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» Detecting Motifs from Sequences
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BMCBI
2008
169views more  BMCBI 2008»
14 years 9 months ago
CompMoby: Comparative MobyDick for detection of cis-regulatory motifs
Background: The regulation of gene expression is complex and occurs at many levels, including transcriptional and post-transcriptional, in metazoans. Transcriptional regulation is...
Christina Chaivorapol, Collin Melton, Grace Wei, R...
BMCBI
2005
201views more  BMCBI 2005»
14 years 9 months ago
Principal component analysis for predicting transcription-factor binding motifs from array-derived data
Background: The responses to interleukin 1 (IL-1) in human chondrocytes constitute a complex regulatory mechanism, where multiple transcription factors interact combinatorially to...
Yunlong Liu, Matthew P. Vincenti, Hiroki Yokota
70
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PSB
2004
14 years 11 months ago
Motif Discovery in Heterogeneous Sequence Data
This paper introduces the first integrated algorithm designed to discover novel motifs in heterogeneous sequence data, which is comprised of coregulated genes from a single genome...
Amol Prakash, Mathieu Blanchette, Saurabh Sinha, M...
HICSS
1994
IEEE
157views Biometrics» more  HICSS 1994»
15 years 1 months ago
A Protein Family Classification Method for Analysis of Large DNA Sequences
A method is described for identification and classification of proteins encoded in large DNA sequences. Previously, an automated system was introduced for the general detection of...
Steven Henikoff, Jorja G. Henikoff
RECOMB
2003
Springer
15 years 10 months ago
Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals
We propose a framework for modeling sequence motifs based on the maximum entropy principle (MEP). We recommend approximating short sequence motif distributions with the maximum en...
Gene W. Yeo, Christopher B. Burge