Review of current methods, Applications, And data management for the bioinformatics analysis of whole exome sequencing

Cancer Informatics

Volumn 13, Issue , 2014, Pages 67-82

  Bao, Riyue ^a   Huang, Lei ^a   Andrade, Jorge ^a   Tan, Wei ^b   Kibbe, Warren A ^c   Jiang, Hongmei ^c   Feng, Gang ^c  

^a UNIVERSITY OF CHICAGO   (United States)

^b IBM T J WATSON RESEARCH CENTER   (United States)

^c NORTHWESTERN UNIVERSITY   (United States)

Author keywords

Big data; InDel; Next generation sequencing; Sequence alignment; SNV; Variant analysis; Whole exome sequencing

Indexed keywords

BIOINFORMATICS; CANCER RESEARCH; CONCEPTUAL FRAMEWORK; COST CONTROL; DATA ANALYSIS; DATA ANALYSIS SOFTWARE; DNA SEQUENCE; EXOME; FALSE POSITIVE RESULT; GENE MAPPING; GENE SEQUENCE; GENETIC VARIABILITY; HIGH THROUGHPUT SEQUENCING; HUMAN; HUMAN GENOME; INDEL MUTATION; INFORMATION PROCESSING; INFORMATION STORAGE; MEASUREMENT ACCURACY; NEXT GENERATION SEQUENCING TECHNOLOGY; QUALITY CONTROL; RESEARCH PRIORITY; REVIEW; RNA SEQUENCE; SENSITIVITY AND SPECIFICITY; SEQUENCE ALIGNMENT; SEQUENCE DATABASE; SIMULATION;

EID: 84907500717     PISSN: None     EISSN: 11769351     Source Type: Journal    
DOI: 10.4137/CIN.S13779     Document Type: Review

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