STEME: a robust, accurate motif finder for large data sets.
about
Meta-expression analysis of unannotated genes in rice and approaches for network construction to suggest the probable roles.GSMC: Combining Parallel Gibbs Sampling with Maximal Cliques for Hunting DNA Motif.Modular discovery of monomeric and dimeric transcription factor binding motifs for large data sets.
P2860
STEME: a robust, accurate motif finder for large data sets.
description
2014 nî lūn-bûn
@nan
2014 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի մարտին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
STEME: a robust, accurate motif finder for large data sets.
@ast
STEME: a robust, accurate motif finder for large data sets.
@en
type
label
STEME: a robust, accurate motif finder for large data sets.
@ast
STEME: a robust, accurate motif finder for large data sets.
@en
prefLabel
STEME: a robust, accurate motif finder for large data sets.
@ast
STEME: a robust, accurate motif finder for large data sets.
@en
P2860
P1433
P1476
STEME: a robust, accurate motif finder for large data sets
@en
P2093
Lorenz Wernisch
P2860
P304
P356
10.1371/JOURNAL.PONE.0090735
P407
P50
P577
2014-03-13T00:00:00Z