Literature DB >> 31429284

One Thousand and One Software for Proteomics: Tales of the Toolmakers of Science.

Vasileios Tsiamis1, Hans-Ioan Ienasescu, Dovydas Gabrielaitis, Magnus Palmblad2, Veit Schwämmle1, Jon Ison.   

Abstract

Proteomics is a highly dynamic field driven by frequent introduction of new technological approaches, leading to high demand for new software tools and the concurrent development of many methods for data analysis, processing, and storage. The rapidly changing landscape of proteomics software makes finding a tool fit for a particular purpose a significant challenge. The comparison of software and the selection of tools capable to perform a certain operation on a given type of data rely on their detailed annotation using well-defined descriptors. However, finding accurate information including tool input/output capabilities can be challenging and often heavily depends on manual curation efforts. This is further hampered by a rather low half-life of most of the tools, thus demanding the maintenance of a resource with updated information about the tools. We present here our approach to curate a collection of 189 software tools with detailed information about their functional capabilities. We furthermore describe our efforts to reach out to the proteomics community for their engagement, which further increased the catalog to >750 tools being about 70% of the estimated number of 1097 tools existing for proteomics data analysis. Descriptions of all annotated tools are available at  https://proteomics.bio.tools.

Keywords:  annotations; catalog; collection; community; curation; data analysis; descriptions; developers; registry; software tools

Mesh:

Year:  2019        PMID: 31429284     DOI: 10.1021/acs.jproteome.9b00219

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  8 in total

Review 1.  The emerging role of mass spectrometry-based proteomics in drug discovery.

Authors:  Felix Meissner; Jennifer Geddes-McAlister; Matthias Mann; Marcus Bantscheff
Journal:  Nat Rev Drug Discov       Date:  2022-03-29       Impact factor: 112.288

2.  Cloudy with a Chance of Peptides: Accessibility, Scalability, and Reproducibility with Cloud-Hosted Environments.

Authors:  Benjamin A Neely
Journal:  J Proteome Res       Date:  2021-01-29       Impact factor: 4.466

Review 3.  Low-cost and open-source strategies for chemical separations.

Authors:  Joshua J Davis; Samuel W Foster; James P Grinias
Journal:  J Chromatogr A       Date:  2020-12-24       Impact factor: 4.759

Review 4.  Quick microbial molecular phenotyping by differential shotgun proteomics.

Authors:  Duarte Gouveia; Lucia Grenga; Olivier Pible; Jean Armengaud
Journal:  Environ Microbiol       Date:  2020-03-11       Impact factor: 5.491

5.  biotoolsSchema: a formalized schema for bioinformatics software description.

Authors:  Jon Ison; Hans Ienasescu; Emil Rydza; Piotr Chmura; Kristoffer Rapacki; Alban Gaignard; Veit Schwämmle; Jacques van Helden; Matúš Kalaš; Hervé Ménager
Journal:  Gigascience       Date:  2021-01-27       Impact factor: 6.524

6.  APE in the Wild: Automated Exploration of Proteomics Workflows in the bio.tools Registry.

Authors:  Vedran Kasalica; Veit Schwämmle; Magnus Palmblad; Jon Ison; Anna-Lena Lamprecht
Journal:  J Proteome Res       Date:  2021-03-15       Impact factor: 4.466

Review 7.  Deep learning neural network tools for proteomics.

Authors:  Jesse G Meyer
Journal:  Cell Rep Methods       Date:  2021-05-17

Review 8.  Proteome Discoverer-A Community Enhanced Data Processing Suite for Protein Informatics.

Authors:  Benjamin C Orsburn
Journal:  Proteomes       Date:  2021-03-23
  8 in total

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