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» Probabilistic annotation of protein sequences based on funct...
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BMCBI
2005
155views more  BMCBI 2005»
13 years 7 months ago
Mining protein function from text using term-based support vector machines
Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
Simon B. Rice, Goran Nenadic, Benjamin J. Stapley
BMCBI
2005
173views more  BMCBI 2005»
13 years 7 months ago
Phydbac "Gene Function Predictor" : a gene annotation tool based on genomic context analysis
Background: The large amount of completely sequenced genomes allows genomic context analysis to predict reliable functional associations between prokaryotic proteins. Major method...
François Enault, Karsten Suhre, Jean-Michel...
CIBCB
2006
IEEE
14 years 1 months ago
E2D: A Novel Tool for Annotating Protein Domains in Expressed Sequence Tags
The vast number of expressed sequence tags (ESTs) in public databases provides an important resource for comparative and functional genomics. A variety of methods based on homology...
Guo-Hsing Lee, Nai-Yu Chuang, Wen-Dar Lin, Chung-D...
NAR
2006
164views more  NAR 2006»
13 years 7 months ago
FISH - family identification of sequence homologues using structure anchored hidden Markov models
The FISH server is highly accurate in identifying the family membership of domains in a query protein sequence, even in the case of very low sequence identities to known homologue...
Jeanette Tångrot, Lixiao Wang, Bo Kågs...
APBC
2004
166views Bioinformatics» more  APBC 2004»
13 years 9 months ago
A Novel Method for Protein Subcellular Localization Based on Boosting and Probabilistic Neural Network.
Subcellular localization is a key functional characteristic of proteins. An automatic, reliable and efficient prediction system for protein subcellular localization is needed for ...
Jian Guo, Yuanlie Lin, Zhirong Sun