Format

Send to

Choose Destination
J Biotechnol. 2017 Nov 10;261:116-125. doi: 10.1016/j.jbiotec.2017.06.005. Epub 2017 Jun 9.

BioInfra.Prot: A comprehensive proteomics workflow including data standardization, protein inference, expression analysis and data publication.

Author information

1
Medizinisches Proteom-Center, Ruhr-University Bochum, Bochum, Germany.
2
Medizinisches Proteom-Center, Ruhr-University Bochum, Bochum, Germany; Institute for Virology, University Hospital Essen, University Duisburg-Essen, Essen, Germany.
3
Medizinisches Proteom-Center, Ruhr-University Bochum, Bochum, Germany. Electronic address: martin.eisenacher@ruhr-uni-bochum.de.

Abstract

The analysis of high-throughput mass spectrometry-based proteomics data must address the specific challenges of this technology. To this end, the comprehensive proteomics workflow offered by the de.NBI service center BioInfra.Prot provides indispensable components for the computational and statistical analysis of this kind of data. These components include tools and methods for spectrum identification and protein inference, protein quantification, expression analysis as well as data standardization and data publication. All particular methods of the workflow which address these tasks are state-of-the-art or cutting edge. As has been shown in previous publications, each of these methods is adequate to solve its specific task and gives competitive results. However, the methods included in the workflow are continuously reviewed, updated and improved to adapt to new scientific developments. All of these particular components and methods are available as stand-alone BioInfra.Prot services or as a complete workflow. Since BioInfra.Prot provides manifold fast communication channels to get access to all components of the workflow (e.g., via the BioInfra.Prot ticket system: bioinfraprot@rub.de) users can easily benefit from this service and get support by experts.

KEYWORDS:

Bioinformatics service; Computational proteomics; Health and disease; Mass spectrometry; Workflow; de.NBI

PMID:
28606611
DOI:
10.1016/j.jbiotec.2017.06.005
[Indexed for MEDLINE]
Free full text

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center