Assessing the impact of assemblers on virus detection in a de novo metagenomic analysis pipeline

Journal of Computational Biology

Volumn 24, Issue 9, 2017, Pages 874-881

  White, Daniel J ^a   Wang, Jing ^b   Hall, Richard J ^c  

^a LANDCARE RESEARCH   (New Zealand)

^b INSTITUTE OF ENVIRONMENTAL SCIENCE AND RESEARCH   (New Zealand)

^c Ministry for Primary Industries   (New Zealand)

Author keywords

algorithms; assemblers; de novo metagenomic; spathogen discovery; test

Indexed keywords

ANIMAL; COMPARATIVE STUDY; CONTIG MAPPING; HIGH THROUGHPUT SEQUENCING; METAGENOME; PROCEDURES; RATITE; SOFTWARE; STANDARDS; VIROLOGY; VIRUS GENOME; VIRUS INFECTION;

ANIMALS; CONTIG MAPPING; GENOME, VIRAL; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; METAGENOME; PALAEOGNATHAE; SOFTWARE; VIRUS DISEASES;

EID: 85029376250     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/cmb.2017.0008     Document Type: Article

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