Evidence map›Paper›PMID 23482073›Full record

ArticleDatabase : the journal of biological databases and curation2013

The HUPO proteomics standards initiative- mass spectrometry controlled vocabulary.

Gerhard Mayer, Luisa Montecchi-Palazzi, David Ovelleiro, Andrew R Jones, Pierre-Alain Binz, Eric W Deutsch, Matthew Chambers, Marius Kallhardt, Fredrik Levander, James Shofstahl and 7 more

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 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

49 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Communicating Mass Spectrometry Quality Information in mzQC with Python, R, and Java.Journal of the American Society for Mass Spectrometry · 2024
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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

17 authors.

Gerhard MayerMedizinisches Proteom Center (MPC), Ruhr-Universität Bochum, D-44801 Bochum, Germany.
Luisa Montecchi-Palazzi
David Ovelleiro
Andrew R Jones
Pierre-Alain Binz
Eric W Deutsch
Matthew Chambers
Marius Kallhardt
Fredrik Levander
James Shofstahl
Sandra Orchard
Juan Antonio Vizcaíno
Henning Hermjakob
Christian Stephan
Helmut E Meyer
Martin Eisenacher
HUPO-PSI Group

Funding

Quantitative Systems BiologyP50GM076547 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI BALIGA, NITIN S · 2006 to 2016
$30.6M
Shortening the development cycle time of Trans Proteomic Pipeline tools with high performance computingR01GM087221 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DEUTSCH, ERIC, MORITZ, ROBERT L · 2010 to 2021
$6.0M
Biotechnology and Biological Sciences Research Council BB/H024654/1Biotechnology and Biological Sciences Research Council BB/I000909/1Biotechnology and Biological Sciences Research Council BB/I00095X/1NIGMS NIH HHS P50 GM076547NIGMS NIH HHS R01 GM087221Wellcome Trust WT085949MA
6 · The paper itself

Abstract

Controlled vocabularies (CVs), i.e. a collection of predefined terms describing a modeling domain, used for the semantic annotation of data, and ontologies are used in structured data formats and databases to avoid inconsistencies in annotation, to have a unique (and preferably short) accession number and to give researchers and computer algorithms the possibility for more expressive semantic annotation of data. The Human Proteome Organization (HUPO)-Proteomics Standards Initiative (PSI) makes extensive use of ontologies/CVs in their data formats. The PSI-Mass Spectrometry (MS) CV contains all the terms used in the PSI MS-related data standards. The CV contains a logical hierarchical structure to ensure ease of maintenance and the development of software that makes use of complex semantics. The CV contains terms required for a complete description of an MS analysis pipeline used in proteomics, including sample labeling, digestion enzymes, instrumentation parts and parameters, software used for identification and quantification of peptides/proteins and the parameters and scores used to determine their significance. Owing to the range of topics covered by the CV, collaborative development across several PSI working groups, including proteomics research groups, instrument manufacturers and software vendors, was necessary. In this article, we describe the overall structure of the CV, the process by which it has been developed and is maintained and the dependencies on other ontologies. Database URL: http://psidev.cvs.sourceforge.net/viewvc/psidev/psi/psi-ms/mzML/controlledVocabulary/psi-ms.obo.

Indexed as

Vocabulary, ControlledHumansMass SpectrometryProteomeProteomicsReference StandardsStatistics as TopicWorkflowProteome

Identifiers

PMID23482073
PMCPMC3594986

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.