Literature DB >> 25504833

Viewing the proteome: how to visualize proteomics data?

Eystein Oveland1, Thilo Muth, Erdmann Rapp, Lennart Martens, Frode S Berven, Harald Barsnes.   

Abstract

Proteomics has become one of the main approaches for analyzing and understanding biological systems. Yet similar to other high-throughput analysis methods, the presentation of the large amounts of obtained data in easily interpretable ways remains challenging. In this review, we present an overview of the different ways in which proteomics software supports the visualization and interpretation of proteomics data. The unique challenges and current solutions for visualizing the different aspects of proteomics data, from acquired spectra via protein identification and quantification to pathway analysis, are discussed, and examples of the most useful visualization approaches are highlighted. Finally, we offer our ideas about future directions for proteomics data visualization.
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  Bioinformatics; Graphs; Proteome databases; Raw data; Visualization

Mesh:

Substances:

Year:  2015        PMID: 25504833     DOI: 10.1002/pmic.201400412

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  9 in total

1.  Interacting Network of the Gap Junction (GJ) Protein Connexin43 (Cx43) is Modulated by Ischemia and Reperfusion in the Heart.

Authors:  Tania Martins-Marques; Sandra Isabel Anjo; Paulo Pereira; Bruno Manadas; Henrique Girão
Journal:  Mol Cell Proteomics       Date:  2015-08-27       Impact factor: 5.911

2.  CSF-PR 2.0: An Interactive Literature Guide to Quantitative Cerebrospinal Fluid Mass Spectrometry Data from Neurodegenerative Disorders.

Authors:  Astrid Guldbrandsen; Yehia Farag; Ann Cathrine Kroksveen; Eystein Oveland; Ragnhild R Lereim; Jill A Opsahl; Kjell-Morten Myhr; Frode S Berven; Harald Barsnes
Journal:  Mol Cell Proteomics       Date:  2016-11-27       Impact factor: 5.911

3.  PDV: an integrative proteomics data viewer.

Authors:  Kai Li; Marc Vaudel; Bing Zhang; Yan Ren; Bo Wen
Journal:  Bioinformatics       Date:  2019-04-01       Impact factor: 6.937

4.  Integrated web visualizations for protein-protein interaction databases.

Authors:  Fleur Jeanquartier; Claire Jean-Quartier; Andreas Holzinger
Journal:  BMC Bioinformatics       Date:  2015-06-16       Impact factor: 3.169

5.  oxSWATH: An integrative method for a comprehensive redox-centered analysis combined with a generic differential proteomics screening.

Authors:  Sandra I Anjo; Matilde N Melo; Liliana R Loureiro; Lúcia Sabala; Pedro Castanheira; Mário Grãos; Bruno Manadas
Journal:  Redox Biol       Date:  2019-01-30       Impact factor: 11.799

6.  Proteomic analysis reveals novel insights into tanshinones biosynthesis in Salvia miltiorrhiza hairy roots.

Authors:  Angela Contreras; Baptiste Leroy; Pierre-Antoine Mariage; Ruddy Wattiez
Journal:  Sci Rep       Date:  2019-04-08       Impact factor: 4.379

7.  PeptideShaker Online: A User-Friendly Web-Based Framework for the Identification of Mass Spectrometry-Based Proteomics Data.

Authors:  Yehia Mokhtar Farag; Carlos Horro; Marc Vaudel; Harald Barsnes
Journal:  J Proteome Res       Date:  2021-10-28       Impact factor: 4.466

8.  Quantitative Proteomic Analysis of Chikungunya Virus-Infected Aedes aegypti Reveals Proteome Modulations Indicative of Persistent Infection.

Authors:  Yingjun Cui; Pei Liu; Brian P Mooney; Alexander W E Franz
Journal:  J Proteome Res       Date:  2020-05-21       Impact factor: 4.466

Review 9.  Exploring the potential of public proteomics data.

Authors:  Marc Vaudel; Kenneth Verheggen; Attila Csordas; Helge Raeder; Frode S Berven; Lennart Martens; Juan A Vizcaíno; Harald Barsnes
Journal:  Proteomics       Date:  2015-12-15       Impact factor: 3.984

  9 in total

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