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» Using Multiple Alignments to Improve Gene Prediction
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BIBE
2006
IEEE
119views Bioinformatics» more  BIBE 2006»
14 years 1 months ago
Large Grain Size Stochastic Optimization Alignment
DNA sequence alignment is a critical step in identifying homology between organisms. The most widely used alignment program, ClustalW, is known to suffer from the local minima pro...
Perry Ridge, Hyrum Carroll, Dan Sneddon, Mark J. C...
BMCBI
2007
130views more  BMCBI 2007»
13 years 7 months ago
HMM-ModE - Improved classification using profile hidden Markov models by optimising the discrimination threshold and modifying e
Background: Profile Hidden Markov Models (HMM) are statistical representations of protein families derived from patterns of sequence conservation in multiple alignments and have b...
Prashant K. Srivastava, Dhwani K. Desai, Soumyadee...
BMCBI
2008
138views more  BMCBI 2008»
13 years 7 months ago
M-BISON: Microarray-based integration of data sources using networks
Background: The accurate detection of differentially expressed (DE) genes has become a central task in microarray analysis. Unfortunately, the noise level and experimental variabi...
Bernie J. Daigle Jr., Russ B. Altman
BMCBI
2007
94views more  BMCBI 2007»
13 years 7 months ago
False positive reduction in protein-protein interaction predictions using gene ontology annotations
Background: Many crucial cellular operations such as metabolism, signalling, and regulations are based on protein-protein interactions. However, the lack of robust protein-protein...
Mahmood A. Mahdavi, Yen-Han Lin
TCBB
2010
106views more  TCBB 2010»
13 years 5 months ago
Predicting Novel Human Gene Ontology Annotations Using Semantic Analysis
—The correct interpretation of many molecular biology experiments depends in an essential way on the accuracy and consistency of the existing annotation databases. Such databases...
Bogdan Done, Purvesh Khatri, Arina Done, Sorin Dra...