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» Sequence Database Search Using Jumping Alignments
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85
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NAR
2006
164views more  NAR 2006»
14 years 10 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...
92
Voted
ICASSP
2010
IEEE
14 years 8 months ago
Multiple sequence alignment based bootstrapping for improved incremental word learning
We investigate incremental word learning with few training examples in a Hidden Markov Model (HMM) framework suitable for an interactive learning scenario with little prior knowle...
Irene Ayllól Clemente, Martin Heckmann, Ger...
IPPS
2002
IEEE
15 years 3 months ago
Improving Performance of Multiple Sequence Alignment Analysis in Multi-Client Environments
This paper is concerned with the efficient execution of multiplesequence alignmentmethodsin a multipleclientenvironment. Multiple sequence alignment (MSA) is a computationally ex...
Ümit V. Çatalyürek, Eric Stahlber...
BMCBI
2006
166views more  BMCBI 2006»
14 years 10 months ago
SEQOPTICS: a protein sequence clustering system
Background: Protein sequence clustering has been widely used as a part of the analysis of protein structure and function. In most cases single linkage or graph-based clustering al...
Yonghui Chen, Kevin D. Reilly, Alan P. Sprague, Zh...
111
Voted
BMCBI
2006
137views more  BMCBI 2006»
14 years 10 months ago
Improving the accuracy of protein secondary structure prediction using structural alignment
Background: The accuracy of protein secondary structure prediction has steadily improved over the past 30 years. Now many secondary structure prediction methods routinely achieve ...
Scott Montgomerie, Shan Sundararaj, Warren J. Gall...