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Francesco Russo
PeerJ Editor & Reviewer
260 Points

Contributions by role

Reviewer 60
Editor 200

Contributions by subject area

Biotechnology
Computational Biology
Women's Health
Data Mining and Machine Learning
Bioinformatics
Genomics
Genetics
Molecular Biology
Cardiology
Pathology
Public Health
Urology
Oncology

Francesco Russo

PeerJ Editor & Reviewer

Summary

I am a molecular and cellular biologist with a long experience in non-coding RNAs (in particular microRNAs). My main interest is about computational biology. Currently, I am a member of the Brunak lab at the NNF Center for Protein Research, University of Copenhagen and I'm also an affiliated member of the Computational Biology Lab at the Danish Cancer Society in Papaleo lab. I am working on data integration of omics data, electronic patients records, analysis of laboratory tests and drug effects in cancer patients.

I am also interested in non-invasive biomarkes. In 2012 I designed and developed the miRandola database (https://academic.oup.com/nar/article/46/D1/D354/4191335), the first extracellular circulating microRNA database.

Bioinformatics Computational Biology Genomics Molecular Biology

Editorial Board Member

PeerJ - the Journal of Life & Environmental Sciences

Past or current institution affiliations

University of Copenhagen

Work details

Postdoc

University of Copenhagen
January 2016
Translational Disease Systems Biology, Novo Nordisk Foundation Center for Protein Research
My focus for the postdoc position is about application of systems biology approaches in cancer research. I use national patient registries and additional data to stratify cancer patients. I also collaborate with other groups and within the lab for different analyses covering the following topics: network biology, RNA-seq, non-coding RNAs, human genetics.

Affiliated postdoc member

Danish Cancer Society Research Center
October 2018
Computational Biology Laboratory
I collaborate with the Computational Biology Lab headed by Dr Elena Papaleo, in different projects regarding data integration of omics data.

Websites

  • Google Scholar

PeerJ Contributions