Probabilistic alignment leads to improved accuracy and read coverage for bisulfite sequencing data

BMC Bioinformatics

Volumn 14, Issue 1, 2013, Pages

  Hong, Changjin ^a   Clement, Nathan L ^b   Clement, Spencer ^c   Hammoud, Saher S ^d,e   Carrell, Douglas T ^d   Cairns, Bradley R ^e   Snell, Quinn ^c   Clement, Mark J ^c   Johnson, William E ^a  

^a BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b University of Texas at Austin   (United States)

^c 3361 TMCB   (United States)

^d UNIVERSITY OF UTAH SCHOOL OF MEDICINE   (United States)

^e UNIVERSITY OF UTAH   (United States)

Author keywords

Bisulfite sequencing; DNA methylation; Parallel processing; Probabilistic alignment

Indexed keywords

BIOLOGICAL PHENOMENA; BISULFITE-SEQUENCING; COMPUTATIONAL PROBLEM; DNA METHYLATION; DYNAMIC PROGRAMMING METHODS; MULTIPLE PROCESSORS; PARALLEL PROCESSING; PROBABILISTIC ALGORITHM;

ALGORITHMS; ALKYLATION; DATA HANDLING; EXPERIMENTS; HEURISTIC METHODS;

GENE ENCODING;

HYDROGEN SULFITE; SULFITE;

ALGORITHM; ARTIFICIAL INTELLIGENCE; CHEMISTRY; COMPUTER PROGRAM; COMPUTER SIMULATION; CONTROLLED STUDY; DNA METHYLATION; DNA SEQUENCE; HUMAN; HUMAN GENOME; NUCLEOTIDE SEQUENCE; PROBABILITY; RANDOMIZED CONTROLLED TRIAL; SEQUENCE ALIGNMENT; STANDARDS; ARTICLE; CONTROLLED CLINICAL TRIAL; STANDARD;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BASE SEQUENCE; COMPUTER SIMULATION; DNA METHYLATION; GENOME, HUMAN; HUMANS; PROBABILITY; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, DNA; SOFTWARE; SULFITES;

EID: 84887861336     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-337     Document Type: Article

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