FusionQ: A novel approach for gene fusion detection and quantification from paired-end RNA-Seq

BMC Bioinformatics

Volumn 14, Issue 1, 2013, Pages

  Liu, Chenglin ^a,b   Ma, Jinwen ^b   Chang, ChungChe Jeff ^c   Zhou, Xiaobo ^a  

^a WAKE FOREST SCHOOL OF MEDICINE   (United States)

^b PEKING UNIVERSITY   (China)

^c UNIVERSITY OF CENTRAL FLORIDA   (United States)

Author keywords

Chimerical transcripts quantification; EM algorithm; Fusion detection

Indexed keywords

CHIMERICAL TRANSCRIPTS QUANTIFICATION; CHROMOSOME REARRANGEMENT; DETECTION AND QUANTIFICATIONS; EM ALGORITHMS; EXPECTATION-MAXIMIZATION ALGORITHMS; GENE FUSION DETECTIONS; SENSITIVITY AND SPECIFICITY; SENSITIVITY PERFORMANCE;

ALGORITHMS; CELL CULTURE; DISEASES; GENES; INSPECTION EQUIPMENT;

RNA;

TRANSCRIPTOME;

ALGORITHM; BREAST TUMOR; COMPUTER PROGRAM; FEMALE; GENE FUSION; GENETICS; HUMAN; PROCEDURES; SEQUENCE ANALYSIS; TUMOR CELL LINE; ARTICLE; METHODOLOGY;

ALGORITHMS; BREAST NEOPLASMS; CELL LINE, TUMOR; FEMALE; GENE FUSION; HUMANS; SEQUENCE ANALYSIS, RNA; SOFTWARE; TRANSCRIPTOME;

EID: 84878893929     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-193     Document Type: Article

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