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oai:repisalud.isciii.es:20.500.12105/78472024-09-27T08:34:41Zcom_20.500.12105_19604com_20.500.12105_2051col_20.500.12105_19605col_20.500.12105_19607

00925njm 22002777a 4500 dc Trevisan-Herraz, Marco author Bagwan, Navratan author Garcia-Marques, Fernando author Rodriguez, Jose Manuel author Jorge, Inmaculada author Ezkurdia, Iakes author Bonzon-Kulichenko, Elena author Vazquez, Jesus author 2019-05-01 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. Bioinformatics. 2019; 35(9):1594-6 10.1093/bioinformatics/bty815 1367-4811 1367-4803 Bioinformatics (Oxford, England) 30252043 http://hdl.handle.net/20.500.12105/7847 SanXoT: a modular and versatile package for the quantitative analysis of high-throughput proteomics experiments