Using local gene expression similarities to discover regulatory binding site modules.
about
Exploiting residue-level and profile-level interface propensities for usage in binding sites prediction of proteins.Revealing cell cycle control by combining model-based detection of periodic expression with novel cis-regulatory descriptorsA systems biology model of the regulatory network in Populus leaves reveals interacting regulators and conserved regulation.Dynamic CRM occupancy reflects a temporal map of developmental progression.
P2860
Using local gene expression similarities to discover regulatory binding site modules.
description
2006 nî lūn-bûn
@nan
2006 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Using local gene expression similarities to discover regulatory binding site modules.
@ast
Using local gene expression similarities to discover regulatory binding site modules.
@en
Using local gene expression similarities to discover regulatory binding site modules.
@nl
type
label
Using local gene expression similarities to discover regulatory binding site modules.
@ast
Using local gene expression similarities to discover regulatory binding site modules.
@en
Using local gene expression similarities to discover regulatory binding site modules.
@nl
prefLabel
Using local gene expression similarities to discover regulatory binding site modules.
@ast
Using local gene expression similarities to discover regulatory binding site modules.
@en
Using local gene expression similarities to discover regulatory binding site modules.
@nl
P2860
P50
P356
P1433
P1476
Using local gene expression similarities to discover regulatory binding site modules.
@en
P2093
Jan Komorowski
P2860
P2888
P356
10.1186/1471-2105-7-505
P577
2006-11-17T00:00:00Z
P5875
P6179
1035779782