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BMCBI
2010
123views more  BMCBI 2010»
13 years 3 months ago
Predicting conserved protein motifs with Sub-HMMs
Background: Profile HMMs (hidden Markov models) provide effective methods for modeling the conserved regions of protein families. A limitation of the resulting domain models is th...
Kevin Horan, Christian R. Shelton, Thomas Girke
BMCBI
2008
178views more  BMCBI 2008»
13 years 8 months ago
A discriminative method for protein remote homology detection and fold recognition combining Top-n-grams and latent semantic ana
Background: Protein remote homology detection and fold recognition are central problems in bioinformatics. Currently, discriminative methods based on support vector machine (SVM) ...
Bin Liu, Xiaolong Wang, Lei Lin, Qiwen Dong, Xuan ...
BMCBI
2006
137views more  BMCBI 2006»
13 years 8 months ago
A classification-based framework for predicting and analyzing gene regulatory response
Background: We have recently introduced a predictive framework for studying gene transcriptional regulation in simpler organisms using a novel supervised learning algorithm called...
Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chr...
BMCBI
2010
153views more  BMCBI 2010»
13 years 8 months ago
Metamotifs - a generative model for building families of nucleotide position weight matrices
Background: Development of high-throughput methods for measuring DNA interactions of transcription factors together with computational advances in short motif inference algorithms...
Matias Piipari, Thomas A. Down, Tim J. P. Hubbard
BMCBI
2005
102views more  BMCBI 2005»
13 years 8 months ago
Genome-wide identification of the regulatory targets of a transcription factor using biochemical characterization and computatio
Background: A major challenge in computational genomics is the development of methodologies that allow accurate genome-wide prediction of the regulatory targets of a transcription...
Emmitt R. Jolly, Chen-Shan Chin, Ira Herskowitz, H...