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» A scalable algorithm for clustering protein sequences
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BIBM
2008
IEEE
170views Bioinformatics» more  BIBM 2008»
14 years 14 days 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
BCB
2010
213views Bioinformatics» more  BCB 2010»
13 years 27 days ago
Markov clustering of protein interaction networks with improved balance and scalability
Markov Clustering (MCL) is a popular algorithm for clustering networks in bioinformatics such as protein-protein interaction networks and protein similarity networks. An important...
Venu Satuluri, Srinivasan Parthasarathy, Duygu Uca...
CSB
2005
IEEE
115views Bioinformatics» more  CSB 2005»
13 years 11 months ago
Mining Protein Sequence Motifs Representing Common 3D Structures
Understanding the relationship between protein structure and its sequence is one of the most important tasks of current bioinformatics research. In this work, recurring protein se...
Wei Zhong, Gulsah Altun, Robert W. Harrison, Phang...
INFOSCALE
2006
ACM
13 years 12 months ago
Scalable hardware accelerator for comparing DNA and protein sequences
Abstract— Comparing genetic sequences is a well-known problem in bioinformatics. Newly determined sequences are being compared to known sequences stored in databases in order to ...
Philippe Faes, Bram Minnaert, Mark Christiaens, Er...
BMCBI
2005
99views more  BMCBI 2005»
13 years 5 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...