Evidence map›Paper›PMID 17087823›Full record

ArticleBMC bioinformatics2006

XML schemas for common bioinformatic data types and their application in workflow systems.

Philipp N Seibel, Jan Krüger, Sven Hartmeier, Knut Schwarzer, Kai Löwenthal, Henning Mersch, Thomas Dandekar, Robert Giegerich

Abstract read
In one paragraph

Article in BMC bioinformatics, 2006. 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.

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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

8 authors.

Philipp N SeibelDepartment of Bioinformatics, Biocenter, University of Würzburg, Würzburg, Germany. philipp.seibel@biozentrum.uni-wuerzburg.de <philipp.seibel@biozentrum.uni-wuerzburg.de>
Jan Krüger
Sven Hartmeier
Knut Schwarzer
Kai Löwenthal
Henning Mersch
Thomas Dandekar
Robert Giegerich

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundToday, there is a growing need in bioinformatics to combine available software tools into chains, thus building complex applications from existing single-task tools. To create such workflows, the tools involved have to be able to work with each other's data--therefore, a common set of well-defined data formats is needed. Unfortunately, current bioinformatic tools use a great variety of heterogeneous formats.

resultsAcknowledging the need for common formats, the Helmholtz Open BioInformatics Technology network (HOBIT) identified several basic data types used in bioinformatics and developed appropriate format descriptions, formally defined by XML schemas, and incorporated them in a Java library (BioDOM). These schemas currently cover sequence, sequence alignment, RNA secondary structure and RNA secondary structure alignment formats in a form that is independent of any specific program, thus enabling seamless interoperation of different tools. All XML formats are available at http://bioschemas.sourceforge.net, the BioDOM library can be obtained at http://biodom.sourceforge.net.

conclusionThe HOBIT XML schemas and the BioDOM library simplify adding XML support to newly created and existing bioinformatic tools, enabling these tools to interoperate seamlessly in workflow scenarios.

Indexed as

AlgorithmsComputational BiologyComputer GraphicsDatabase Management SystemsInformation Storage and RetrievalProgramming LanguagesSequence AlignmentSoftwareSystems IntegrationUser-Computer Interface

Identifiers

PMID17087823
PMCPMC2001303

What OpenQuestion holds

Textmetadata
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.