2026-05-09T21:24:01Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/190352024-09-27T08:19:11Zcom_20.500.12105_19604com_20.500.12105_2051col_20.500.12105_19605
Repisalud
author
Rodriguez, Jose Manuel
author
Jorge, Inmaculada
author
Martinez-Val, Ana
author
Barrero-Rodríguez, Rafael
author
Magni, Ricardo
author
Nunez, Estefania
author
Laguillo, Andrea
author
Devesa, Cristina A
author
Lopez, Juan Antonio
author
Camafeita, Emilio
author
Vazquez, Jesus
funder
Ministerio de Ciencia, Innovación y Universidades (España)
funder
Instituto de Salud Carlos III
funder
Comunidad de Madrid (España)
funder
Fundación La Caixa
funder
Fundación ProCNIC
funder
Ministerio de Ciencia e Innovación. Centro de Excelencia Severo Ochoa (España)
funder
Ministerio de Educación, Cultura y Deporte (España)
2024-03-21T14:23:51Z
2024-03-21T14:23:51Z
2024-12
Comput Struct Biotechnol J. 2023 Dec 26:23:452-459.
10.1016/j.csbj.2023.12.034
2001-0370
Computational and structural biotechnology journal
38235360
http://hdl.handle.net/20.500.12105/19035
Many bioinformatics tools are available for the quantitative analysis of proteomics experiments. Most of these tools use a dedicated statistical model to derive absolute quantitative protein values from mass spectrometry (MS) data. Here, we present iSanXoT, a standalone application that processes relative abundances between MS signals and then integrates them sequentially to upper levels using the previously published Generic Integration Algorithm (GIA). iSanXoT offers unique capabilities that complement conventional quantitative software applications, including statistical weighting and independent modeling of error distributions in each integration, aggregation of technical or biological replicates, quantification of posttranslational modifications, and analysis of coordinated protein behavior. iSanXoT is a standalone, user-friendly application that accepts output from popular proteomics pipelines and enables unrestricted creation of quantification workflows and fully customizable reports that can be reused across projects or shared among users. Numerous publications attest the successful application of diverse integrative workflows constructed using the GIA for the analysis of high-throughput quantitative proteomics experiments. iSanXoT has been tested with the main operating systems. Download links for the corresponding distributions are available at https://github.com/CNIC-Proteomics/iSanXoT/releases.
eng
iSanXoT: A standalone application for the integrative analysis of mass spectrometry-based quantitative proteomics data.
journal article
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URL
https://repisalud.isciii.es/bitstreams/741db907-6cda-4fa4-8a62-ce6dab7885dc/download
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iSanXoT A standalone application_Comput Struct Biotechnol J_2023.pdf
URL
https://repisalud.isciii.es/bitstreams/e190a153-3201-4bc5-8350-ee8abce4de8b/download
File
MD5
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text/plain
iSanXoT A standalone application_Comput Struct Biotechnol J_2023.pdf.txt