Evidence map›Paper›PMID 29385081›Full record

ArticleProteomes2018

Disseminating Metaproteomic Informatics Capabilities and Knowledge Using the Galaxy-P Framework.

Clemens Blank, Caleb Easterly, Bjoern Gruening, James Johnson, Carolin A Kolmeder, Praveen Kumar, Damon May, Subina Mehta, Bart Mesuere, Zachary Brown and 9 more

Abstract read
In one paragraph

Article in Proteomes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 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

19 authors.

Clemens BlankBioinformatics Group, Department of Computer Science, University of Freiburg, 79110 Freiburg im Breisgau, Germany. blankclemens@gmail.com.ORCID 0000-0002-1726-2256
Caleb EasterlyDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA. easte080@umn.edu.
Bjoern GrueningBioinformatics Group, Department of Computer Science, University of Freiburg, 79110 Freiburg im Breisgau, Germany. gruening@informatik.uni-freiburg.de.
James JohnsonMinnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN 55455, USA. jj@umn.edu.
Carolin A KolmederInstitute of Biotechnology, University of Helsinki, 00014 Helsinki, Finland. carolin.kolmeder@helsinki.fi.
Praveen KumarDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA. kumar207@umn.edu.
Damon MayDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA. damonmay@uw.edu.
Subina MehtaDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA. smehta@umn.edu.
Bart MesuereComputational Biology Group, Ghent University, Krijgslaan 281, B-9000 Ghent, Belgium. Bart.Mesuere@ugent.be.ORCID 0000-0003-0610-3441
Zachary BrownDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA. brow4261@umn.edu.
Joshua E EliasDepartment of Chemical & Systems Biology, Stanford University, Stanford, CA 94305, USA. josh.elias@stanford.edu.ORCID 0000-0002-8063-3259
W Judson HerveyCenter for Bio/Molecular Science & Engineering, Naval Research Laboratory, Washington, DC 20375, USA. Judson.Hervey@nrl.navy.mil.ORCID 0000-0003-3285-6754
Thomas McGowanMinnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN 55455, USA. mcgo0092@umn.edu.
Thilo MuthBioinformatics Unit (MF1), Department for Methods Development and Research Infrastructure, Robert Koch Institute, 13353 Berlin, Germany. mcgo0092@umn.edu.
Brook NunnDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA. brookh@uw.edu.ORCID 0000-0002-7361-4359
Joel RudneyDepartment of Diagnostic and Biological Sciences, University of Minnesota, Minneapolis, MN 55455, USA. jrudney@umn.edu.
Alessandro TancaPorto Conte Ricerche Science and Technology Park of Sardinia, 07041 Alghero, Italy. tanca@portocontericerche.it.ORCID 0000-0002-6066-7048
Timothy J GriffinDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA. tgriffin@umn.edu.ORCID 0000-0001-6801-2559
Pratik D JagtapDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA. pjagtap@umn.edu.ORCID 0000-0003-0984-0973

Funding

Expanding multiplexed kinase biosensor analysis to SWATH-MS (Part 2 of 2)U24CA199347 · NCI · UNIVERSITY OF MINNESOTA · PI GRIFFIN, TIMOTHY J. · 2016 to 2019
$2.4M
NCI NIH HHS U24 CA199347
6 · The paper itself

Abstract

The impact of microbial communities, also known as the microbiome, on human health and the environment is receiving increased attention. Studying translated gene products (proteins) and comparing metaproteomic profiles may elucidate how microbiomes respond to specific environmental stimuli, and interact with host organisms. Characterizing proteins expressed by a complex microbiome and interpreting their functional signature requires sophisticated informatics tools and workflows tailored to metaproteomics. Additionally, there is a need to disseminate these informatics resources to researchers undertaking metaproteomic studies, who could use them to make new and important discoveries in microbiome research. The Galaxy for proteomics platform (Galaxy-P) offers an open source, web-based bioinformatics platform for disseminating metaproteomics software and workflows. Within this platform, we have developed easily-accessible and documented metaproteomic software tools and workflows aimed at training researchers in their operation and disseminating the tools for more widespread use. The modular workflows encompass the core requirements of metaproteomic informatics: (a) database generation; (b) peptide spectral matching; (c) taxonomic analysis and (d) functional analysis. Much of the software available via the Galaxy-P platform was selected, packaged and deployed through an online metaproteomics "Contribution Fest" undertaken by a unique consortium of expert software developers and users from the metaproteomics research community, who have co-authored this manuscript. These resources are documented on GitHub and freely available through the Galaxy Toolshed, as well as a publicly accessible metaproteomics gateway Galaxy instance. These documented workflows are well suited for the training of novice metaproteomics researchers, through online resources such as the Galaxy Training Network, as well as hands-on training workshops. Here, we describe the metaproteomics tools available within these Galaxy-based resources, as well as the process by which they were selected and implemented in our community-based work. We hope this description will increase access to and utilization of metaproteomics tools, as well as offer a framework for continued community-based development and dissemination of cutting edge metaproteomics software.

Indexed as

bioinformaticscommunity developmentfunctional microbiomeGalaxy platformmass spectrometrymetaproteomicssoftware workflow development

Identifiers

PMID29385081
PMCPMC5874766

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.