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» Adversarial Sequence Prediction
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BMCBI
2006
102views more  BMCBI 2006»
13 years 9 months ago
Protein secondary structure prediction for a single-sequence using hidden semi-Markov models
Background: The accuracy of protein secondary structure prediction has been improving steadily towards the 88% estimated theoretical limit. There are two types of prediction algor...
Zafer Aydin, Yucel Altunbasak, Mark Borodovsky
BMCBI
2006
112views more  BMCBI 2006»
13 years 9 months ago
Distill: a suite of web servers for the prediction of one-, two- and three-dimensional structural features of proteins
Background: We describe Distill, a suite of servers for the prediction of protein structural features: secondary structure; relative solvent accessibility; contact density; backbo...
Davide Baù, Alberto J. M. Martin, Catherine...
CGO
2008
IEEE
14 years 4 months ago
Prediction and trace compression of data access addresses through nested loop recognition
This paper describes an algorithm that takes a trace (i.e., a sequence of numbers or vectors of numbers) as input, and from that produces a sequence of loop nests that, when run, ...
Alain Ketterlin, Philippe Clauss
BMCBI
2008
101views more  BMCBI 2008»
13 years 9 months ago
Prediction of glycosylation sites using random forests
Background: Post translational modifications (PTMs) occur in the vast majority of proteins and are essential for function. Prediction of the sequence location of PTMs enhances the...
Stephen E. Hamby, Jonathan D. Hirst
ISMB
1997
13 years 11 months ago
SEALS: A System for Easy Analysis of Lots of Sequences
We present a system of programs designed to facilitate sequence analysis projects involving large amounts of data. SEALS (System for Easy Analysis of Lots of Sequences) is a logic...
D. Roland Walker, Eugene V. Koonin