Francesco Russo

Current Position:

Researcher
Computational System Biology Lab

Contacts:

Phone: +39 0816132588
Lab: +39 0816132588
Email: francesco.russo@cnr.it
f.russo@ieos.cnr.it

Keywords:

Virtual Screening, Molecular Modelling, Molecular Dynamics, Drug Design, Chemoinformatics, Bioinformatics, Data Analysis, Software Development, Statistics

My research activity is mainly focused on the development of novel methods, algorithms and platforms for the analysis of several omic biodata. I am an expert analyst of NGS data produced by RNA-seq experiments and also an expert of data quality control and of RNA-sequence alignment against a reference genome in order to identify the expressed RNAs, quantification of gene and isoform expression, exploration of expression data in order to determine the possible presence of batch effects and to choose which type of normalization to be suitable for the specific data under investigation, which methods must be used for the differential expression analyses. Also I develop tools (mainly written in R programming language) to display and further investigate the results and to perform the pathway analysis and Gene Ontology.

I am a researcher in Bioinformatics with about 12 years of working experience (from 2012). I am involved in the development of several computational tools for many types of bioinformatics analyses, such as: scripts algorithms, graphic platforms (such as: RNASeqGUI, ImageR, Golgi Motif Explorer) and various tools for the analysis of biological data of different type. In particular, I deal with NGS data from RNASeq experiments, sequence data (fasta), alignment data (bam), protein-protein interaction data and cancer data. I developed several methods to classify putative oncogenes based on Copy Number Alteration data from more than 11000 patients affected by 32 different cancers collected from the TGCA database.

Education

2012 Ph.D. in Computer Science at Imperial College London, SW7 2AZ, London, UK.
2006 Master degree in Physics (cum laude), Department of Physics, University of Naples “Federico II”, Naples.

Positions

2022-present: Researcher at IEOS Institute at National Research Council in Naples, Italy.
2012-2022: Postdoctoral position in Bioinformatics at National Research Council in Naples, Italy.
2012-2012: C++ and Python Developer at Hewlett-Packard in Cambridge, UK.
2007-2012: C++ Developer and Teaching Assistant at Imperial College London, London, UK.
2007-2007: Research Assistant in Computer Science at Imperial College London, SW7 2AZ, London, UK.

F Russo, P Sahu, I Agliarulo, R Rizzo, M L Monte, N Normanno, S Soddu, F Carlomagno, A Luini, S Parashuraman. Prioritization of driver genes in cancer-associated copy number alterations identifies B4GALT5 as a glycooncogene. BioRXiv, 2022
F Russo, D Righelli, C Angelini. Advantages and Limits in the Adoption of Reproducible Research and R-Tools for the Analysis of Omic Data. Lecture Notes in Computer Science, 2016
F Russo, D Righelli, C Angelini. Advancements in RNASeqGUI towards a Reproducible Analysis of RNA-Seq Experiments. BioMed Research International 2016
A Fiorenzano, E Pascale, C D'Aniello, D Acampora, C Bassalert, F Russo, G Andolfi, M Biffoni, F Francescangeli, A Zeuner, C Angelini, C Chazaud, E J Patriarca, A Fico, G Minchiotti. Cripto is essential to capture mouse epiblast stem cell and human embryonic stem cell pluripotency. Nature Communications, 2016
F Russo, C Angelini. RNASeqGUI: A GUI for analysing RNA-Seq data. Bioinformatics, 2014

Francesco Russo

Current Position:

Contacts:

Keywords:

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