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Engineering and Technology

D-Index
43
Citations
29623
World Ranking
5972
National Ranking
382

Overview

Yasset Perez-Riverol is affiliated with the European Bioinformatics Institute in the United Kingdom. Their research spans across the fields of Biochemistry, Genetics, and Molecular Biology, with significant contributions also in Chemistry. The main subfields of study include Molecular Biology, Spectroscopy, Information Systems and Management, and Epidemiology.

Their work primarily focuses on Advanced Proteomics Techniques and Applications, Metabolomics and Mass Spectrometry Studies, Mass Spectrometry Techniques and Applications, Genomics and Phylogenetic Studies, Scientific Computing and Data Management, Biomedical Text Mining and Ontologies, and Genetics, Bioinformatics, and Biomedical Research.

Frequent publication venues for their work include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Proteome Research
  • Nucleic Acids Research
  • Nature Methods
  • Scientific Data

Frequent coauthors collaborating with Yasset Perez-Riverol are:

  • Juan Antonio Vizcaíno
  • Eric W. Deutsch
  • Timo Sachsenberg
  • Wout Bittremieux
  • Mingze Bai

Among their recent papers are:

  • The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences (2021, Nucleic Acids Research)
  • The PRIDE database at 20 years: 2025 update (2024, Nucleic Acids Research)
  • The ProteomeXchange consortium at 10 years: 2023 update (2022, Nucleic Acids Research)
  • MaxDIA enables library-based and library-free data-independent acquisition proteomics (2021, Nature Biotechnology)
  • MassIVE.quant: a community resource of quantitative mass spectrometry-based proteomics datasets (2020, Nature Methods)

Best Publications

  • The PRIDE database and related tools and resources in 2019: improving support for quantification data.

    Yasset Perez-Riverol;Attila Csordas;Jingwen Bai;Manuel Bernal-Llinares

  • The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences.

    Yasset Perez-Riverol;Jingwen Bai;Chakradhar Bandla;David García-Seisdedos

  • 2016 update of the PRIDE database and its related tools

    Juan Antonio Vizcaíno;Attila Csordas;Noemi Del-Toro;José A. Dianes

  • The PRoteomics IDEntifications (PRIDE) database and associated tools: status in 2013.

    Juan Antonio Vizcaíno;Richard G. Côté;Attila Csordas;José A. Dianes

  • The ProteomeXchange consortium in 2017: supporting the cultural change in proteomics public data deposition

    Eric W. Deutsch;Attila Csordas;Zhi Sun;Andrew Jarnuczak

  • BioContainers: an open-source and community-driven framework for software standardization.

    Felipe da Veiga Leprevost;Björn A Grüning;Saulo Alves Aflitos;Hannes L Röst

  • The ProteomeXchange consortium in 2020: enabling 'big data' approaches in proteomics.

    Eric W. Deutsch;Nuno Bandeira;Nuno Bandeira;Vagisha Sharma;Yasset Pérez-Riverol

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

    Pedro Navarro;Jörg Kuharev;Ludovic C. Gillet;Oliver M. Bernhardt

  • ThermoRawFileParser: Modular, Scalable, and Cross-Platform RAW File Conversion.

    Niels Hulstaert;Jim Shofstahl;Timo Sachsenberg;Mathias Walzer

  • MaxDIA enables library-based and library-free data-independent acquisition proteomics

    Pavel Sinitcyn;Hamid Hamzeiy;Favio Salinas Soto;Daniel Itzhak

  • Recognizing millions of consistently unidentified spectra across hundreds of shotgun proteomics datasets

    Johannes Griss;Yasset Perez-Riverol;Steve Lewis;David L Tabb

  • PRIDE Inspector Toolsuite: Moving Toward a Universal Visualization Tool for Proteomics Data Standard Formats and Quality Assessment of ProteomeXchange Datasets

    Yasset Perez-Riverol;Qing Wei Xu;Rui Wang;Julian Uszkoreit

  • Making proteomics data accessible and reusable: Current state of proteomics databases and repositories

    Yasset Perez-Riverol;Emanuele Alpi;Rui Wang;Henning Hermjakob

  • Discovering and linking public omics data sets using the Omics Discovery Index

    Yasset Perez-Riverol;Mingze Bai;Mingze Bai;Mingze Bai;Felipe Da Veiga Leprevost;Silvano Squizzato

  • Ten Simple Rules for Taking Advantage of Git and GitHub.

