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SanXoT: a modular and versatile package for the quantitative analysis of high-throughput proteomics experiments
SUMMARY: Mass spectrometry-based proteomics has had a formidable development in recent years, increasing the amount of data handled and the complexity of the statistical resources needed. Here we present SanXoT, an open-source, standalone software package for the statistical analysis of high-through...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6499250/ https://www.ncbi.nlm.nih.gov/pubmed/30252043 http://dx.doi.org/10.1093/bioinformatics/bty815 |
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author | Trevisan-Herraz, Marco Bagwan, Navratan García-Marqués, Fernando Rodriguez, Jose Manuel Jorge, Inmaculada Ezkurdia, Iakes Bonzon-Kulichenko, Elena Vázquez, Jesús |
author_facet | Trevisan-Herraz, Marco Bagwan, Navratan García-Marqués, Fernando Rodriguez, Jose Manuel Jorge, Inmaculada Ezkurdia, Iakes Bonzon-Kulichenko, Elena Vázquez, Jesús |
author_sort | Trevisan-Herraz, Marco |
collection | PubMed |
description | SUMMARY: Mass spectrometry-based proteomics has had a formidable development in recent years, increasing the amount of data handled and the complexity of the statistical resources needed. Here we present SanXoT, an open-source, standalone software package for the statistical analysis of high-throughput, quantitative proteomics experiments. SanXoT is based on our previously developed weighted spectrum, peptide and protein statistical model and has been specifically designed to be modular, scalable and user-configurable. SanXoT allows limitless workflows that adapt to most experimental setups, including quantitative protein analysis in multiple experiments, systems biology, quantification of post-translational modifications and comparison and merging of experimental data from technical or biological replicates. AVAILABILITY AND IMPLEMENTATION: Download links for the SanXoT Software Package, source code and documentation are available at https://wikis.cnic.es/proteomica/index.php/SSP. CONTACT: jvazquez@cnic.es or ebonzon@cnic.es SUPPLEMENTARY INFORMATION: Supplementary information is available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-6499250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-64992502019-05-07 SanXoT: a modular and versatile package for the quantitative analysis of high-throughput proteomics experiments Trevisan-Herraz, Marco Bagwan, Navratan García-Marqués, Fernando Rodriguez, Jose Manuel Jorge, Inmaculada Ezkurdia, Iakes Bonzon-Kulichenko, Elena Vázquez, Jesús Bioinformatics Applications Notes SUMMARY: Mass spectrometry-based proteomics has had a formidable development in recent years, increasing the amount of data handled and the complexity of the statistical resources needed. Here we present SanXoT, an open-source, standalone software package for the statistical analysis of high-throughput, quantitative proteomics experiments. SanXoT is based on our previously developed weighted spectrum, peptide and protein statistical model and has been specifically designed to be modular, scalable and user-configurable. SanXoT allows limitless workflows that adapt to most experimental setups, including quantitative protein analysis in multiple experiments, systems biology, quantification of post-translational modifications and comparison and merging of experimental data from technical or biological replicates. AVAILABILITY AND IMPLEMENTATION: Download links for the SanXoT Software Package, source code and documentation are available at https://wikis.cnic.es/proteomica/index.php/SSP. CONTACT: jvazquez@cnic.es or ebonzon@cnic.es SUPPLEMENTARY INFORMATION: Supplementary information is available at Bioinformatics online. Oxford University Press 2019-05-01 2018-09-25 /pmc/articles/PMC6499250/ /pubmed/30252043 http://dx.doi.org/10.1093/bioinformatics/bty815 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Trevisan-Herraz, Marco Bagwan, Navratan García-Marqués, Fernando Rodriguez, Jose Manuel Jorge, Inmaculada Ezkurdia, Iakes Bonzon-Kulichenko, Elena Vázquez, Jesús SanXoT: a modular and versatile package for the quantitative analysis of high-throughput proteomics experiments |
title | SanXoT: a modular and versatile package for the quantitative analysis of high-throughput proteomics experiments |
title_full | SanXoT: a modular and versatile package for the quantitative analysis of high-throughput proteomics experiments |
title_fullStr | SanXoT: a modular and versatile package for the quantitative analysis of high-throughput proteomics experiments |
title_full_unstemmed | SanXoT: a modular and versatile package for the quantitative analysis of high-throughput proteomics experiments |
title_short | SanXoT: a modular and versatile package for the quantitative analysis of high-throughput proteomics experiments |
title_sort | sanxot: a modular and versatile package for the quantitative analysis of high-throughput proteomics experiments |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6499250/ https://www.ncbi.nlm.nih.gov/pubmed/30252043 http://dx.doi.org/10.1093/bioinformatics/bty815 |
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