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» A Framework for Molecular Biology Data Integration
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JCB
2008
159views more  JCB 2008»
14 years 9 months ago
BayesMD: Flexible Biological Modeling for Motif Discovery
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Man-Hung Eric Tang, Anders Krogh, Ole Winther
BMCBI
2010
117views more  BMCBI 2010»
14 years 9 months ago
Automatic, context-specific generation of Gene Ontology slims
Background: The use of ontologies to control vocabulary and structure annotation has added value to genomescale data, and contributed to the capture and re-use of knowledge across...
Melissa J. Davis, Muhammad Shoaib B. Sehgal, Mark ...
BIB
2007
158views more  BIB 2007»
14 years 9 months ago
Biodiversity informatics: organizing and linking information across the spectrum of life
Biological knowledge can be inferred from three major levels of information: molecules, organisms and ecologies. Bioinformatics is an established field that has made significant a...
Indra Neil Sarkar
79
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BIOINFORMATICS
2005
96views more  BIOINFORMATICS 2005»
14 years 9 months ago
BioLingua: a programmable knowledge environment for biologists
BioLingua is an interactive, web-based programming environment that enables biologists to analyze biological systems by combining knowledge and data through direct end-user progra...
J. P. Massar, Michael Travers, Jeff Elhai, Jeff Sh...
BMCBI
2010
154views more  BMCBI 2010»
14 years 9 months ago
Motif Enrichment Analysis: a unified framework and an evaluation on ChIP data
Background: A major goal of molecular biology is determining the mechanisms that control the transcription of genes. Motif Enrichment Analysis (MEA) seeks to determine which DNA-b...
Robert C. McLeay, Timothy L. Bailey