Evidence map›Paper›PMID 31755270›Full record

ArticleJournal of proteome research2020

ThermoRawFileParser: Modular, Scalable, and Cross-Platform RAW File Conversion.

Niels Hulstaert, Jim Shofstahl, Timo Sachsenberg, Mathias Walzer, Harald Barsnes, Lennart Martens, Yasset Perez-Riverol

Abstract read
In one paragraph

Article in Journal of proteome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
128citing papers in PubMed, 2 pooled it
–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

128 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. An AI-Ready Phosphorylation Meta-Analysis forJournal of proteome research · 2026
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  13. A Landscape Analysis of Human SUMOylation.Molecular & cellular proteomics : MCP · 2026
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  15. TheJournal of proteome research · 2026
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68 more citing papers are in PubMed but not listed here.

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.

Niels HulstaertVIB-UGent Center for Medical Biotechnology, VIB , Ghent B-9000 , Belgium.
Jim ShofstahlThermo Fisher Scientific , 355 River Oaks Parkway , San Jose , California 95134 , United States.
Timo SachsenbergApplied Bioinformatics, Department for Computer Science , University of Tuebingen , Sand 14 , 72076 Tuebingen , Germany.
Mathias WalzerEuropean Molecular Biology Laboratory , European Bioinformatics Institute (EMBL-EBI) , Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD , United Kingdom.
Harald BarsnesComputational Biology Unit (CBU), Department of Informatics , University of Bergen , Bergen 5020 , Norway.
Lennart MartensVIB-UGent Center for Medical Biotechnology, VIB , Ghent B-9000 , Belgium.ORCID 0000-0003-4277-658X
Yasset Perez-RiverolEuropean Molecular Biology Laboratory , European Bioinformatics Institute (EMBL-EBI) , Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD , United Kingdom.ORCID 0000-0001-6579-6941

Funding

Biotechnology and Biological Sciences Research Council BB/P024599/1Wellcome Trust 208391Wellcome Trust 208391/Z/17/Z
6 · The paper itself

Abstract

The field of computational proteomics is approaching the big data age, driven both by a continuous growth in the number of samples analyzed per experiment as well as by the growing amount of data obtained in each analytical run. In order to process these large amounts of data, it is increasingly necessary to use elastic compute resources such as Linux-based cluster environments and cloud infrastructures. Unfortunately, the vast majority of cross-platform proteomics tools are not able to operate directly on the proprietary formats generated by the diverse mass spectrometers. Here, we present ThermoRawFileParser, an open-source, cross-platform tool that converts Thermo RAW files into open file formats such as MGF and the HUPO-PSI standard file format mzML. To ensure the broadest possible availability and to increase integration capabilities with popular workflow systems such as Galaxy or Nextflow, we have also built Conda package and BioContainers container around ThermoRawFileParser. In addition, we implemented a user-friendly interface (ThermoRawFileParserGUI) for those users not familiar with command-line tools. Finally, we performed a benchmark of ThermoRawFileParser and msconvert to verify that the converted mzML files contain reliable quantitative results.

Indexed as

SoftwareComputational BiologyDatabases, ProteinProteomicsSaccharomyces cerevisiae ProteinsWorkflowSaccharomyces cerevisiae Proteinsbig databioinformaticscloudfile formatsmass spectrometrymetadatamzMLopen sourcesoftwareworkflows

Identifiers

PMID31755270
PMCPMC7116465

What OpenQuestion holds

Textmetadata
LicenceTDM
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.