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Simulation of mass spectrometry-based proteomics data with Synthedia

MOTIVATION: A large number of experimental and bioinformatic parameters must be set to identify and quantify peptides in mass spectrometry experiments and each of these will impact the results. An ability to simulate raw data with known contents would allow researchers to rapidly explore the effects...

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Autores principales: Leeming, Michael G, Ang, Ching-Seng, Nie, Shuai, Varshney, Swati, Williamson, Nicholas A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825309/
https://www.ncbi.nlm.nih.gov/pubmed/36698761
http://dx.doi.org/10.1093/bioadv/vbac096
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author Leeming, Michael G
Ang, Ching-Seng
Nie, Shuai
Varshney, Swati
Williamson, Nicholas A
author_facet Leeming, Michael G
Ang, Ching-Seng
Nie, Shuai
Varshney, Swati
Williamson, Nicholas A
author_sort Leeming, Michael G
collection PubMed
description MOTIVATION: A large number of experimental and bioinformatic parameters must be set to identify and quantify peptides in mass spectrometry experiments and each of these will impact the results. An ability to simulate raw data with known contents would allow researchers to rapidly explore the effects of varying experimental parameters and systematically investigate downstream processing software. A range of data simulators are available for established data-dependent acquisition methodologies, but these do not extend to the rapidly developing field of data-independent acquisition (DIA) strategies. RESULTS: Here, we present Synthedia—a software package to simulate DIA liquid chromatography-mass spectrometry for bottom-up proteomics experiments. Synthedia can generate datasets with known peptide precursor ions and fragments and allows for the customization of a wide variety of chromatographic and mass spectrometry parameters. AVAILABILITY AND IMPLEMENTATION: Synthedia is freely available via the internet and can be used through a graphical website (https://synthedia.org/) or locally via the command line (https://github.com/mgleeming/synthedia/). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online.
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spelling pubmed-98253092023-01-24 Simulation of mass spectrometry-based proteomics data with Synthedia Leeming, Michael G Ang, Ching-Seng Nie, Shuai Varshney, Swati Williamson, Nicholas A Bioinform Adv Application Note MOTIVATION: A large number of experimental and bioinformatic parameters must be set to identify and quantify peptides in mass spectrometry experiments and each of these will impact the results. An ability to simulate raw data with known contents would allow researchers to rapidly explore the effects of varying experimental parameters and systematically investigate downstream processing software. A range of data simulators are available for established data-dependent acquisition methodologies, but these do not extend to the rapidly developing field of data-independent acquisition (DIA) strategies. RESULTS: Here, we present Synthedia—a software package to simulate DIA liquid chromatography-mass spectrometry for bottom-up proteomics experiments. Synthedia can generate datasets with known peptide precursor ions and fragments and allows for the customization of a wide variety of chromatographic and mass spectrometry parameters. AVAILABILITY AND IMPLEMENTATION: Synthedia is freely available via the internet and can be used through a graphical website (https://synthedia.org/) or locally via the command line (https://github.com/mgleeming/synthedia/). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online. Oxford University Press 2022-12-19 /pmc/articles/PMC9825309/ /pubmed/36698761 http://dx.doi.org/10.1093/bioadv/vbac096 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Application Note
Leeming, Michael G
Ang, Ching-Seng
Nie, Shuai
Varshney, Swati
Williamson, Nicholas A
Simulation of mass spectrometry-based proteomics data with Synthedia
title Simulation of mass spectrometry-based proteomics data with Synthedia
title_full Simulation of mass spectrometry-based proteomics data with Synthedia
title_fullStr Simulation of mass spectrometry-based proteomics data with Synthedia
title_full_unstemmed Simulation of mass spectrometry-based proteomics data with Synthedia
title_short Simulation of mass spectrometry-based proteomics data with Synthedia
title_sort simulation of mass spectrometry-based proteomics data with synthedia
topic Application Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825309/
https://www.ncbi.nlm.nih.gov/pubmed/36698761
http://dx.doi.org/10.1093/bioadv/vbac096
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