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dc.contributor.authorTrevisan-Herraz, Marco 
dc.contributor.authorBagwan, Navratan 
dc.contributor.authorGarcia-Marques, Fernando 
dc.contributor.authorRodriguez, Jose Manuel 
dc.contributor.authorJorge, Inmaculada 
dc.contributor.authorEzkurdia, Iakes 
dc.contributor.authorBonzon-Kulichenko, Elena 
dc.contributor.authorVazquez, Jesus 
dc.date.accessioned2019-07-03T13:55:18Z
dc.date.available2019-07-03T13:55:18Z
dc.date.issued2019-05-01
dc.identifier.citationBioinformatics. 2019; 35(9):1594-6es_ES
dc.identifier.issn1367-4803es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/7847
dc.description.abstractSUMMARY: 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.es_ES
dc.description.sponsorshipThis study was supported by competitive grants [BIO2012-37926, BIO2015-67580-P] from the Spanish Ministry of Economy, Industry and Competitiveness (MEIC), [grant IPT13/0001] (ProteoRed, PRB2, ISCIII-SGEFI/ERDF), [grant IPT17/0019] (ProteoRed, PRB3, ISCIII-SGEFI/ERDF), the Fundacio La Marato de TV3, and the European Commission FP7 (FP7-PEOPLE-2013-ITN Next generation training in cardiovascular research and innovation-CardioNext). The Centro Nacional de Investigaciones Cardiovasculares Carlos is supported by the Spanish Ministry of Economy, Industry and Competitiveness (MEIC) and the Pro-CNIC Foundation, and is a Severo Ochoa Center of Excellence (MEIC award SEV-2015-0505).es_ES
dc.language.isoenges_ES
dc.publisherOxford University Presses_ES
dc.relation.isversionofPublisher's versiones_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleSanXoT: a modular and versatile package for the quantitative analysis of high-throughput proteomics experimentses_ES
dc.typeArtículoes_ES
dc.rights.licenseAtribución 4.0 Internacional*
dc.identifier.pubmedID30252043es_ES
dc.format.volume35es_ES
dc.format.number9es_ES
dc.format.page1594-1596es_ES
dc.identifier.doi10.1093/bioinformatics/bty815es_ES
dc.contributor.funderMinisterio de Economía, Industria y Competitividad (España)es_ES
dc.contributor.funderFundacio La Maratoes_ES
dc.contributor.funderEuropean Commissiones_ES
dc.contributor.funderFundación ProCNICes_ES
dc.contributor.funderInstituto de Salud Carlos III - ISCIIIes_ES
dc.description.peerreviewedes_ES
dc.identifier.e-issn1367-4811es_ES
dc.relation.publisherversionhttps://doi.org/10.1093/bioinformatics/bty815es_ES
dc.identifier.journalBioinformatics (Oxford, England)es_ES
dc.repisalud.orgCNICCNIC::Grupos de investigación::Proteómica cardiovasculares_ES
dc.repisalud.orgCNICCNIC::Unidades técnicas::Proteómica / Metabolómicaes_ES
dc.repisalud.institucionCNICes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/608027/EUes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/SEV-2015-0505es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/BIO2012-37926es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/BIO2015-67580-Pes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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Atribución 4.0 Internacional
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