Evidence map›Paper›PMID 26658470›Full record

ArticleNature protocols2016

Integrated analysis of shotgun proteomic data with PatternLab for proteomics 4.0.

Paulo C Carvalho, Diogo B Lima, Felipe V Leprevost, Marlon D M Santos, Juliana S G Fischer, Priscila F Aquino, James J Moresco, John R Yates, Valmir C Barbosa

Abstract read
In one paragraph

Article in Nature protocols, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers.

0numbers the graph read from it
0cells of the map it votes in
112citing 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

112 citing papers in PubMed.

  1. Trial
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  9. Core-sheath coupling controls flagellar curvature and motility inbioRxiv : the preprint server for biology · 2026
    Article
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  11. Journal of proteome research · 2025
    Article
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  14. Article
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52 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

9 authors.

Paulo C CarvalhoComputational Mass Spectrometry Group, Carlos Chagas Institute, Fiocruz Paraná, Curitiba, Brazil.
Diogo B LimaComputational Mass Spectrometry Group, Carlos Chagas Institute, Fiocruz Paraná, Curitiba, Brazil.
Felipe V LeprevostComputational Mass Spectrometry Group, Carlos Chagas Institute, Fiocruz Paraná, Curitiba, Brazil.ORCID http://orcid.org/0000-0002-8228-5374
Marlon D M SantosComputational Mass Spectrometry Group, Carlos Chagas Institute, Fiocruz Paraná, Curitiba, Brazil.
Juliana S G FischerComputational Mass Spectrometry Group, Carlos Chagas Institute, Fiocruz Paraná, Curitiba, Brazil.
Priscila F AquinoLeonidas e Maria Deane Institute, Fiocruz Amazonas, Manaus, Brazil.
James J MorescoLaboratory for Biological Mass Spectrometry, The Scripps Research Institute, La Jolla, California, USA.
John R YatesLaboratory for Biological Mass Spectrometry, The Scripps Research Institute, La Jolla, California, USA.ORCID http://orcid.org/0000-0001-5267-1672
Valmir C BarbosaSystems Engineering and Computer Science Program, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0003-1010-7170

Funding

ZDS2P REGULATES SWE1P-DEPENDENT POLARIZED CELL GROWTH IN S CEREVISIAEP41RR011823 · NCRR · UNIVERSITY OF WASHINGTON · PI DAVIS, TRACY · 1996 to 2011
$24.7M
TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2021
$20.7M
Proteogenetics of Autism Spectrum DisordersR01MH100175 · NIMH · SCRIPPS RESEARCH INSTITUTE, THE · PI MUOTRI, ALYSSON R., YATES III, JOHN R · 2013 to 2025
$7.4M
Quantitative Proteome Analysis of Brain DevelopmentR01MH067880 · NIMH · SCRIPPS RESEARCH INSTITUTE, THE · PI YATES III, JOHN R · 2003 to 2017
$7.1M
NCRR NIH HHS 5P41RR011823NCRR NIH HHS P41 RR011823NHLBI NIH HHS HHSN268201000035CNIGMS NIH HHS 8 P41 GM103533NIGMS NIH HHS P41 GM103533NIMH NIH HHS R01 MH067880NIMH NIH HHS R01 MH100175
6 · The paper itself

Abstract

PatternLab for proteomics is an integrated computational environment that unifies several previously published modules for the analysis of shotgun proteomic data. The contained modules allow for formatting of sequence databases, peptide spectrum matching, statistical filtering and data organization, extracting quantitative information from label-free and chemically labeled data, and analyzing statistics for differential proteomics. PatternLab also has modules to perform similarity-driven studies with de novo sequencing data, to evaluate time-course experiments and to highlight the biological significance of data with regard to the Gene Ontology database. The PatternLab for proteomics 4.0 package brings together all of these modules in a self-contained software environment, which allows for complete proteomic data analysis and the display of results in a variety of graphical formats. All updates to PatternLab, including new features, have been previously tested on millions of mass spectra. PatternLab is easy to install, and it is freely available from http://patternlabforproteomics.org.

Indexed as

SoftwareSystems IntegrationDatabases, ProteinHumansPeptidesProtein Processing, Post-TranslationalProteomicsTandem Mass SpectrometryTime FactorsPeptides

Identifiers

PMID26658470
PMCPMC5722229

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.