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» Genomic analysis of gene regulation complexity
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BMCBI
2010
114views more  BMCBI 2010»
14 years 10 months ago
An integrative modular approach to systematically predict gene-phenotype associations
Background: Complex human diseases are often caused by multiple mutations, each of which contributes only a minor effect to the disease phenotype. To study the basis for these com...
Michael R. Mehan, Juan Nunez-Iglesias, Chao Dai, M...
71
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BMCBI
2006
133views more  BMCBI 2006»
14 years 10 months ago
Web-based analysis of the mouse transcriptome using Genevestigator
Background: Gene function analysis often requires a complex and laborious sequence of laboratory and computer-based experiments. Choosing an effective experimental design generall...
Oliver Laule, Matthias Hirsch-Hoffmann, Tomas Hruz...
IDA
2009
Springer
14 years 7 months ago
Estimating Hidden Influences in Metabolic and Gene Regulatory Networks
We address the applicability of blind source separation (BSS) methods for the estimation of hidden influences in biological dynamic systems such as metabolic or gene regulatory net...
Florian Blöchl, Fabian J. Theis
109
Voted
IPPS
2007
IEEE
15 years 4 months ago
RNAVLab: A unified environment for computational RNA structure analysis based on grid computing technology
Ribonucleic acid (RNA) molecules play important roles in many biological processes including gene expression and regulation. An RNA molecule is a linear polymer which folds back o...
Michela Taufer, Ming-Ying Leung, Kyle L. Johnson, ...
BMCBI
2007
153views more  BMCBI 2007»
14 years 10 months ago
MPHASYS: a mouse phenotype analysis system
Background: Systematic, high-throughput studies of mouse phenotypes have been hampered by the inability to analyze individual animal data from a multitude of sources in an integra...
R. Brent Calder, Rudolf B. Beems, Harry van Steeg,...