Considerations for optimization of high-throughput sequencing bioinformatics pipelines for virus detection

Viruses

Volumn 10, Issue 10, 2018, Pages

  Lambert, Christophe ^a   Braxton, Cassandra ^b   Charlebois, Robert L ^c   Deyati, Avisek ^a   Duncan, Paul ^d   La Neve, Fabio ^e   Malicki, Heather D ^f   Ribrioux, Sebastien ^g   Rozelle, Daniel K ^h   Michaels, Brandye ⁱ   Sun, Wenping ^f   Yang, Zhihui ^j   Khan, Arifa S ^j  

^a GSK   (Belgium)

^b BIOGEN   (United States)

^c Sanofi Pasteur   (Canada)

^d MERCK RESEARCH LABORATORIES   (United States)

^e MERCK KGAA   (Germany)

^f WUXI APPTEC   (China)

^g GENEDATA AG   (Switzerland)

^h Radiant Systems Inc   (United States)

ⁱ PFIZER INC   (United States)

^j CENTER FOR DRUG EVALUATION AND RESEARCH   (United States)

more..

Author keywords

Adventitious virus detection; Bioinformatics pipeline; High throughput sequencing

Indexed keywords

BIOINFORMATICS; DATA ANALYSIS; HIGH THROUGHPUT SEQUENCING; NOTE; PIPELINE; VIRUS DETECTION; BIOLOGY; DATA BASE; GENETICS; ISOLATION AND PURIFICATION; MEASUREMENT ACCURACY; METHODOLOGY; REPRODUCIBILITY; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS; SOFTWARE; VIRUS;

VIRUS DNA; VIRUS RNA;

COMPUTATIONAL BIOLOGY; DATA ACCURACY; DATABASES AS TOPIC; DNA, VIRAL; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; REPRODUCIBILITY OF RESULTS; RESEARCH DESIGN; RNA, VIRAL; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS; SOFTWARE; VIRUSES;

EID: 85054501314     PISSN: None     EISSN: 19994915     Source Type: Journal    
DOI: 10.3390/v10100528     Document Type: Note

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