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» Detecting Motifs from Sequences
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SIGIR
2010
ACM
14 years 4 months ago
Efficient partial-duplicate detection based on sequence matching
With the ever-increasing growth of the Internet, numerous copies of documents become serious problem for search engine, opinion mining and many other web applications. Since parti...
Qi Zhang, Yue Zhang, Haomin Yu, Xuanjing Huang
BMCBI
2005
132views more  BMCBI 2005»
14 years 9 months ago
Kalign - an accurate and fast multiple sequence alignment algorithm
Background: The alignment of multiple protein sequences is a fundamental step in the analysis of biological data. It has traditionally been applied to analyzing protein families f...
Timo Lassmann, Erik L. L. Sonnhammer
BMCBI
2006
129views more  BMCBI 2006»
14 years 10 months ago
Fast index based algorithms and software for matching position specific scoring matrices
Background: In biological sequence analysis, position specific scoring matrices (PSSMs) are widely used to represent sequence motifs in nucleotide as well as amino acid sequences....
Michael Beckstette, Robert Homann, Robert Giegeric...
BMCBI
2005
125views more  BMCBI 2005»
14 years 9 months ago
DIALIGN-T: An improved algorithm for segment-based multiple sequence alignment
Background: We present a complete re-implementation of the segment-based approach to multiple protein alignment that contains a number of improvements compared to the previous ver...
Amarendran R. Subramanian, Jan Weyer-Menkhoff, Mic...
IJCAI
2007
14 years 11 months ago
Incremental Construction of Structured Hidden Markov Models
This paper presents an algorithm for inferring a Structured Hidden Markov Model (S-HMM) from a set of sequences. The S-HMMs are a sub-class of the Hierarchical Hidden Markov Model...
Ugo Galassi, Attilio Giordana, Lorenza Saitta