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» Sequence Complexity for Biological Sequence Analysis
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BMCBI
2010
171views more  BMCBI 2010»
14 years 10 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
ANOR
2010
139views more  ANOR 2010»
14 years 8 months ago
Some operations research methods for analyzing protein sequences and structures
Operations Research is probably one of the most successful fields of applied mathematics used in Economics, Physics, Chemistry, almost everywhere onehastoanalyzehugeamountsofdata.L...
Piotr Lukasiak, Jacek Blazewicz, Maciej Milostan
NAR
2006
107views more  NAR 2006»
14 years 9 months ago
CorGen - measuring and generating long-range correlations for DNA sequence analysis
CorGen is a web server that measures long-range correlations in the base composition of DNA and generates random sequences with the same correlation parameters. Long-range correla...
Philipp W. Messer, Peter F. Arndt
ISMB
1994
14 years 11 months ago
An Efficient Method for Multiple Sequence Alignment
Multiple sequence alignment has been a useful methodin the study of molecular evolution and sequence-structure relationships. This paper presents a newmethodfor multiple sequence ...
Jin Kim, Sakti Pramanik
AIIA
2007
Springer
15 years 4 months ago
Structured Hidden Markov Model: A General Framework for Modeling Complex Sequences
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...
Ugo Galassi, Attilio Giordana, Lorenza Saitta