Simulation of mass spectrometry-based proteomics data with Synthedia

被引:1
|
作者
Leeming, Michael G. [1 ]
Ang, Ching-Seng [1 ]
Nie, Shuai [1 ]
Varshney, Swati [1 ]
Williamson, Nicholas A. [1 ]
机构
[1] Univ Melbourne, Bio21 Mol Sci & Biotechnol Inst, Melbourne Mass Spectrometry & Prote Facil, Melbourne, Vic 3052, Australia
来源
BIOINFORMATICS ADVANCES | 2023年 / 3卷 / 01期
关键词
3D PROTEIN MODELS; MOLECULAR-DYNAMICS; REFINEMENT; QUALITY; SERVER;
D O I
10.1093/bioadv/vbac096
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 are available at Bioinformatics Advances online.
引用
收藏
页数:4
相关论文
共 50 条
  • [1] Mass spectrometry-based proteomics
    Ruedi Aebersold
    Matthias Mann
    [J]. Nature, 2003, 422 : 198 - 207
  • [2] Mass spectrometry-based proteomics
    Aebersold, R
    Mann, M
    [J]. NATURE, 2003, 422 (6928) : 198 - 207
  • [3] Mass spectrometry-based proteomics
    Hood, BL
    Veenstra, TD
    Conrads, TP
    [J]. ADVANCES IN FERTILITY AND REPRODUCTIVE MEDICINE, 2004, 1266 : 375 - 380
  • [4] Facilitating interpretation of mass spectrometry-based proteomics data
    Hunter, JC
    Adkins, JN
    Miller, JH
    Pounds, JG
    [J]. METMBS '04: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MATHEMATICS AND ENGINEERING TECHNIQUES IN MEDICINE AND BIOLOGICAL SCIENCES, 2004, : 471 - 477
  • [5] An Efficient Data Format for Mass Spectrometry-Based Proteomics
    Shah, Anuj R.
    Davidson, Jennifer
    Monroe, Matthew E.
    Mayampurath, Anoop M.
    Danielson, William F.
    Shi, Yan
    Robinson, Aaron C.
    Clowers, Brian H.
    Belov, Mikhail E.
    Anderson, Gordon A.
    Smith, Richard D.
    [J]. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY, 2010, 21 (10) : 1784 - 1788
  • [6] Mass spectrometry-based quantitative proteomics
    Heck, AJR
    Krijgsveld, J
    [J]. EXPERT REVIEW OF PROTEOMICS, 2004, 1 (03) : 317 - 326
  • [7] An Introduction to Mass Spectrometry-Based Proteomics
    Shuken, Steven R.
    [J]. JOURNAL OF PROTEOME RESEARCH, 2023, 22 (07) : 2151 - 2171
  • [8] Computational Mass Spectrometry-Based Proteomics
    Kall, Lukas
    Vitek, Olga
    [J]. PLOS COMPUTATIONAL BIOLOGY, 2011, 7 (12)
  • [9] Mass spectrometry-based targeted proteomics
    Doerr, Allison
    [J]. NATURE METHODS, 2013, 10 (01) : 23 - 23
  • [10] ADVANCES IN MASS SPECTROMETRY-BASED PROTEOMICS
    Anderson, Rby Damon
    [J]. Lab Manager, 2023, 18 (02): : 46 - 47