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» Super paramagnetic clustering of protein sequences
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BMCBI
2005
99views more  BMCBI 2005»
13 years 4 months ago
Super paramagnetic clustering of protein sequences
Background: Detection of sequence homologues represents a challenging task that is important for the discovery of protein families and the reliable application of automatic annota...
Igor V. Tetko, Axel Facius, Andreas Ruepp, Hans-We...
BIBM
2008
IEEE
170views Bioinformatics» more  BIBM 2008»
13 years 11 months ago
Protein Sequence Motif Super-Rule-Tree (SRT) Structure Constructed by Hybrid Hierarchical K-Means Clustering Algorithm
— Protein sequence motifs information is crucial to the analysis of biologically significant regions. The conserved regions have the potential to determine the role of the protei...
Bernard Chen, Jieyue He, Stephen Pellicer, Yi Pan
BMCBI
2011
12 years 8 months ago
A user-friendly web portal for T-Coffee on supercomputers
Background: Parallel T-Coffee (PTC) was the first parallel implementation of the T-Coffee multiple sequence alignment tool. It is based on MPI and RMA mechanisms. Its purpose is t...
Josep Rius Torrento, Fernando Cores, Francesc Sols...