Allegro: analyzing expression and sequence in concert to discover regulatory programs.
about
Bioinformatics and systems biology of the lipidomeAnalysis of Genomic Sequence Motifs for Deciphering Transcription Factor Binding and Transcriptional Regulation in Eukaryotic CellsTargeting the Y/CCAAT box in cancer: YB-1 (YBX1) or NF-Y?The enhancer landscape during early neocortical development reveals patterns of dense regulation and co-optionDetailing regulatory networks through large scale data integrationFunctional cooperation between CREM and GCNF directs gene expression in haploid male germ cellsAn integrative clustering and modeling algorithm for dynamical gene expression data.Simple Shared Motifs (SSM) in conserved region of promoters: a new approach to identify co-regulation patterns.Towards computational prediction of microRNA function and activity.Expander: from expression microarrays to networks and functions.Dissection of regulatory networks that are altered in disease via differential co-expression.iRegulon: from a gene list to a gene regulatory network using large motif and track collections.A novel candidate cis-regulatory motif pair in the promoters of germline and oogenesis genes in C. elegansARID3B Directly Regulates Ovarian Cancer Promoting Genes.cMonkey2: Automated, systematic, integrated detection of co-regulated gene modules for any organismNew meta-analysis tools reveal common transcriptional regulatory basis for multiple determinants of behaviorAnalysis of inflammatory and lipid metabolic networks across RAW264.7 and thioglycolate-elicited macrophages.CpG-depleted promoters harbor tissue-specific transcription factor binding signals--implications for motif overrepresentation analyses.NF-Y and the transcriptional activation of CCAAT promoters.Analysis of cis-Regulatory Elements in Gene Co-expression Networks in Cancer.Rational design of therapeutic siRNAs: minimizing off-targeting potential to improve the safety of RNAi therapy for Huntington's disease.Argo_CUDA: Exhaustive GPU based approach for motif discovery in large DNA datasets.
P2860
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P2860
Allegro: analyzing expression and sequence in concert to discover regulatory programs.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
2009年论文
@zh
2009年论文
@zh-cn
name
Allegro: analyzing expression and sequence in concert to discover regulatory programs.
@en
Allegro: analyzing expression and sequence in concert to discover regulatory programs.
@nl
type
label
Allegro: analyzing expression and sequence in concert to discover regulatory programs.
@en
Allegro: analyzing expression and sequence in concert to discover regulatory programs.
@nl
prefLabel
Allegro: analyzing expression and sequence in concert to discover regulatory programs.
@en
Allegro: analyzing expression and sequence in concert to discover regulatory programs.
@nl
P2093
P2860
P356
P1476
Allegro: analyzing expression and sequence in concert to discover regulatory programs.
@en
P2093
Chaim Linhart
Ron Shamir
Yonit Halperin
P2860
P304
P356
10.1093/NAR/GKN1064
P407
P50
P577
2009-01-16T00:00:00Z