Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1784866608492052480 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9825309 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT leemingmichaelg simulationofmassspectrometrybasedproteomicsdatawithsynthedia AT angchingseng simulationofmassspectrometrybasedproteomicsdatawithsynthedia AT nieshuai simulationofmassspectrometrybasedproteomicsdatawithsynthedia AT varshneyswati simulationofmassspectrometrybasedproteomicsdatawithsynthedia AT williamsonnicholasa simulationofmassspectrometrybasedproteomicsdatawithsynthedia |