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

Author:

Perez-Riverol Yasset1,Csordas Attila1,Bai Jingwen1,Bernal-Llinares Manuel1,Hewapathirana Suresh1,Kundu Deepti J1,Inuganti Avinash1,Griss Johannes12,Mayer Gerhard3,Eisenacher Martin3,Pérez Enrique1,Uszkoreit Julian3,Pfeuffer Julianus4,Sachsenberg Timo4,Yılmaz Şule5,Tiwary Shivani5,Cox Jürgen5,Audain Enrique6,Walzer Mathias1,Jarnuczak Andrew F1,Ternent Tobias1,Brazma Alvis1,Vizcaíno Juan Antonio1ORCID

Affiliation:

1. European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK

2. Division of Immunology, Allergy and Infectious Diseases, Department of Dermatology, Medical University of Vienna, Vienna, 1090, Austria

3. Ruhr University Bochum, Medical Faculty, Medizinisches Proteom-Center, D-44801 Bochum, Germany

4. Applied Bioinformatics, Department for Computer Science, University of Tuebingen, Sand 14, 72076 Tuebingen, Germany

5. Computational Systems Biochemistry, Max Planck Institute for Biochemistry, Martinsried, 82152, Germany

6. Department of Congenital Heart Disease and Pediatric Cardiology, Universitätsklinikum Schleswig–Holstein Kiel, Kiel, 24105, Germany

Funder

Wellcome Trust

Biotechnology and Biological Sciences Research Council

UK-Japan Partnership

National Institutes of Health

Thor Industries

Horizon 2020

Publisher

Oxford University Press (OUP)

Subject

Genetics

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