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» Methods for Predicting Target Sites of Transcription Factors
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BMCBI
2010
109views more  BMCBI 2010»
13 years 7 months ago
Pripper: prediction of caspase cleavage sites from whole proteomes
Background: Caspases are a family of proteases that have central functions in programmed cell death (apoptosis) and inflammation. Caspases mediate their effects through aspartate-...
Mirva Piippo, Niina Lietzén, Olli Nevalaine...
BMCBI
2010
121views more  BMCBI 2010»
13 years 4 months ago
Computing DNA duplex instability profiles efficiently with a two-state model: trends of promoters and binding sites
Background: DNA instability profiles have been used recently for predicting the transcriptional start site and the location of core promoters, and to gain insight into promoter ac...
Miriam R. Kantorovitz, Zoi Rapti, Vladimir Gelev, ...
BMCBI
2008
97views more  BMCBI 2008»
13 years 7 months ago
SiteSeek: Post-translational modification analysis using adaptive locality-effective kernel methods and new profiles
Background: Post-translational modifications have a substantial influence on the structure and functions of protein. Post-translational phosphorylation is one of the most common m...
Paul D. Yoo, Yung Shwen Ho, Bing Bing Zhou, Albert...
BMCBI
2006
98views more  BMCBI 2006»
13 years 7 months ago
Scanning sequences after Gibbs sampling to find multiple occurrences of functional elements
Background: Many DNA regulatory elements occur as multiple instances within a target promoter. Gibbs sampling programs for finding DNA regulatory elements de novo can be prohibiti...
Kannan Tharakaraman, Leonardo Mariño-Ram&ia...
ICMLA
2007
13 years 8 months ago
SVMotif: A Machine Learning Motif Algorithm
We describe SVMotif, a support vector machine-based learning algorithm for identification of cellular DNA transcription factor (TF) motifs extrapolated from known TF-gene interact...
Mark A. Kon, Yue Fan, Dustin T. Holloway, Charles ...