BreaKmer: Detection of structural variation in targeted massively parallel sequencing data using kmers

Nucleic Acids Research

Volumn 43, Issue 3, 2015, Pages

  Abo, Ryan P ^a   Ducar, Matthew ^a   Garcia, Elizabeth P ^b   Thorner, Aaron R ^a   Rojas Rudilla, Vanesa ^b   Lin, Ling ^a   Sholl, Lynette M ^b   Hahn, William C ^a,c   Meyerson, Matthew ^a,b,c   Lindeman, Neal I ^b   Van Hummelen, Paul ^a   MacConaill, Laura E ^a,b  

^a HARVARD MEDICAL SCHOOL   (United States)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTIC METHOD; ARTICLE; BASE PAIRING; BREAKMER METHOD; CHROMOSOME INVERSION; CHROMOSOME TRANSLOCATION; CONSENSUS SEQUENCE; CONTROLLED STUDY; DATA ANALYSIS; GENE DELETION; GENE DUPLICATION; GENE INSERTION; GENE SEQUENCE; GENETIC ALGORITHM; GENETIC VARIABILITY; GENOME ANALYSIS; HUMAN; HUMAN TISSUE; PREDICTION; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; SEQUENCE ALIGNMENT; SOLID TUMOR; TISSUE SECTION; VALIDATION PROCESS; BIOPSY; CHEMISTRY; GENETICS; MUTATION; NEOPLASM; PATHOLOGY; SEQUENCE ANALYSIS;

NUCLEIC ACID;

BIOPSY; HUMANS; MUTATION; NEOPLASMS; NUCLEIC ACIDS; SEQUENCE ANALYSIS;

EID: 84936114621     PISSN: 03051048     EISSN: 13624962     Source Type: Journal    
DOI: 10.1093/nar/gku1211     Document Type: Article

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