10.1002/cpz1.69
https://zenodo.org/records/5163018
oai:zenodo.org:5163018
Manda, S.
S.
Manda
ProCan®, Children's Medical Research Institute, Faculty of Medicine and Health, TheUniversity of Sydney, Westmead, New South Wales, Australia
Noor, Z.
Z.
Noor
ProCan®, Children's Medical Research Institute, Faculty of Medicine and Health, TheUniversity of Sydney, Westmead, New South Wales, Australia
Hains, P.
P.
Hains
ProCan®, Children's Medical Research Institute, Faculty of Medicine and Health, TheUniversity of Sydney, Westmead, New South Wales, Australia
Zhong, Q.
Q.
Zhong
ProCan®, Children's Medical Research Institute, Faculty of Medicine and Health, TheUniversity of Sydney, Westmead, New South Wales, Australia
PIONEER: Pipeline for Generating High-Quality Spectral Libraries for DIA-MS Data
Zenodo
2021
2021-03-03
eng
https://zenodo.org/communities/ipc
https://zenodo.org/communities/eu
Creative Commons Attribution 4.0 International
Data-independent-acquisition mass spectrometry (DIA-MS) is a state-of-theart 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.
European Commission
10.13039/501100000780
826121
individualizedPaediatricCure: Cloud-based virtual-patient models for precision paediatric oncology