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161
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BMCBI
2004
208views more  BMCBI 2004»
15 years 4 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
BMCBI
2004
90views more  BMCBI 2004»
15 years 4 months ago
Statistical monitoring of weak spots for improvement of normalization and ratio estimates in microarrays
Background: Several aspects of microarray data analysis are dependent on identification of genes expressed at or near the limits of detection. For example, regression-based normal...
Igor Dozmorov, Nicholas Knowlton, Yuhong Tang, Mic...
138
Voted
BMCBI
2004
73views more  BMCBI 2004»
15 years 4 months ago
Use of a structural alphabet for analysis of short loops connecting repetitive structures
Background: Because loops connect regular secondary structures, analysis of the former depends directly on the definition of the latter. The numerous assignment methods, however, ...
Laurent Fourrier, Cristina Benros, Alexandre G. de...
181
Voted
BMCBI
2004
146views more  BMCBI 2004»
15 years 4 months ago
Defining transcriptional networks through integrative modeling of mRNA expression and transcription factor binding data
Background: Functional genomics studies are yielding information about regulatory processes in the cell at an unprecedented scale. In the yeast S. cerevisiae, DNA microarrays have...
Feng Gao, Barrett C. Foat, Harmen J. Bussemaker
136
Voted
BMCBI
2004
96views more  BMCBI 2004»
15 years 4 months ago
Gene finding in novel genomes
Background: Computational gene prediction continues to be an important problem, especially for genomes with little experimental data. Results: I introduce the SNAP gene finder whi...
Ian Korf
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