Evidence map›Paper›PMID 28520987›Full record

ArticleNucleic acids research2017

ProteoSign: an end-user online differential proteomics statistical analysis platform.

Georgios Efstathiou, Andreas N Antonakis, Georgios A Pavlopoulos, Theodosios Theodosiou, Peter Divanach, David C Trudgian, Benjamin Thomas, Nikolas Papanikolaou, Michalis Aivaliotis, Oreste Acuto and 1 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 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

11 authors.

Georgios EfstathiouMedical School, Division of Basic Sciences, University of Crete, Heraklion 71003, Greece.
Andreas N AntonakisMedical School, Division of Basic Sciences, University of Crete, Heraklion 71003, Greece.
Georgios A PavlopoulosMedical School, Division of Basic Sciences, University of Crete, Heraklion 71003, Greece.
Theodosios TheodosiouMedical School, Division of Basic Sciences, University of Crete, Heraklion 71003, Greece.
Peter DivanachInstitute of Molecular Biology and Biotechnology, FORTH, Heraklion 70013, Greece.
David C TrudgianDepartment of Bioinformatics, UT Southwestern Medical Center, Dallas, TX 75390, USA.
Benjamin ThomasSir William Dunn School of Pathology, University of Oxford, South Parks Road, Oxford OX1 3RE, UK.
Nikolas PapanikolaouMedical School, Division of Basic Sciences, University of Crete, Heraklion 71003, Greece.
Michalis AivaliotisInstitute of Molecular Biology and Biotechnology, FORTH, Heraklion 70013, Greece.
Oreste AcutoSir William Dunn School of Pathology, University of Oxford, South Parks Road, Oxford OX1 3RE, UK.
Ioannis IliopoulosMedical School, Division of Basic Sciences, University of Crete, Heraklion 71003, Greece.

Funding

Wellcome Trust WT094296MA
6 · The paper itself

Abstract

Profiling of proteome dynamics is crucial for understanding cellular behavior in response to intrinsic and extrinsic stimuli and maintenance of homeostasis. Over the last 20 years, mass spectrometry (MS) has emerged as the most powerful tool for large-scale identification and characterization of proteins. Bottom-up proteomics, the most common MS-based proteomics approach, has always been challenging in terms of data management, processing, analysis and visualization, with modern instruments capable of producing several gigabytes of data out of a single experiment. Here, we present ProteoSign, a freely available web application, dedicated in allowing users to perform proteomics differential expression/abundance analysis in a user-friendly and self-explanatory way. Although several non-commercial standalone tools have been developed for post-quantification statistical analysis of proteomics data, most of them are not end-user appealing as they often require very stringent installation of programming environments, third-party software packages and sometimes further scripting or computer programming. To avoid this bottleneck, we have developed a user-friendly software platform accessible via a web interface in order to enable proteomics laboratories and core facilities to statistically analyse quantitative proteomics data sets in a resource-efficient manner. ProteoSign is available at http://bioinformatics.med.uoc.gr/ProteoSign and the source code at https://github.com/yorgodillo/ProteoSign.

Indexed as

SoftwareData Interpretation, StatisticalInternetMass SpectrometryProteomics

Identifiers

PMID28520987
PMCPMC5793730

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.