Structural variation detection using next-generation sequencing data: A comparative technical review

Methods

Volumn 102, Issue , 2016, Pages 36-49

  Guan, Peiyong ^a   Sung, Wing Kin ^a,b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b GENOME INSTITUTE OF SINGAPORE   (Singapore)

Author keywords

Next generation sequencing; Structural variation

Indexed keywords

CONTIG; DNA FRAGMENT; GENOMIC DNA;

CLUSTER ANALYSIS; CONSENSUS SEQUENCE; COPY NUMBER VARIATION; DATA PROCESSING; DNA SEQUENCE; GENE MUTATION; GENE SEQUENCE; GENOME SIZE; INDEL MUTATION; NEXT GENERATION SEQUENCING; PREDICTION; PRIORITY JOURNAL; REVIEW; SIMULATION; STRUCTURAL VARIATION; COMPARATIVE STUDY; GENETIC VARIATION; GENOMICS; HUMAN; INFORMATION PROCESSING; PROCEDURES; SEQUENCE ANALYSIS; SOFTWARE;

DATA CURATION; GENOMIC STRUCTURAL VARIATION; GENOMICS; HUMANS; SEQUENCE ANALYSIS; SOFTWARE;

EID: 84956941887     PISSN: 10462023     EISSN: 10959130     Source Type: Journal    
DOI: 10.1016/j.ymeth.2016.01.020     Document Type: Review

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