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» The MPI Bioinformatics Toolkit for protein sequence analysis
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AUSAI
2008
Springer
13 years 10 months ago
Propositionalisation of Profile Hidden Markov Models for Biological Sequence Analysis
Hidden Markov Models are a widely used generative model for analysing sequence data. A variant, Profile Hidden Markov Models are a special case used in Bioinformatics to represent,...
Stefan Mutter, Bernhard Pfahringer, Geoffrey Holme...
BMCBI
2007
133views more  BMCBI 2007»
13 years 8 months ago
AGGRESCAN: a server for the prediction and evaluation of "hot spots" of aggregation in polypeptides
Background: Protein aggregation correlates with the development of several debilitating human disorders of growing incidence, such as Alzheimer's and Parkinson's disease...
Oscar Conchillo-Solé, Natalia S. de Groot, ...
CANDC
2004
ACM
13 years 7 months ago
The iProClass integrated database for protein functional analysis
Increasingly, scientists have begun to tackle gene functions and other complex regulatory processes by studying organisms at the global scales for various levels of biological org...
Cathy H. Wu, Hongzhan Huang, Anastasia N. Nikolska...
BIB
2006
141views more  BIB 2006»
13 years 8 months ago
Statistical significance in biological sequence analysis
One of the major goals of computational sequence analysis is to find sequence similarities, which could serve as evidence of structural and functional conservation, as well as of ...
Alexander Yu. Mitrophanov, Mark Borodovsky
BMCBI
2006
114views more  BMCBI 2006»
13 years 8 months ago
A high level interface to SCOP and ASTRAL implemented in Python
Background: Benchmarking algorithms in structural bioinformatics often involves the construction of datasets of proteins with given sequence and structural properties. The SCOP da...
James A. Casbon, Gavin E. Crooks, Mansoor A. S. Sa...