R-Coffee: a web server for accurately aligning noncoding RNA sequences
Open Access
- 15 May 2008
- journal article
- research article
- Published by Oxford University Press (OUP) in Nucleic Acids Research
- Vol. 36 (Web Server) , W10-W13
- https://doi.org/10.1093/nar/gkn278
Abstract
The R-Coffee web server produces highly accurate multiple alignments of noncoding RNA (ncRNA) sequences, taking into account predicted secondary structures. R-Coffee uses a novel algorithm recently incorporated in the T-Coffee package. R-Coffee works along the same lines as T-Coffee: it uses pairwise or multiple sequence alignment (MSA) methods to compute a primary library of input alignments. The program then computes an MSA highly consistent with both the alignments contained in the library and the secondary structures associated with the sequences. The secondary structures are predicted using RNAplfold. The server provides two modes. The slow/accurate mode is restricted to small datasets (less than 5 sequences less than 150 nucleotides) and combines R-Coffee with Consan, a very accurate pairwise RNA alignment method. For larger datasets a fast method can be used (RM-Coffee mode), that uses R-Coffee to combine the output of the three packages which combines the outputs from programs found to perform best on RNA (MUSCLE, MAFFT and ProbConsRNA). Our BRAliBase benchmarks indicate that the R-Coffee/Consan combination is one of the best ncRNA alignment methods for short sequences, while the RM-Coffee gives comparable results on longer sequences. The R-Coffee web server is available at http://www.tcoffee.org .Keywords
This publication has 26 references indexed in Scilit:
- R-Coffee: a method for multiple alignment of non-coding RNANucleic Acids Research, 2008
- Recent Evolutions of Multiple Sequence Alignment AlgorithmsPLoS Computational Biology, 2007
- RNA Sampler: a new sampling based algorithm for common RNA secondary structure prediction and structural alignmentBioinformatics, 2007
- Inferring Noncoding RNA Families and Classes by Means of Genome-Scale Structure-Based ClusteringPLoS Computational Biology, 2007
- Exploring genomic dark matter: A critical assessment of the performance of homology search methods on noncoding RNAGenome Research, 2006
- Expresso: automatic incorporation of structural information in multiple sequence alignments using 3D-CoffeeNucleic Acids Research, 2006
- MAFFT version 5: improvement in accuracy of multiple sequence alignmentNucleic Acids Research, 2005
- MUSCLE: multiple sequence alignment with high accuracy and high throughputNucleic Acids Research, 2004
- T-coffee: a novel method for fast and accurate multiple sequence alignment 1 1Edited by J. ThorntonJournal of Molecular Biology, 2000
- A general method applicable to the search for similarities in the amino acid sequence of two proteinsJournal of Molecular Biology, 1970