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ALMOB
2008
85views more  ALMOB 2008»
13 years 4 months ago
Noisy: Identification of problematic columns in multiple sequence alignments
Motivation: Sequence-based methods for phylogenetic reconstruction from (nucleic acid) sequence data are notoriously plagued by two effects: homoplasies and alignment errors. Larg...
Andreas W. M. Dress, Christoph Flamm, Guido Fritzs...
BMCBI
2004
200views more  BMCBI 2004»
13 years 4 months ago
ABC: software for interactive browsing of genomic multiple sequence alignment data
Background: Alignment and comparison of related genome sequences is a powerful method to identify regions likely to contain functional elements. Such analyses are data intensive, ...
Gregory M. Cooper, Senthil A. G. Singaravelu, Aren...
BMCBI
2008
176views more  BMCBI 2008»
13 years 4 months ago
H2r: Identification of evolutionary important residues by means of an entropy based analysis of multiple sequence alignments
Background: A multiple sequence alignment (MSA) generated for a protein can be used to characterise residues by means of a statistical analysis of single columns. In addition to t...
Rainer Merkl, Matthias Zwick
NAR
2010
140views more  NAR 2010»
12 years 11 months ago
GUIDANCE: a web server for assessing alignment confidence scores
Evaluating the accuracy of multiple sequence alignment (MSA) is critical for virtually every comparative sequence analysis that uses an MSA as input. Here we present the GUIDANCE ...
Osnat Penn, Eyal Privman, Haim Ashkenazy, Giddy La...
BMCBI
2006
117views more  BMCBI 2006»
13 years 4 months ago
Incorporating background frequency improves entropy-based residue conservation measures
Background: Several entropy-based methods have been developed for scoring sequence conservation in protein multiple sequence alignments. High scoring amino acid positions may corr...
Kai Wang, Ram Samudrala