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PIONEER: Pipeline for Generating High-Quality Spectral Libraries for DIA-MS Data.
Manda, Srikanth S; Noor, Zainab; Hains, Peter G; Zhong, Qing.
Afiliação
  • Manda SS; ProCan®, Children's Medical Research Institute, Faculty of Medicine and Health, The University of Sydney, Westmead, New South Wales, Australia.
  • Noor Z; ProCan®, Children's Medical Research Institute, Faculty of Medicine and Health, The University of Sydney, Westmead, New South Wales, Australia.
  • Hains PG; ProCan®, Children's Medical Research Institute, Faculty of Medicine and Health, The University of Sydney, Westmead, New South Wales, Australia.
  • Zhong Q; ProCan®, Children's Medical Research Institute, Faculty of Medicine and Health, The University of Sydney, Westmead, New South Wales, Australia.
Curr Protoc ; 1(3): e69, 2021 Mar.
Article em En | MEDLINE | ID: mdl-33656278
ABSTRACT
Data-independent-acquisition mass spectrometry (DIA-MS) is a state-of-the-art proteomic technique for high-throughput identification and quantification of peptides and proteins. Interpretation of DIA-MS data relies on the use of a spectral library, which is optimally created from data acquired from the same samples in data-dependent acquisition (DDA) mode. As DIA-MS quantification relies on the spectral libraries, having a high-quality, non-redundant, and comprehensive spectral library is essential. This article describes the major steps for creating a high-quality spectral library using a combination of multiple complementary search engines. We discuss appropriate strategies to control the false discovery rate for the final spectral library as a result of merging multiple searches. © 2021 The Authors Current Protocols © 2021 Wiley Periodicals LLC. Basic Protocol 1 Searching DDA-MS files with multiple search engines Basic Protocol 2 Merging results from multiple search engines Basic Protocol 3 Creating spectral libraries from merged results Alternate Protocol Using CLI for automating tasks Support Protocol Creating concatenated FASTA files.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptídeos / Proteômica Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptídeos / Proteômica Idioma: En Ano de publicação: 2021 Tipo de documento: Article