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» Multiplicative Background Risk
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111
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BMCBI
2010
147views more  BMCBI 2010»
15 years 18 days ago
Automatic detection of anchor points for multiple sequence alignment
Background: Determining beforehand specific positions to align (anchor points) has proved valuable for the accuracy of automated multiple sequence alignment (MSA) software. This f...
Florian Pitschi, Claudine Devauchelle, Eduardo Cor...
BMCBI
2006
134views more  BMCBI 2006»
15 years 16 days ago
A statistical score for assessing the quality of multiple sequence alignments
Background: Multiple sequence alignment is the foundation of many important applications in bioinformatics that aim at detecting functionally important regions, predicting protein...
Virpi Ahola, Tero Aittokallio, Mauno Vihinen, Esa ...
112
Voted
BMCBI
2006
156views more  BMCBI 2006»
15 years 16 days ago
Detecting the limits of regulatory element conservation and divergence estimation using pairwise and multiple alignments
Background: Molecular evolutionary studies of noncoding sequences rely on multiple alignments. Yet how multiple alignment accuracy varies across sequence types, tree topologies, d...
Daniel A. Pollard, Alan M. Moses, Venky N. Iyer, M...
BMCBI
2005
132views more  BMCBI 2005»
15 years 11 days ago
Kalign - an accurate and fast multiple sequence alignment algorithm
Background: The alignment of multiple protein sequences is a fundamental step in the analysis of biological data. It has traditionally been applied to analyzing protein families f...
Timo Lassmann, Erik L. L. Sonnhammer
80
Voted
BMCBI
2010
84views more  BMCBI 2010»
15 years 18 days ago
A variational Bayes algorithm for fast and accurate multiple locus genome-wide association analysis
Background: The success achieved by genome-wide association (GWA) studies in the identification of candidate loci for complex diseases has been accompanied by an inability to expl...
Benjamin A. Logsdon, Gabriel E. Hoffman, Jason G. ...