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BMCBI
2008
172views more  BMCBI 2008»
15 years 6 months ago
Compo: composite motif discovery using discrete models
Background: Computational discovery of motifs in biomolecular sequences is an established field, with applications both in the discovery of functional sites in proteins and regula...
Geir Kjetil Sandve, Osman Abul, Finn Drablø...
BMCBI
2008
135views more  BMCBI 2008»
15 years 6 months ago
Functional site prediction selects correct protein models
Background: The prediction of protein structure can be facilitated by the use of constraints based on a knowledge of functional sites. Without this information it is still possibl...
Vijayalakshmi Chelliah, William R. Taylor
AMC
2006
67views more  AMC 2006»
15 years 6 months ago
A general probabilistic model of the PCR process
Earlier work by Saha et al. rigorously derived a general probabilistic model for the PCR process that includes as a special case the Velikanov-Kapral model where all nucleotide re...
Nilanjan Saha, Layne T. Watson, Karen Kafadar, Ale...
BMCBI
2006
112views more  BMCBI 2006»
15 years 6 months ago
Algorithms for incorporating prior topological information in HMMs: application to transmembrane proteins
Background: Hidden Markov Models (HMMs) have been extensively used in computational molecular biology, for modelling protein and nucleic acid sequences. In many applications, such...
Pantelis G. Bagos, Theodore D. Liakopoulos, Stavro...
BMCBI
2006
111views more  BMCBI 2006»
15 years 6 months ago
Development of an unbiased statistical method for the analysis of unigenic evolution
Background: Unigenic evolution is a powerful genetic strategy involving random mutagenesis of a single gene product to delineate functionally important domains of a protein. This ...
Colleen D. Behrsin, Chris J. Brandl, David W. Litc...