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» Methods for Predicting Target Sites of Transcription Factors
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WABI
2010
Springer
167views Bioinformatics» more  WABI 2010»
13 years 5 months ago
Quantifying the Strength of Natural Selection of a Motif Sequence
Quantification of selective pressures on regulatory sequences is a central question in studying the evolution of gene regulatory networks. Previous methods focus primarily on sing...
Chen-Hsiang Yeang
BIOINFORMATICS
2007
195views more  BIOINFORMATICS 2007»
13 years 7 months ago
Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
Motivation: High-throughput expression profiling allows researchers to study gene activities globally. Genes with similar expression profiles are likely to encode proteins that ma...
Shinsheng Yuan, Ker-Chau Li
IJBRA
2006
61views more  IJBRA 2006»
13 years 7 months ago
Finding functional promoter motifs by computational methods: a word of caution
: The standard practice in the analysis of promoters is to select promoter regions of convenient length. This may lead to false results when searching for Transcription Factor Bind...
Rajesh Chowdhary, Limsoon Wong, Vladimir B. Bajic
BMCBI
2005
78views more  BMCBI 2005»
13 years 7 months ago
PREP-Mt: predictive RNA editor for plant mitochondrial genes
Background: In plants, RNA editing is a process that converts specific cytidines to uridines and uridines to cytidines in transcripts from virtually all mitochondrial protein-codi...
Jeffrey P. Mower
GCB
2008
Springer
103views Biometrics» more  GCB 2008»
13 years 8 months ago
Utilizing Promoter Pair Orientations for HMM-based Analysis of ChIP-chip Data
: Array-based analysis of chromatin immunoprecipitation data (ChIP-chip) is a powerful technique for identifying DNA target regions of individual transcription factors. Here, we pr...
Michael Seifert, Jens Keilwagen, Marc Strickert, I...