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RECOMB
2002
Springer
14 years 8 months ago
Combining pairwise sequence similarity and support vector machines for remote protein homology detection
One key element in understanding the molecular machinery of the cell is to understand the meaning, or function, of each protein encoded in the genome. A very successful means of i...
Li Liao, William Stafford Noble
BMCBI
2006
178views more  BMCBI 2006»
13 years 8 months ago
MannDB - A microbial database of automated protein sequence analyses and evidence integration for protein characterization
Background: MannDB was created to meet a need for rapid, comprehensive automated protein sequence analyses to support selection of proteins suitable as targets for driving the dev...
Carol L. Ecale Zhou, Marisa Lam, Jason Smith, Adam...
ISMB
1994
13 years 9 months ago
Optimally Parsing a Sequence into Different Classes Based on Multiple Types of Evidence
Weconsider the problem of parsing a sequence into different classes of subsequences.Twocommonexamplesare finding the exons and introns in genomicsequences and identifying the seco...
Gary D. Stormo, David Haussler
BMCBI
2007
105views more  BMCBI 2007»
13 years 8 months ago
HoxPred: automated classification of Hox proteins using combinations of generalised profiles
Background: Correct identification of individual Hox proteins is an essential basis for their study in diverse research fields. Common methods to classify Hox proteins focus on th...
Morgane Thomas-Chollier, Luc Leyns, Valérie...
BMCBI
2004
208views more  BMCBI 2004»
13 years 8 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