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» Using Global Sequence Similarity to Enhance Biological Seque...
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RECOMB
2005
Springer
14 years 5 months ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...
BIOINFORMATICS
2011
13 years 10 days ago
Integrative network alignment reveals large regions of global network similarity in yeast and human
Motivation: High-throughput methods for detecting molecular interactions have produced large sets of biological network data with much more yet to come. Analogous to sequence alig...
Oleksii Kuchaiev, Natasa Przulj
BMCBI
2010
147views more  BMCBI 2010»
13 years 5 months ago
Automatic detection of anchor points for multiple sequence alignment
Background: Determining beforehand specific positions to align (anchor points) has proved valuable for the accuracy of automated multiple sequence alignment (MSA) software. This f...
Florian Pitschi, Claudine Devauchelle, Eduardo Cor...
ISMB
1998
13 years 6 months ago
Identification of Divergent Functions in Homologous Proteins by Induction over Conserved Modules
Homologousproteins do not necessarily exhibit identical biochemicalfunction. Despitethis fact, local or global sequence similarity is widely used as an indication of functional id...
Imran Shah, Lawrence Hunter
NAR
2002
125views more  NAR 2002»
13 years 5 months ago
ASTRAL compendium enhancements
The ASTRAL compendium provides several databases and tools to aid in the analysis of protein structures, particularly through the use of their sequences. It is partially derived f...
John-Marc Chandonia, Nigel S. Walker, Loredana Lo ...