dc.contributor.author | Trevisan-Herraz, Marco | |
dc.contributor.author | Bagwan, Navratan | |
dc.contributor.author | Garcia-Marques, Fernando | |
dc.contributor.author | Rodriguez, Jose Manuel | |
dc.contributor.author | Jorge, Inmaculada | |
dc.contributor.author | Ezkurdia, Iakes | |
dc.contributor.author | Bonzon-Kulichenko, Elena | |
dc.contributor.author | Vazquez, Jesus | |
dc.date.accessioned | 2019-07-03T13:55:18Z | |
dc.date.available | 2019-07-03T13:55:18Z | |
dc.date.issued | 2019-05-01 | |
dc.identifier.citation | Bioinformatics. 2019; 35(9):1594-6 | es_ES |
dc.identifier.issn | 1367-4803 | es_ES |
dc.identifier.uri | http://hdl.handle.net/20.500.12105/7847 | |
dc.description.abstract | 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. | es_ES |
dc.description.sponsorship | This 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.iso | eng | es_ES |
dc.publisher | Oxford University Press | es_ES |
dc.type.hasVersion | VoR | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.title | SanXoT: a modular and versatile package for the quantitative analysis of high-throughput proteomics experiments | es_ES |
dc.type | journal article | es_ES |
dc.rights.license | Atribución 4.0 Internacional | * |
dc.identifier.pubmedID | 30252043 | es_ES |
dc.format.volume | 35 | es_ES |
dc.format.number | 9 | es_ES |
dc.format.page | 1594-1596 | es_ES |
dc.identifier.doi | 10.1093/bioinformatics/bty815 | es_ES |
dc.contributor.funder | Ministerio de Economía, Industria y Competitividad (España) | |
dc.contributor.funder | Fundación La Marató TV3 | |
dc.contributor.funder | Unión Europea. Comisión Europea | |
dc.contributor.funder | Fundación ProCNIC | |
dc.contributor.funder | Instituto de Salud Carlos III | |
dc.description.peerreviewed | Sí | es_ES |
dc.identifier.e-issn | 1367-4811 | es_ES |
dc.relation.publisherversion | https://doi.org/10.1093/bioinformatics/bty815 | es_ES |
dc.identifier.journal | Bioinformatics (Oxford, England) | es_ES |
dc.repisalud.orgCNIC | CNIC::Grupos de investigación::Proteómica cardiovascular | es_ES |
dc.repisalud.orgCNIC | CNIC::Unidades técnicas::Proteómica / Metabolómica | es_ES |
dc.repisalud.institucion | CNIC | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/608027/EU | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/ES/SEV-2015-0505 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/ES/BIO2012-37926 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/ES/BIO2015-67580-P | es_ES |
dc.rights.accessRights | open access | es_ES |