SanXoT: a modular and versatile package for the quantitative analysis of high-throughput proteomics experiments | Zendy

Marco Trevisán-Herraz | Zendy; Navratan Bagwan | Zendy; Fernando Jose Garcia-Marques | Zendy; José Manuel Rodrı́guez | Zendy; Inmaculada Jorge | Zendy; Iakes Ezkurdia | Zendy; Elena BonzónKulichenko | Zendy; Jesús Vázquez | Zendy

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SanXoT: a modular and versatile package for the quantitative analysis of high-throughput proteomics experiments

Author(s) -

Marco Trevisán-Herraz,

Navratan Bagwan,

Fernando Jose Garcia-Marques,

José Manuel Rodrı́guez,

Inmaculada Jorge,

Iakes Ezkurdia,

Elena BonzónKulichenko,

Jesús Vázquez

Publication year - 2018

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bty815

Subject(s) - computer science , workflow , quantitative proteomics , modular design , proteomics , software , throughput , source code , documentation , scalability , data mining , database , operating system , chemistry , biochemistry , gene , wireless

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.

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