Evidence map›Paper›PMID 24972831›Full record

ArticleNucleic acids research2014

SARA-Coffee web server, a tool for the computation of RNA sequence and structure multiple alignments.

Paolo Di Tommaso, Giovanni Bussotti, Carsten Kemena, Emidio Capriotti, Maria Chatzou, Pablo Prieto, Cedric Notredame

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Paolo Di TommasoComparative Bioinformatics, Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), Dr Aiguader 88, 08003 Barcelona, Spain Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain.
Giovanni BussottiEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Carsten KemenaEvolutionary Bioinformatics Group, Institute for Evolution and Biodiversity, University of Münster, Hüfferstraße 1, 48145 Münster, Germany.
Emidio CapriottiDivision of Informatics, Department of Pathology, University of Alabama at Birmingham, 35249 Birmingham (AL), USA.
Maria ChatzouComparative Bioinformatics, Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), Dr Aiguader 88, 08003 Barcelona, Spain Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain.
Pablo PrietoComparative Bioinformatics, Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), Dr Aiguader 88, 08003 Barcelona, Spain Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain.
Cedric NotredameComparative Bioinformatics, Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), Dr Aiguader 88, 08003 Barcelona, Spain Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain cedric.notredame@crg.eu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article introduces the SARA-Coffee web server; a service allowing the online computation of 3D structure based multiple RNA sequence alignments. The server makes it possible to combine sequences with and without known 3D structures. Given a set of sequences SARA-Coffee outputs a multiple sequence alignment along with a reliability index for every sequence, column and aligned residue. SARA-Coffee combines SARA, a pairwise structural RNA aligner with the R-Coffee multiple RNA aligner in a way that has been shown to improve alignment accuracy over most sequence aligners when enough structural data is available. The server can be accessed from http://tcoffee.crg.cat/apps/tcoffee/do:saracoffee.

Indexed as

SoftwareAlgorithmsInternetNucleic Acid ConformationRNASequence AlignmentSequence Analysis, RNARNA

Identifiers

PMID24972831
PMCPMC4086076

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.