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» Learning Methods for DNA Binding in Computational Biology
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ISMB
1993
13 years 11 months ago
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman
BMCBI
2008
108views more  BMCBI 2008»
13 years 10 months ago
An analysis of the positional distribution of DNA motifs in promoter regions and its biological relevance
Background: Motif finding algorithms have developed in their ability to use computationally efficient methods to detect patterns in biological sequences. However the posterior cla...
Ana C. Casimiro, Susana Vinga, Ana T. Freitas, Arl...
CIBCB
2006
IEEE
14 years 3 months ago
Machine Learning in Basecalling Decoding Trace Peak Behaviour
— DNA sequence basecalling is commonly regarded as a solved problem, despite significant error rates being reflected in inaccuracies in databases and genome annotations. These er...
David Thornley, Stavros Petridis
BMCBI
2010
90views more  BMCBI 2010»
13 years 10 months ago
Local alignment of generalized k-base encoded DNA sequence
Background: DNA sequence comparison is a well-studied problem, in which two DNA sequences are compared using a weighted edit distance. Recent DNA sequencing technologies however o...
Nils Homer, Stanley F. Nelson, Barry Merriman
TCS
2008
13 years 9 months ago
Detection of subtle variations as consensus motifs
We address the problem of detecting consensus motifs, that occur with subtle variations, across multiple sequences. These are usually functional domains in DNA sequences such as t...
Matteo Comin, Laxmi Parida