Author

Cristina Viéitez

European Bioinformatics InstituteORCID 0000-0002-6802-3845Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 1 Genomics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Organism:yeast· 2 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Pedro BeltrãoiD· 3 shared André MateusiD· 2 shared Athanasios TypasiD· 2 shared Bede P. BusbyiD· 2 shared David OchoaiD· 2 shared Frank SteiniD· 2 shared Marco GalardiniiD· 2 shared Mikhail M. SavitskiiD· 2 shared

Activity by Year

2019-2019 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersSystems Biology

Pedro BeltrãoORCID

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3 papers

Recent·Most cited

Towards a systematic map of the functional role of protein phosphorylation

Cristina Viéitez, Bede P. Busby, David Ochoa, André Mateus, Marco Galardini, Areeb Jawed, Danish Memon, Clément M. Potel, Sibylle Chantal Vonesch, Chelsea Szu‐Tu, Mohammed Shahraz, Frank Stein, Lars Michael Steinmetz, Mikhail M. Savitski, Athanasios Typas, Pedro Beltrão

The paper systematically maps the functional role of phosphorylation by analyzing phospho-deficient mutants in yeast and linking yeast phenotypes to human functional relevance.

bioRxiv · Dec 11, 2019 · PreprintSystems Biology

The functional landscape of the human phosphoproteome

David Ochoa, Andrew F. Jarnuczak, Cristina Viéitez, Maja Gehre, Margaret Soucheray, André Mateus, Askar A. Kleefeldt, Anthony D. Hill, Luz García‐Alonso, Frank Stein, Nevan J. Krogan, Mikhail M. Savitski, Danielle L. Swaney, Juan Antonio Vizcaíno, Kyung‐Min Noh, Pedro Beltrão

The paper creates a comprehensive human phosphoproteome by integrating 6,801 phospho-enriched mass spectrometry experiments and prioritizes functional phosphosites using machine learning.

Nature Biotechnology · Dec 9, 2019Peer-reviewedGenomics

The impact of the genetic background on gene deletion phenotypes in Saccharomyces cerevisiae

Marco Galardini, Bede P. Busby, Cristina Viéitez, Alistair S. Dunham, Athanasios Typas, Pedro Beltrão

The paper assesses how genetic background affects gene deletion phenotypes in yeast, finding significant variation across strains and conditions.

Molecular Systems Biology · Dec 1, 2019Peer-reviewedGenetics