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BMCBI
2010
229views more  BMCBI 2010»
13 years 10 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
CIKM
2008
Springer
13 years 12 months ago
Pairwise statistical significance of local sequence alignment using multiple parameter sets
Background: Accurate estimation of statistical significance of a pairwise alignment is an important problem in sequence comparison. Recently, a comparative study of pairwise stati...
Ankit Agrawal, Xiaoqiu Huang
BMCBI
2008
176views more  BMCBI 2008»
13 years 10 months ago
H2r: Identification of evolutionary important residues by means of an entropy based analysis of multiple sequence alignments
Background: A multiple sequence alignment (MSA) generated for a protein can be used to characterise residues by means of a statistical analysis of single columns. In addition to t...
Rainer Merkl, Matthias Zwick
JCB
2000
101views more  JCB 2000»
13 years 9 months ago
Evaluation Measures of Multiple Sequence Alignments
Multiple sequence alignments (MSAs) are frequently used in the study of families of protein sequences or DNA/RNA sequences. They are a fundamental tool for the understanding of th...
Gaston H. Gonnet, Chantal Korostensky, Steven A. B...
BIBE
2007
IEEE
128views Bioinformatics» more  BIBE 2007»
14 years 4 months ago
QOMA2: Optimizing the alignment of many sequences
Abstract—We consider the problem of aligning multiple protein sequences with the goal of maximizing the SP (Sum-of-Pairs) score, when the number of sequences is large. The QOMA (...
Xu Zhang, Tamer Kahveci