pubmed |
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| pubmed-article:19835606 | pubmed:year | 2009 | lld:pubmed |
| pubmed-article:19835606 | pubmed:articleTitle | Targeted next-generation sequencing of a cancer transcriptome enhances detection of sequence variants and novel fusion transcripts. | lld:pubmed |
| pubmed-article:19835606 | pubmed:affiliation | Genome Sequencing and Analysis Program, Broad Institute of MIT and Harvard, 320 Charles Street, Cambridge, MA 02141, USA. jlevin@broadinstitute.org | lld:pubmed |
| pubmed-article:19835606 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:19835606 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
| pubmed-article:19835606 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
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