Proteomics

Dataset Information

0

Evaluation of the MPA Portable software performance on analyzing benchmark datasets


ABSTRACT: Within the scope of a technical note we tested our MetaProteomeAnalyzer Portable software workflow on experimental data sets from samples with known composition. For generating a benchmarking data set, the bacterial strains (5BCT) Bacillus subtilis, Escherichia coli, Pseudomonas fluorescens, Micrococcus luteus and Desulfovibrio vulgaris were mixed with a protein ratio of 1:1:1:1:1.

INSTRUMENT(S): LTQ Orbitrap Elite

ORGANISM(S): Desulfovibrio Vulgaris Str. Hildenborough Pseudomonas Fluorescens Escherichia Coli Bacillus Subtilis Micrococcus Luteus (micrococcus Lysodeikticus)

SUBMITTER: Fabian Kohrs  

LAB HEAD: Dr. Dirk Benndorf

PROVIDER: PXD007681 | Pride | 2012-12-13

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
FK_Mischkulturquanti_1_Repl1.mgf Mgf
FK_Mischkulturquanti_1_Repl1.mzid.gz Mzid
FK_Mischkulturquanti_1_Repl1.pride.mgf.gz Mgf
FK_Mischkulturquanti_1_Repl1.raw Raw
FK_Mischkulturquanti_1_Repl2.mgf Mgf
Items per page:
1 - 5 of 12
altmetric image

Publications

MPA Portable: A Stand-Alone Software Package for Analyzing Metaproteome Samples on the Go.

Muth Thilo T   Kohrs Fabian F   Heyer Robert R   Benndorf Dirk D   Rapp Erdmann E   Reichl Udo U   Martens Lennart L   Renard Bernhard Y BY  

Analytical chemistry 20171219 1


Metaproteomics, the mass spectrometry-based analysis of proteins from multispecies samples faces severe challenges concerning data analysis and results interpretation. To overcome these shortcomings, we here introduce the MetaProteomeAnalyzer (MPA) Portable software. In contrast to the original server-based MPA application, this newly developed tool no longer requires computational expertise for installation and is now independent of any relational database system. In addition, MPA Portable now  ...[more]

Similar Datasets

2012-09-24 | E-GEOD-38040 | biostudies-arrayexpress
2010-05-06 | E-GEOD-16596 | biostudies-arrayexpress
2022-07-04 | GSE133862 | GEO
2015-02-06 | E-GEOD-63926 | biostudies-arrayexpress
2012-09-24 | GSE38040 | GEO
2023-10-24 | PXD041922 | Pride
2009-09-01 | GSE16596 | GEO
2019-01-01 | GSE120387 | GEO
| PRJNA1048365 | ENA
| PRJEB18389 | ENA