Evidence map›Paper›PMID 26282399›Full record

ArticleBiology direct2015

Experiences with workflows for automating data-intensive bioinformatics.

Ola Spjuth, Erik Bongcam-Rudloff, Guillermo Carrasco Hernández, Lukas Forer, Mario Giovacchini, Roman Valls Guimera, Aleksi Kallio, Eija Korpelainen, Maciej M Kańduła, Milko Krachunov and 8 more

Abstract read
In one paragraph

Article in Biology direct, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Integrated data-driven biotechnology research environments.Database : the journal of biological databases and curation · 2025
    Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Pre-exascale HPC approaches for molecular dynamics simulations. Covid-19 research: A use case.Wiley interdisciplinary reviews. Computational molecular science · 2022
    Article
  7. Review
  8. Article
  9. Article
  10. Single-cell technologies in reproductive immunology.American journal of reproductive immunology (New York, N.Y. : 1989) · 2019
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. A review of bioinformatic pipeline frameworks.Briefings in bioinformatics · 2017
    Review
  19. Review
  20. 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

18 authors.

Ola SpjuthDepartment of Pharmaceutical Biosciences and Science for Life Laboratory, Uppsala University, SE-75124, Uppsala, P.O. Box 591, Sweden. ola.spjuth@farmbio.uu.se.
Erik Bongcam-RudloffSLU-Global Bioinformatics Centre, Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden. Erik.Bongcam@slu.se.
Guillermo Carrasco HernándezScience for Life Laboratory, Karolinska Institutet, SE-17121, Stockholm, P.O. Box 1031, Sweden. guillermo.carrasco@scilifelab.se.
Lukas ForerDivision of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, 6020, Austria. lukas.forer@i-med.ac.at.
Mario GiovacchiniScience for Life Laboratory, Karolinska Institutet, SE-17121, Stockholm, P.O. Box 1031, Sweden. mario.giovacchini@scilifelab.se.
Roman Valls GuimeraScience for Life Laboratory, Karolinska Institutet, SE-17121, Stockholm, P.O. Box 1031, Sweden. brainstorm@nopcode.org.
Aleksi KallioCSC - IT Center for Science Ltd., FI-02101, Espoo, P.O. Box 405, Finland. aleksi.kallio@csc.fi.
Eija KorpelainenCSC - IT Center for Science Ltd., FI-02101, Espoo, P.O. Box 405, Finland. eija.korpelainen@csc.fi.
Maciej M KańdułaChair of Bioinformatics Research Group, Boku University, Vienna, Austria. maciej.kandula@boku.ac.at.
Milko KrachunovFaculty of Mathematics and Informatics, Sofia University, Sofia, Bulgaria. wfxp@milko.3mhz.net.
David P KreilChair of Bioinformatics Research Group, Boku University, Vienna, Austria. david.kreil@boku.ac.at.
Ognyan KulevFaculty of Mathematics and Informatics, Sofia University, Sofia, Bulgaria. okulev@fmi.uni-sofia.bg.
Paweł P ŁabajChair of Bioinformatics Research Group, Boku University, Vienna, Austria. pawel.labaj@boku.ac.at.
Samuel LampaDepartment of Pharmaceutical Biosciences and Science for Life Laboratory, Uppsala University, SE-75124, Uppsala, P.O. Box 591, Sweden. samuel.lampa@it.uu.se.
Luca PiredduCRS4 Polaris, Pula, Italy. luca.pireddu@crs4.it.
Sebastian SchönherrDivision of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, 6020, Austria. sebastian.schoenherr@i-med.ac.at.
Alexey SiretskiyDepartment of Information Technology, Uppsala University, SE-75105, Uppsala, P.O. Box 337, Sweden. alexey.siretskiy@it.uu.se.
Dimitar VassilevAgroBioInstitute and Joint Genomic Centre, Sofia, Bulgaria. jim6329@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput technologies, such as next-generation sequencing, have turned molecular biology into a data-intensive discipline, requiring bioinformaticians to use high-performance computing resources and carry out data management and analysis tasks on large scale. Workflow systems can be useful to simplify construction of analysis pipelines that automate tasks, support reproducibility and provide measures for fault-tolerance. However, workflow systems can incur significant development and administration overhead so bioinformatics pipelines are often still built without them. We present the experiences with workflows and workflow systems within the bioinformatics community participating in a series of hackathons and workshops of the EU COST action SeqAhead. The organizations are working on similar problems, but we have addressed them with different strategies and solutions. This fragmentation of efforts is inefficient and leads to redundant and incompatible solutions. Based on our experiences we define a set of recommendations for future systems to enable efficient yet simple bioinformatics workflow construction and execution.

Indexed as

WorkflowComputational BiologyElectronic Data ProcessingHigh-Throughput Nucleotide SequencingReproducibility of Results

Identifiers

PMID26282399
PMCPMC4539931

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.