Finding sRNA generative locales from high-throughput sequencing data with NiBLS

BMC Bioinformatics

Volumn 11, Issue , 2010, Pages

  MacLean, Daniel ^a   Moulton, Vincent ^b   Studholme, David J ^a  

^a SAINSBURY LABORATORY   (United Kingdom)

^b UNIVERSITY OF EAST ANGLIA   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING COEFFICIENT; HIGH-THROUGHPUT; HIGH-THROUGHPUT SEQUENCING; NEXT-GENERATION SEQUENCING; REGULATORY RNAS; SENSITIVE METHOD; SENSITIVITY AND SPECIFICITY; SEQUENCE DATA;

ALGORITHMS; GENES;

RNA;

ARABIDOPSIS;

MICRORNA;

ALGORITHM; ARTICLE; BIOLOGY; CHEMISTRY; COMPUTER PROGRAM; METHODOLOGY; NUCLEOTIDE SEQUENCE; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS;

ALGORITHMS; BASE SEQUENCE; COMPUTATIONAL BIOLOGY; MICRORNAS; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, RNA; SOFTWARE;

EID: 77949441724     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-11-93     Document Type: Article

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