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IDA
2007
Springer
13 years 11 months ago
Learning to Align: A Statistical Approach
We present a new machine learning approach to the inverse parametric sequence alignment problem: given as training examples a set of correct pairwise global alignments, find the p...
Elisa Ricci, Tijl De Bie, Nello Cristianini
RECOMB
2006
Springer
14 years 5 months ago
Simple and Fast Inverse Alignment
For as long as biologists have been computing alignments of sequences, the question of what values to use for scoring substitutions and gaps has persisted. While some choices for s...
John D. Kececioglu, Eagu Kim
BMCBI
2006
137views more  BMCBI 2006»
13 years 4 months ago
Sigma: multiple alignment of weakly-conserved non-coding DNA sequence
Background: Existing tools for multiple-sequence alignment focus on aligning protein sequence or protein-coding DNA sequence, and are often based on extensions to Needleman-Wunsch...
Rahul Siddharthan
BMCBI
2006
165views more  BMCBI 2006»
13 years 4 months ago
Improving the quality of protein structure models by selecting from alignment alternatives
Background: In the area of protein structure prediction, recently a lot of effort has gone into the development of Model Quality Assessment Programs (MQAPs). MQAPs distinguish hig...
Ingolf Sommer, Stefano Toppo, Oliver Sander, Thoma...
BMCBI
2010
133views more  BMCBI 2010»
13 years 5 months ago
Improving de novo sequence assembly using machine learning and comparative genomics for overlap correction
Background: With the rapid expansion of DNA sequencing databases, it is now feasible to identify relevant information from prior sequencing projects and completed genomes and appl...
Lance E. Palmer, Mathäus Dejori, Randall A. B...