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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...

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Autores principales: Trevisan-Herraz, Marco, Bagwan, Navratan, García-Marqués, Fernando, Rodriguez, Jose Manuel, Jorge, Inmaculada, Ezkurdia, Iakes, Bonzon-Kulichenko, Elena, Vázquez, Jesús
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
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.
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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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