    Yasset Perez-Riverol;Laurent Gatto;Rui Wang;Timo Sachsenberg

  • The mzTab Data Exchange Format: Communicating Mass-spectrometry-based Proteomics and Metabolomics Experimental Results to a Wider Audience

    Johannes Griss;Johannes Griss;Andrew R. Jones;Timo Sachsenberg;Mathias Walzer

  • Four simple recommendations to encourage best practices in research software

    Rafael C. Jiménez;Mateusz Kuzak;Monther Alhamdoosh;Michelle Barker

  • MassIVE.quant: a community resource of quantitative mass spectrometry-based proteomics datasets.

    Meena Choi;Jeremy Carver;Cristina Chiva;Manuel Tzouros

  • PRIDE Inspector: a tool to visualize and validate MS proteomics data

    Rui Wang;Antonio Fabregat;Daniel Ríos;David Ovelleiro

  • A proteomics sample metadata representation for multiomics integration and big data analysis.

    Chengxin Dai;Anja Füllgrabe;Julianus Pfeuffer;Julianus Pfeuffer;Elizaveta M. Solovyeva;Elizaveta M. Solovyeva

  • Open source libraries and frameworks for mass spectrometry based proteomics: A developer's perspective☆

    Yasset Perez-Riverol;Rui Wang;Henning Hermjakob;Markus Müller

  • Universal Spectrum Identifier for mass spectra

    Eric W. Deutsch;Yasset Perez-Riverol;Jeremy Carver;Shin Kawano

  • PIA: An Intuitive Protein Inference Engine with a Web-Based User Interface.

    Julian Uszkoreit;Alexandra Maerkens;Yasset Perez-Riverol;Helmut E. Meyer

  • Accurate estimation of Isoelectric Point of Protein and Peptide based on Amino Acid Sequences

    Enrique Audain;Yassel Ramos;Henning Hermjakob;Darren R. Flower

  • In-depth analysis of protein inference algorithms using multiple search engines and well-defined metrics.

    Enrique Audain;Julian Uszkoreit;Timo Sachsenberg;Julianus Pfeuffer

  • Expanding the Use of Spectral Libraries in Proteomics.

    Eric W. Deutsch;Yasset Perez-Riverol;Robert J. Chalkley;Mathias Wilhelm

  • On best practices in the development of bioinformatics software.

    Felipe da Veiga Leprevost;Valmir C. Barbosa;Eduardo L. Francisco;Yasset Perez-Riverol

  • An integrated landscape of protein expression in human cancer.

    Andrew F. Jarnuczak;Hanna Najgebauer;Mitra Barzine;Deepti J. Kundu

  • Open source libraries and frameworks for biological data visualisation: a guide for developers

    Rui Wang;Yasset Perez-Riverol;Henning Hermjakob;Juan Antonio Vizcaíno

  • Isoelectric point optimization using peptide descriptors and support vector machines.

    Yasset Perez-Riverol;Enrique Audain;Aleli Millan;Yassel Ramos

  • ms-data-core-api: an open-source, metadata-oriented library for computational proteomics.

    Yasset Perez-Riverol;Julian Uszkoreit;Aniel Sanchez;Tobias Ternent

  • A Protein Standard That Emulates Homology for the Characterization of Protein Inference Algorithms.

    Fredrik Edfors;Yasset Perez-Riverol;Samuel H. Payne

Frequent Co-Authors

Juan Antonio Vizcaíno
Juan Antonio Vizcaíno European Bioinformatics Institute
Henning Hermjakob
Henning Hermjakob European Bioinformatics Institute
Eric W. Deutsch
Eric W. Deutsch University of Washington
Nuno Bandeira
Nuno Bandeira University of California, San Diego
Alvis Brazma
Alvis Brazma European Bioinformatics Institute
Reza M. Salek
Reza M. Salek International Agency For Research On Cancer
Oliver Kohlbacher
Oliver Kohlbacher University of Tübingen
Alexey I. Nesvizhskii
Alexey I. Nesvizhskii University of Michigan–Ann Arbor
Robert J. Chalkley
Robert J. Chalkley University of California, San Francisco
Peipei Ping
Peipei Ping University of California, Los Angeles

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