ThermoRawFileParser: Modular, Scalable, and Cross-Platform RAW File Conversion
Тип публикации: Journal Article
Дата публикации: 2019-11-22
scimago Q1
wos Q2
БС1
SJR: 1.139
CiteScore: 7.3
Impact factor: 3.6
ISSN: 15353893, 15353907
PubMed ID:
31755270
General Chemistry
Biochemistry
Краткое описание
The field of computational proteomics is approaching the big data age, driven both by a continuous growth in the number of samples analysed per experiment, as well as by the growing amount of data obtained in each analytical run. In order to process these large amounts of data, it is increasingly necessary to use elastic compute resources such as Linux-based cluster environments and cloud infrastructures. Unfortunately, the vast majority of cross-platform proteomics tools are not able to operate directly on the proprietary formats generated by the diverse mass spectrometers. Here, we present ThermoRawFileParser, an open-source, cross-platform tool that converts Thermo RAW files into open file formats such as MGF and the HUPO-PSI standard file format mzML. To ensure the broadest possible availability, and to increase integration capabilities with popular workflow systems such as Galaxy or Nextflow, we have also built Conda package and BioContainers container around ThermoRawFileParser. In addition, we implemented a user-friendly interface (ThermoRawFileParserGUI) for those users not familiar with command-line tools. Finally, we performed a benchmark of ThermoRawFileParser and msconvert to verify that the converted mzML files contain reliable quantitative results.
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ГОСТ
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Hulstaert N. et al. ThermoRawFileParser: Modular, Scalable, and Cross-Platform RAW File Conversion // Journal of Proteome Research. 2019. Vol. 19. No. 1. pp. 537-542.
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Hulstaert N., Shofstahl J., Sachsenberg T., Walzer M., Barsnes H., Martens L., Perez-Riverol Y. ThermoRawFileParser: Modular, Scalable, and Cross-Platform RAW File Conversion // Journal of Proteome Research. 2019. Vol. 19. No. 1. pp. 537-542.
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TY - JOUR
DO - 10.1021/acs.jproteome.9b00328
UR - https://doi.org/10.1021/acs.jproteome.9b00328
TI - ThermoRawFileParser: Modular, Scalable, and Cross-Platform RAW File Conversion
T2 - Journal of Proteome Research
AU - Hulstaert, Niels
AU - Shofstahl, Jim
AU - Sachsenberg, Timo
AU - Walzer, Mathias
AU - Barsnes, Harald
AU - Martens, Luc
AU - Perez-Riverol, Yasset
PY - 2019
DA - 2019/11/22
PB - American Chemical Society (ACS)
SP - 537-542
IS - 1
VL - 19
PMID - 31755270
SN - 1535-3893
SN - 1535-3907
ER -
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@article{2019_Hulstaert,
author = {Niels Hulstaert and Jim Shofstahl and Timo Sachsenberg and Mathias Walzer and Harald Barsnes and Luc Martens and Yasset Perez-Riverol},
title = {ThermoRawFileParser: Modular, Scalable, and Cross-Platform RAW File Conversion},
journal = {Journal of Proteome Research},
year = {2019},
volume = {19},
publisher = {American Chemical Society (ACS)},
month = {nov},
url = {https://doi.org/10.1021/acs.jproteome.9b00328},
number = {1},
pages = {537--542},
doi = {10.1021/acs.jproteome.9b00328}
}
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MLA
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Hulstaert, Niels, et al. “ThermoRawFileParser: Modular, Scalable, and Cross-Platform RAW File Conversion.” Journal of Proteome Research, vol. 19, no. 1, Nov. 2019, pp. 537-542. https://doi.org/10.1021/acs.jproteome.9b00328.