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BMCBI
2006
179views more  BMCBI 2006»
13 years 10 months ago
Multiscale Hy3S: Hybrid stochastic simulation for supercomputers
Background: Stochastic simulation has become a useful tool to both study natural biological systems and design new synthetic ones. By capturing the intrinsic molecular fluctuation...
Howard Salis, Vassilios Sotiropoulos, Yiannis N. K...
BMCBI
2006
160views more  BMCBI 2006»
13 years 10 months ago
Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources
Background: In order to improve gene prediction, extrinsic evidence on the gene structure can be collected from various sources of information such as genome-genome comparisons an...
Mario Stanke, Oliver Schöffmann, Burkhard Mor...
BMCBI
2006
116views more  BMCBI 2006»
13 years 10 months ago
Gene annotation and network inference by phylogenetic profiling
Background: Phylogenetic analysis is emerging as one of the most informative computational methods for the annotation of genes and identification of evolutionary modules of functi...
Jie Wu, Zhenjun Hu, Charles DeLisi
BMCBI
2006
102views more  BMCBI 2006»
13 years 10 months ago
MycoperonDB: a database of computationally identified operons and transcriptional units in Mycobacteria
Background: A key post genomics challenge is to identify how genes in an organism come together and perform physiological functions. An important first step in this direction is t...
Sarita Ranjan, Ranjit Kumar Gundu, Akash Ranjan
BMCBI
2006
119views more  BMCBI 2006»
13 years 10 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
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