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Volumn 28, Issue 8, 2012, Pages 1174-1175

Rapid identification of non-human sequences in high-throughput sequencing datasets

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CLASSIFICATION; COMPUTER PROGRAM; DNA SEQUENCE; GENETICS; GENOME; HIGH THROUGHPUT SEQUENCING; HOST PATHOGEN INTERACTION; HUMAN; HUMAN GENOME; ISOLATION AND PURIFICATION; VIRUS;

EID: 84859770226     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/bts100     Document Type: Note
Times cited : (74)

References (10)
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    • PathSeq: software to identify or discover microbes by deep sequencing of human tissue
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    • Kostic, A.D.1
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    • Transcriptome sequencing across a prostate cancer cohort identifies PCAT-1an unannotated lincRNA implicated in disease progression
    • Prensner, J.R. et al. (2011) Transcriptome sequencing across a prostate cancer cohort identifies PCAT-1an unannotated lincRNA implicated in disease progression. Nat. Biotechnol., 29, 742-749.
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    • Prensner, J.R.1
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    • A technique for high-performance data-compression
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.