Using reads to annotate the genome: Influence of length, background distribution, and sequence errors on prediction capacity

Nucleic Acids Research

Volumn 37, Issue 15, 2009, Pages

  Philippe, Nicolas ^a,b   Boureux, Anthony ^b   Bréhélin, Laurent ^a   Tarhio, Jorma ^c   Commes, Thérèse ^b   Rivals, Éric ^a  

^a LIRMM   (France)

^b UNIV MONTPELLIER   (France)

^c AALTO UNIVERSITY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ANALYTICAL ERROR; ARTICLE; ASSAY; CHROMATIN IMMUNOPRECIPITATION; CONTROLLED STUDY; DATA ANALYSIS; EPIGENETICS; FALSE POSITIVE RESULT; GENE LOCATION; GENE SEQUENCE; GENOME ANALYSIS; GENOME SIZE; HIGH THROUGHPUT SCREENING; HUMAN GENOME; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; PREDICTION; PRIORITY JOURNAL; PROBABILITY; PROCESS OPTIMIZATION; SEQUENCE ANALYSIS; SEQUENCE TAGGED SITE; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL DISTRIBUTION; THEORETICAL MODEL; TRANSCRIPTOMICS; VALIDATION PROCESS; CHROMOSOME MAP; DNA SEQUENCE; GENE EXPRESSION PROFILING; GENOMICS; HUMAN; METHODOLOGY;

CHROMATIN IMMUNOPRECIPITATION; CHROMOSOME MAPPING; GENE EXPRESSION PROFILING; GENOME, HUMAN; GENOMICS; HUMANS; POLYMORPHISM, SINGLE NUCLEOTIDE; SEQUENCE ANALYSIS, DNA;

EID: 69849093232     PISSN: 03051048     EISSN: 13624962     Source Type: Journal    
DOI: 10.1093/nar/gkp492     Document Type: Article

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