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NAR
2006
156views more  NAR 2006»
14 years 9 months ago
VOMBAT: prediction of transcription factor binding sites using variable order Bayesian trees
Variable order Markov models and variable order Bayesian trees have been proposed for the recognition of transcription factor binding sites, and it could be demonstrated that they...
Jan Grau, Irad E. Ben-Gal, Stefan Posch, Ivo Gross...
ICARIS
2004
Springer
15 years 3 months ago
Definition of MHC Supertypes Through Clustering of MHC Peptide Binding Repertoires
MHC molecules, also known in the human as human leukocyte antigens (HLA), display peptides on antigen presenting cell surfaces for subsequent T cell recognition. Identification of ...
Pedro A. Reche, Ellis L. Reinherz
BMCBI
2007
130views more  BMCBI 2007»
14 years 9 months ago
Exploiting residue-level and profile-level interface propensities for usage in binding sites prediction of proteins
Background: Recognition of binding sites in proteins is a direct computational approach to the characterization of proteins in terms of biological and biochemical function. Residu...
Qiwen Dong, Xiaolong Wang, Lei Lin, Yi Guan
BMCBI
2010
156views more  BMCBI 2010»
14 years 9 months ago
PeakAnalyzer: Genome-wide annotation of chromatin binding and modification loci
Background: Functional genomic studies involving high-throughput sequencing and tiling array applications, such as ChIP-seq and ChIP-chip, generate large numbers of experimentally...
Mali Salmon-Divon, Heidi Dvinge, Kairi Tammoja, Pa...
BMCBI
2008
128views more  BMCBI 2008»
14 years 9 months ago
Finding sequence motifs with Bayesian models incorporating positional information: an application to transcription factor bindin
Background: Biologically active sequence motifs often have positional preferences with respect to a genomic landmark. For example, many known transcription factor binding sites (T...
Nak-Kyeong Kim, Kannan Tharakaraman, Leonardo Mari...