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BIOINFORMATICS
2010
87views more  BIOINFORMATICS 2010»
13 years 8 months ago
Improving protein secondary structure prediction using a simple k-mer model
Motivation: Existing methods for protein sequence analysis are generally firstorder and inherently assume that each position is independent. We develop a general framework for int...
Martin Madera, Ryan Calmus, Grant Thiltgen, Kevin ...
BMCBI
2006
129views more  BMCBI 2006»
13 years 8 months ago
Improved alignment quality by combining evolutionary information, predicted secondary structure and self-organizing maps
Background: Protein sequence alignment is one of the basic tools in bioinformatics. Correct alignments are required for a range of tasks including the derivation of phylogenetic t...
Tomas Ohlson, Varun Aggarwal, Arne Elofsson, Rober...
MLMTA
2007
13 years 9 months ago
Prediction of Protein Secondary Structures with a Novel Kernel Density Estimator
- Though prediction of protein secondary structures has been an active research issue in bioinformatics for quite a few years and many approaches have been proposed, a new challeng...
Yen-Jen Oyang, Darby Tien-Hao Chang, Yu-Yen Ou, Ha...
RECOMB
2009
Springer
14 years 8 months ago
Learning Models for Aligning Protein Sequences with Predicted Secondary Structure
Accurately aligning distant protein sequences is notoriously difficult. A recent approach to improving alignment accuracy is to use additional information such as predicted seconda...
Eagu Kim, Travis J. Wheeler, John D. Kececioglu
EUROGP
2004
Springer
105views Optimization» more  EUROGP 2004»
14 years 1 months ago
Evolved Matrix Operations for Post-processing Protein Secondary Structure Predictions
Predicting the three-dimensional structure of proteins is a hard problem, so many have opted instead to predict the secondary structural state (usually helix, strand or coil) of e...
Varun Aggarwal, Robert M. MacCallum