Proteomics

Dataset Information

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In-depth Analysis of Protein Inference Algorithms using a Workflow Framework and Well-Defined Metrics - yeast UniProt proteome with isoforms analysis

ABSTRACT: This dataset is no actual new study but the results of the benchmark of the Yeast Gold Dataset used in the manuscript "In-depth Analysis of Protein Inference Algorithms using a Workflow Framework and Well-Defined Metrics".

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Saccharomyces Cerevisiae (baker's Yeast)

SUBMITTER: Julian Uszkoreit  

LAB HEAD: Katrin Marcus

PROVIDER: PXD003067 | Pride | 2016-08-10

REPOSITORIES: Pride

Json Xml

Dataset's files

Source:
Action DRS
000.mzML Mzml
015.mzML Mzml
060.mzML Mzml
900.mzML Mzml
PT_model.txt Txt
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Publications

In-depth analysis of protein inference algorithms using multiple search engines and well-defined metrics.

Audain Enrique E   Uszkoreit Julian J   Sachsenberg Timo T   Pfeuffer Julianus J   Liang Xiao X   Hermjakob Henning H   Sanchez Aniel A   Eisenacher Martin M   Reinert Knut K   Tabb David L DL   Kohlbacher Oliver O   Perez-Riverol Yasset Y  

Journal of proteomics 20160804

In mass spectrometry-based shotgun proteomics, protein identifications are usually the desired result. However, most of the analytical methods are based on the identification of reliable peptides and not the direct identification of intact proteins. Thus, assembling peptides identified from tandem mass spectra into a list of proteins, referred to as protein inference, is a critical step in proteomics research. Currently, different protein inference algorithms and tools are available for the prot  ...[more]

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