Literature DB >> 23305951

ProteoCloud: a full-featured open source proteomics cloud computing pipeline.

Thilo Muth1, Julian Peters, Jonathan Blackburn, Erdmann Rapp, Lennart Martens.   

Abstract

We here present the ProteoCloud pipeline, a freely available, full-featured cloud-based platform to perform computationally intensive, exhaustive searches in a cloud environment using five different peptide identification algorithms. ProteoCloud is entirely open source, and is built around an easy to use and cross-platform software client with a rich graphical user interface. This client allows full control of the number of cloud instances to initiate and of the spectra to assign for identification. It also enables the user to track progress, and to visualize and interpret the results in detail. Source code, binaries and documentation are all available at http://proteocloud.googlecode.com.
Copyright © 2012 Elsevier B.V. All rights reserved.

Keywords:  Bioinformatics; Cloud computing; MS; MS/MS; Mass spectrometry; Proteomics; Search algorithms; mass spectrometry; tandem mass spectrometry

Mesh:

Year:  2013        PMID: 23305951     DOI: 10.1016/j.jprot.2012.12.026

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  4 in total

1.  Processing shotgun proteomics data on the Amazon cloud with the trans-proteomic pipeline.

Authors:  Joseph Slagel; Luis Mendoza; David Shteynberg; Eric W Deutsch; Robert L Moritz
Journal:  Mol Cell Proteomics       Date:  2014-11-23       Impact factor: 5.911

2.  Advanced Multidimensional Separations in Mass Spectrometry: Navigating the Big Data Deluge.

Authors:  Jody C May; John A McLean
Journal:  Annu Rev Anal Chem (Palo Alto Calif)       Date:  2016-03-30       Impact factor: 10.745

Review 3.  Next generation distributed computing for cancer research.

Authors:  Pankaj Agarwal; Kouros Owzar
Journal:  Cancer Inform       Date:  2015-04-27

4.  Eleven quick tips for architecting biomedical informatics workflows with cloud computing.

Authors:  Brian S Cole; Jason H Moore
Journal:  PLoS Comput Biol       Date:  2018-03-29       Impact factor: 4.475

  4 in total

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