Literature DB >> 28606611

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

Michael Turewicz1, Michael Kohl1, Maike Ahrens1, Gerhard Mayer1, Julian Uszkoreit1, Wael Naboulsi1, Thilo Bracht1, Dominik A Megger2, Barbara Sitek1, Katrin Marcus1, Martin Eisenacher3.   

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.
Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

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

Mesh:

Year:  2017        PMID: 28606611     DOI: 10.1016/j.jbiotec.2017.06.005

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  11 in total

1.  Establishing a Custom-Fit Data-Independent Acquisition Method for Label-Free Proteomics.

Authors:  Britta Eggers; Martin Eisenacher; Katrin Marcus; Julian Uszkoreit
Journal:  Methods Mol Biol       Date:  2021

2.  Important Issues in Planning a Proteomics Experiment: Statistical Considerations of Quantitative Proteomic Data.

Authors:  Karin Schork; Katharina Podwojski; Michael Turewicz; Christian Stephan; Martin Eisenacher
Journal:  Methods Mol Biol       Date:  2021

3.  Small RNAs as biomarkers to differentiate benign and malign prostate diseases: An alternative for transrectal punch biopsy of the prostate?

Authors:  Lukas Markert; Jonas Holdmann; Claudia Klinger; Michael Kaufmann; Karin Schork; Michael Turewicz; Martin Eisenacher; Andreas Savelsbergh
Journal:  PLoS One       Date:  2021-03-24       Impact factor: 3.240

4.  Protein variability in cerebrospinal fluid and its possible implications for neurological protein biomarker research.

Authors:  Lukas M Schilde; Steffen Kösters; Simone Steinbach; Karin Schork; Martin Eisenacher; Sara Galozzi; Michael Turewicz; Katalin Barkovits; Brit Mollenhauer; Katrin Marcus; Caroline May
Journal:  PLoS One       Date:  2018-11-29       Impact factor: 3.240

5.  The de.NBI / ELIXIR-DE training platform - Bioinformatics training in Germany and across Europe within ELIXIR.

Authors:  Daniel Wibberg; Bérénice Batut; Peter Belmann; Jochen Blom; Frank Oliver Glöckner; Björn Grüning; Nils Hoffmann; Nils Kleinbölting; René Rahn; Maja Rey; Uwe Scholz; Malvika Sharan; Andreas Tauch; Ulrike Trojahn; Björn Usadel; Oliver Kohlbacher
Journal:  F1000Res       Date:  2019-11-07

6.  The first versatile human iPSC-based model of ectopic virus induction allows new insights in RNA-virus disease.

Authors:  Stefan Peischard; Huyen Tran Ho; Ilaria Piccini; Nathalie Strutz-Seebohm; Albrecht Röpke; Ivan Liashkovich; Hiteshika Gosain; Bettina Rieger; Karin Klingel; Britta Eggers; Katrin Marcus; Wolfgang A Linke; Frank Ulrich Müller; Stephan Ludwig; Boris Greber; Karin Busch; Guiscard Seebohm
Journal:  Sci Rep       Date:  2020-10-08       Impact factor: 4.379

7.  Homozygous expression of the myofibrillar myopathy-associated p.W2710X filamin C variant reveals major pathomechanisms of sarcomeric lesion formation.

Authors:  Julia Schuld; Zacharias Orfanos; Frédéric Chevessier; Britta Eggers; Lorena Heil; Julian Uszkoreit; Andreas Unger; Gregor Kirfel; Peter F M van der Ven; Katrin Marcus; Wolfgang A Linke; Christoph S Clemen; Rolf Schröder; Dieter O Fürst
Journal:  Acta Neuropathol Commun       Date:  2020-09-04       Impact factor: 7.801

8.  MicroRNAs from urinary exosomes as alternative biomarkers in the differentiation of benign and malignant prostate diseases.

Authors:  Jonas Holdmann; Lukas Markert; Claudia Klinger; Michael Kaufmann; Karin Schork; Michael Turewicz; Martin Eisenacher; Stephan Degener; Nici M Dreger; Stephan Roth; Andreas Savelsbergh
Journal:  J Circ Biomark       Date:  2022-02-10

9.  Proceedings of the EuBIC Winter School 2019.

Authors:  Dominik Kopczynski; Wout Bittremieux; David Bouyssié; Viktoria Dorfer; Marie Locard-Paulet; Bart Van Puyvelde; Veit Schwämmle; Alessio Soggiu; Sander Willems; Julian Uszkoreit
Journal:  EuPA Open Proteom       Date:  2019-08-17

Review 10.  The Implementation of Mass Spectrometry-Based Proteomics Workflows in Clinical Routines of Acute Myeloid Leukemia: Applicability and Perspectives.

Authors:  Maria Hernandez-Valladares; Øystein Bruserud; Frode Selheim
Journal:  Int J Mol Sci       Date:  2020-09-17       Impact factor: 5.923

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