0000000000349104

AUTHOR

Yasset Perez-riverol

0000-0001-6579-6941

showing 3 related works from this author

A multicenter study benchmarks software tools for label-free proteome quantification

2016

The consistent and accurate quantification of proteins by mass spectrometry (MS)-based proteomics depends on the performance of instruments, acquisition methods and data analysis software. In collaboration with the software developers, we evaluated OpenSWATH, SWATH2.0, Skyline, Spectronaut and DIA-Umpire, five of the most widely used software methods for processing data from SWATH-MS (sequential window acquisition of all theoretical fragment ion spectra), a method that uses data-independent acquisition (DIA) for label-free protein quantification. We analyzed high-complexity test datasets from hybrid proteome samples of defined quantitative composition acquired on two different MS instrument…

0301 basic medicineInternationalityProteomeComputer sciencemedia_common.quotation_subjectSoftware toolQuantitative proteomicsBiomedical EngineeringBioengineeringcomputer.software_genreBioinformaticsSensitivity and SpecificityApplied Microbiology and BiotechnologyArticleMass Spectrometry03 medical and health sciencesSoftwareQuality (business)media_commonLabel freeStaining and Labeling030102 biochemistry & molecular biologybusiness.industryReproducibility of ResultsBenchmarkingComputingMethodologies_PATTERNRECOGNITION030104 developmental biologyMulticenter studyProteomeBenchmark (computing)Molecular MedicineData miningbusinesscomputerAlgorithmsSoftwareBiotechnologyNature Biotechnology
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Proteomics Standards Initiative: Fifteen Years of Progress and Future Work.

2017

Abstract: The Proteomics Standards Initiative (PSI) of the Human Proteome Organization (HUPO) has now been developing and promoting open community standards and software tools in the field of proteomics for 15 years. Under the guidance of the chair, co-chairs, and other leadership positions, the PSI working groups are tasked with the development and maintenance of community standards via special workshops and ongoing work. Among the existing, ratified standards, the PSI working groups continue to update PSI-MI XML, MITAB, mzML, mzIdentML, mzQuantML, mzTab, and the MIAPE (Minimum Information About a Proteomics Experiment) guidelines with the advance of new technologies and techniques. Furthe…

0301 basic medicineProteomicsprotein quantificationEmerging technologiesComputer sciencecomputer.internet_protocolGuidelines as Topiccomputer.software_genreBiochemistry03 medical and health sciencesprotein identificationHuman proteome projectHumansCommunity standardsquality controlDatabases ProteinBiologydatabasemass spectrometryComputer. Automation030102 biochemistry & molecular biologyApplication programming interfaceProteomics Standards InitiativeGeneral ChemistryReference StandardsData sciencemetabolomicsChemistry030104 developmental biologyPerspectivedata standardWeb servicebioinformatics softwareWorking groupcomputerXMLSoftwaremolecular interactionsJournal of proteome research
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USEDAT: USA-Europe Data Analysis Training Worldwide Program, 2019 ed.

2019

USA-Europe Data Analysis Training School (USEDAT) is a Multi-center Trans-Atlantic initiative offering hands-on training focused in both Introduction to Experimental Data Recording (NMR, MS, IR, 2DGE, EEG, etc.) and/or posterior Computational Data Analysis (Machine Learning, Complex Networks, etc.). We made emphasis on applications in for Cheminformatics, Bioinformatics, Medicinal Chemistry, Nanotechnology, Systems Biology, Biomedical Engineering, etc. The school also promotes training and knowledge of ethical and legal regulatory issues (GDPR, REACH, OECD, FDA, etc.) about data use and data protection in chemistry and biomedical research. The school is directed to researchers and students …

Engineeringbusiness.industry4. Education[SDV]Life Sciences [q-bio]Experimental data02 engineering and technology021001 nanoscience & nanotechnologyTraining (civil)Data science[SPI]Engineering Sciences [physics]Cheminformatics0202 electrical engineering electronic engineering information engineeringData Protection Act 1998[CHIM]Chemical Sciences020201 artificial intelligence & image processing[INFO]Computer Science [cs]0210 nano-technologybusinessComputingMilieux_MISCELLANEOUS
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