A survey of copy-number variation detection tools based on high-throughput sequencing data

Current Protocols in Human Genetics

Volumn , Issue SUPPL.75, 2012, Pages

  Xi, Ruibin ^a,b   Lee, Semin ^a   Park, Peter J ^a,c,d  

^a Harvard Medical School Center for Biomedical Informatics   (United States)

^b PEKING UNIVERSITY   (China)

^c BOSTON CHILDREN S HOSPITAL   (United States)

^d BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

Deletion; Indel; Insertion; Inversion; Structural variation; Translocation

Indexed keywords

ARTICLE; ASSEMBLY METHOD; CHROMOSOME TRANSLOCATION; COPY NUMBER VARIATION; DATA PROCESSING; DNA SEQUENCE; GENE DELETION; GENE INSERTION; GENE MAPPING; GENE MUTATION; GENE STRUCTURE; GENETIC ALGORITHM; GENETIC PROCEDURES; GENETIC VARIABILITY; HIGH THROUGHPUT SEQUENCING; HUMAN GENOME; INTERMETHOD COMPARISON; MATHEMATICAL ANALYSIS; PAIRED END MAPPING; PRIORITY JOURNAL; READ DEPTH METHOD; SPLIT READ METHOD; ALGORITHM; BIOLOGY; GENOMICS; INTERNET; METHODOLOGY;

ALGORITHMS; COMPUTATIONAL BIOLOGY; DNA COPY NUMBER VARIATIONS; GENOMICS; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; INTERNET;

EID: 84874776644     PISSN: 19348266     EISSN: 19348258     Source Type: Journal    
DOI: 10.1002/0471142905.hg0719s75     Document Type: Article

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