Proteomics

Dataset Information

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Sipros Ensemble Improves Database Searching and Filtering for Complex Metaproteomics

ABSTRACT: Complex microbial communities can be characterized by metagenomics and metaproteomics. However, metagenome assemblies often generate enormous, and yet incomplete, protein databases, which undermines the identification of peptides and proteins in metaproteomics. This challenge calls for increased discrimination of target identifications from decoy identifications by database searching and filtering algorithms in metaproteomics. Sipros Ensemble was developed here for metaproteomics using an ensemble approach to addressing this challenge.

INSTRUMENT(S):

ORGANISM(S): Escherichia Coli

SUBMITTER: Zhou Li  

LAB HEAD: Chongle Pan

PROVIDER: PXD007587 | Pride | 2018-02-09

REPOSITORIES: Pride

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Dataset's files

Source:
Action DRS
Angelo_08202013_P1_3040cm_MB_FASP_Elite_Run.pep.txt Txt
Angelo_08202013_P1_3040cm_MB_FASP_Elite_Run.pro.txt Txt
Angelo_08202013_P1_3040cm_MB_FASP_Elite_Run.pro2pep.txt Txt
Angelo_08202013_P1_3040cm_MB_FASP_Elite_Run.pro2psm.txt Txt
Angelo_08202013_P1_3040cm_MB_FASP_Elite_Run.psm.txt Txt
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Publications

Sipros Ensemble improves database searching and filtering for complex metaproteomics.

Guo Xuan X   Li Zhou Z   Yao Qiuming Q   Mueller Ryan S RS   Eng Jimmy K JK   Tabb David L DL   Hervey William Judson WJ   Pan Chongle C  

Bioinformatics (Oxford, England) 20180301 5

<h4>Motivation</h4>Complex microbial communities can be characterized by metagenomics and metaproteomics. However, metagenome assemblies often generate enormous, and yet incomplete, protein databases, which undermines the identification of peptides and proteins in metaproteomics. This challenge calls for increased discrimination of true identifications from false identifications by database searching and filtering algorithms in metaproteomics.<h4>Results</h4>Sipros Ensemble was developed here fo  ...[more]

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