Literature DB >> 16044462

BAliBASE 3.0: latest developments of the multiple sequence alignment benchmark.

Julie D Thompson1, Patrice Koehl, Raymond Ripp, Olivier Poch.   

Abstract

Multiple sequence alignment is one of the cornerstones of modern molecular biology. It is used to identify conserved motifs, to determine protein domains, in 2D/3D structure prediction by homology and in evolutionary studies. Recently, high-throughput technologies such as genome sequencing and structural proteomics have lead to an explosion in the amount of sequence and structure information available. In response, several new multiple alignment methods have been developed that improve both the efficiency and the quality of protein alignments. Consequently, the benchmarks used to evaluate and compare these methods must also evolve. We present here the latest release of the most widely used multiple alignment benchmark, BAliBASE, which provides high quality, manually refined, reference alignments based on 3D structural superpositions. Version 3.0 of BAliBASE includes new, more challenging test cases, representing the real problems encountered when aligning large sets of complex sequences. Using a novel, semiautomatic update protocol, the number of protein families in the benchmark has been increased and representative test cases are now available that cover most of the protein fold space. The total number of proteins in BAliBASE has also been significantly increased from 1444 to 6255 sequences. In addition, full-length sequences are now provided for all test cases, which represent difficult cases for both global and local alignment programs. Finally, the BAliBASE Web site (http://www-bio3d-igbmc.u-strasbg.fr/balibase) has been completely redesigned to provide a more user-friendly, interactive interface for the visualization of the BAliBASE reference alignments and the associated annotations. (c) 2005 Wiley-Liss, Inc.

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Year:  2005        PMID: 16044462     DOI: 10.1002/prot.20527

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  125 in total

1.  MTRAP: pairwise sequence alignment algorithm by a new measure based on transition probability between two consecutive pairs of residues.

Authors:  Toshihide Hara; Keiko Sato; Masanori Ohya
Journal:  BMC Bioinformatics       Date:  2010-05-08       Impact factor: 3.169

2.  MSACompro: protein multiple sequence alignment using predicted secondary structure, solvent accessibility, and residue-residue contacts.

Authors:  Xin Deng; Jianlin Cheng
Journal:  BMC Bioinformatics       Date:  2011-12-14       Impact factor: 3.169

3.  Using the T-Coffee package to build multiple sequence alignments of protein, RNA, DNA sequences and 3D structures.

Authors:  Jean-Francois Taly; Cedrik Magis; Giovanni Bussotti; Jia-Ming Chang; Paolo Di Tommaso; Ionas Erb; Jose Espinosa-Carrasco; Carsten Kemena; Cedric Notredame
Journal:  Nat Protoc       Date:  2011-11       Impact factor: 13.491

4.  On the accuracy of homology modeling and sequence alignment methods applied to membrane proteins.

Authors:  Lucy R Forrest; Christopher L Tang; Barry Honig
Journal:  Biophys J       Date:  2006-04-28       Impact factor: 4.033

Review 5.  Taking the first steps towards a standard for reporting on phylogenies: Minimum Information About a Phylogenetic Analysis (MIAPA).

Authors:  Jim Leebens-Mack; Todd Vision; Eric Brenner; John E Bowers; Steven Cannon; Mark J Clement; Clifford W Cunningham; Claude dePamphilis; Rob deSalle; Jeff J Doyle; Jonathan A Eisen; Xun Gu; John Harshman; Robert K Jansen; Elizabeth A Kellogg; Eugene V Koonin; Brent D Mishler; Hervé Philippe; J Chris Pires; Yin-Long Qiu; Seung Y Rhee; Kimmen Sjölander; Douglas E Soltis; Pamela S Soltis; Dennis W Stevenson; Kerr Wall; Tandy Warnow; Christian Zmasek
Journal:  OMICS       Date:  2006

6.  Knowledge-based expert systems and a proof-of-concept case study for multiple sequence alignment construction and analysis.

Authors:  Mohamed Radhouene Aniba; Sophie Siguenza; Anne Friedrich; Frédéric Plewniak; Olivier Poch; Aron Marchler-Bauer; Julie Dawn Thompson
Journal:  Brief Bioinform       Date:  2008-10-29       Impact factor: 11.622

7.  An alignment confidence score capturing robustness to guide tree uncertainty.

Authors:  Osnat Penn; Eyal Privman; Giddy Landan; Dan Graur; Tal Pupko
Journal:  Mol Biol Evol       Date:  2010-03-05       Impact factor: 16.240

8.  Improving accuracy of multiple sequence alignment algorithms based on alignment of neighboring residues.

Authors:  Yue Lu; Sing-Hoi Sze
Journal:  Nucleic Acids Res       Date:  2008-12-04       Impact factor: 16.971

9.  Kalign2: high-performance multiple alignment of protein and nucleotide sequences allowing external features.

Authors:  Timo Lassmann; Oliver Frings; Erik L L Sonnhammer
Journal:  Nucleic Acids Res       Date:  2008-12-22       Impact factor: 16.971

10.  Reproducing the manual annotation of multiple sequence alignments using a SVM classifier.

Authors:  Christian Blouin; Scott Perry; Allan Lavell; Edward Susko; Andrew J Roger
Journal:  Bioinformatics       Date:  2009-09-21       Impact factor: 6.937

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