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Calib-RT: an open source python package for peptide retention time calibration in DIA mass spectrometry data.
Zhang, Yichi; Hu, Chenghui; Wu, Xiaohui; Song, Jian.
  • Zhang Y; Pasteurien College, Suzhou Medical College of Soochow University, Soochow University, Suzhou 215000, China.
  • Hu C; Pasteurien College, Suzhou Medical College of Soochow University, Soochow University, Suzhou 215000, China.
  • Wu X; Pasteurien College, Suzhou Medical College of Soochow University, Soochow University, Suzhou 215000, China.
  • Song J; Pasteurien College, Suzhou Medical College of Soochow University, Soochow University, Suzhou 215000, China.
Bioinformatics ; 40(7)2024 Jul 01.
Article en En | MEDLINE | ID: mdl-38960865
ABSTRACT
MOTIVATION The data independent acquisition (DIA) mass spectrometry (MS) method is increasingly popular in the field of proteomics. But the loss of the correspondence between peptide ions and their spectra in DIA makes the identification challenging. One effective approach to reduce false positive identification is to calculate the deviation between the peptide's estimated retention time (RT) and measured RT. During this process, scaling the spectral library RT into the estimated RT, known as the RT calibration, is a prerequisite for calculating the deviation. Currently, within the DIA algorithm ecosystem, there is a lack of engine-independent and readily usable RT calibration toolkits.

RESULTS:

In this work, we introduce Calib-RT, a RT calibration method tailored to the characteristics of RT data. This method can achieve the nonlinear calibration across various data scales and tolerate a certain level of noise interference. Calib-RT is expected to enrich the open source DIA algorithm toolchain and assist in the development of DIA identification algorithms. AVAILABILITY AND IMPLEMENTATION Calib-RT is released as an open source software under the MIT license and can be installed from PyPi as a python module. The source code is available on GitHub at https//github.com/chenghui03/Calib_RT.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Péptidos / Espectrometría de Masas / Algoritmos / Programas Informáticos / Proteómica Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Péptidos / Espectrometría de Masas / Algoritmos / Programas Informáticos / Proteómica Idioma: En Año: 2024 Tipo del documento: Article