Proteomics

Dataset Information

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DeMix:efficient identification of co-fragmented peptides


ABSTRACT: A data analysis workflow with a simple deconvolution method based on high resolution data-dependent tandem mass spectrometry.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Hela Cell

SUBMITTER: Bo Zhang  

LAB HEAD: Roman A. Zubarev

PROVIDER: PXD000999 | Pride | 2014-08-14

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
20131106_Q2_SDC_120MIN_HELA1.raw Raw
20131106_Q2_SDC_120MIN_HELA2.raw Raw
20131106_Q2_SDC_120MIN_HELA3.raw Raw
20131202_hela1_120min_131202214433.raw Raw
20131202_hela1_120min_2MZ.raw Raw
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Publications

DeMix workflow for efficient identification of cofragmented peptides in high resolution data-dependent tandem mass spectrometry.

Zhang Bo B   Pirmoradian Mohammad M   Chernobrovkin Alexey A   Zubarev Roman A RA  

Molecular & cellular proteomics : MCP 20140806 11


Based on conventional data-dependent acquisition strategy of shotgun proteomics, we present a new workflow DeMix, which significantly increases the efficiency of peptide identification for in-depth shotgun analysis of complex proteomes. Capitalizing on the high resolution and mass accuracy of Orbitrap-based tandem mass spectrometry, we developed a simple deconvolution method of "cloning" chimeric tandem spectra for cofragmented peptides. Additional to a database search, a simple rescoring scheme  ...[more]

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