Performance evaluation of indel calling tools using real short-read data

Human Genomics

Volumn 9, Issue 1, 2015, Pages

  Hasan, Mohammad Shabbir ^a   Wu, Xiaowei ^b   Zhang, Liqing ^a  

^a Virginia Polytechnic Institute and State University   (United States)

^b VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

Deep sequencing; HaplotypeCaller; Indel calling; Next generation sequencing; Software evaluation; Variant calling

Indexed keywords

ALGORITHM; COMPUTER PROGRAM; DNA SEQUENCE; GENETICS; HIGH THROUGHPUT SEQUENCING; HUMAN; HUMAN GENOME; HUMAN GENOME PROJECT; INDEL MUTATION; PROCEDURES;

ALGORITHMS; GENOME, HUMAN; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMAN GENOME PROJECT; HUMANS; INDEL MUTATION; SEQUENCE ANALYSIS, DNA; SOFTWARE;

EID: 85027949426     PISSN: 14739542     EISSN: 14797364     Source Type: Journal    
DOI: 10.1186/s40246-015-0042-2     Document Type: Review

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