Evidence map›Paper›PMID 20823319›Full record

ArticleBioinformatics (Oxford, England)2010

BioXSD: the common data-exchange format for everyday bioinformatics web services.

Matús Kalas, Pål Puntervoll, Alexandre Joseph, Edita Bartaseviciūte, Armin Töpfer, Prabakar Venkataraman, Steve Pettifer, Jan Christian Bryne, Jon Ison, Christophe Blanchet and 2 more

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

12 citing papers in PubMed.

  1. Article
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  6. Review
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  12. ViennaRNA Package 2.0.Algorithms for molecular biology : AMB · 2011
    Article
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

12 authors.

Matús KalasBergen Center for Computational Science, Uni Research, Bergen, Norway. matus.kalas@bccs.uib.no
Pål Puntervoll
Alexandre Joseph
Edita Bartaseviciūte
Armin Töpfer
Prabakar Venkataraman
Steve Pettifer
Jan Christian Bryne
Jon Ison
Christophe Blanchet
Kristoffer Rapacki
Inge Jonassen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationThe world-wide community of life scientists has access to a large number of public bioinformatics databases and tools, which are developed and deployed using diverse technologies and designs. More and more of the resources offer programmatic web-service interface. However, efficient use of the resources is hampered by the lack of widely used, standard data-exchange formats for the basic, everyday bioinformatics data types.

resultsBioXSD has been developed as a candidate for standard, canonical exchange format for basic bioinformatics data. BioXSD is represented by a dedicated XML Schema and defines syntax for biological sequences, sequence annotations, alignments and references to resources. We have adapted a set of web services to use BioXSD as the input and output format, and implemented a test-case workflow. This demonstrates that the approach is feasible and provides smooth interoperability. Semantics for BioXSD is provided by annotation with the EDAM ontology. We discuss in a separate section how BioXSD relates to other initiatives and approaches, including existing standards and the Semantic Web. AVAILABILITY: The BioXSD 1.0 XML Schema is freely available at http://www.bioxsd.org/BioXSD-1.0.xsd under the Creative Commons BY-ND 3.0 license. The http://bioxsd.org web page offers documentation, examples of data in BioXSD format, example workflows with source codes in common programming languages, an updated list of compatible web services and tools and a repository of feature requests from the community.

Indexed as

Information Storage and RetrievalInternetProgramming LanguagesAmino Acid SequenceComputational BiologyMolecular Sequence DataSemanticsSoftwareWorkflow

Identifiers

PMID20823319
PMCPMC2935419

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.