Author

Giorgio Mattiuz

University of FlorenceORCID 0000-0002-9668-1706Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Salvatore Di GiorgioiD· 2 shared Silvestro Giovanni ConticelloiD· 2 shared Antonio Frandi· 1 shared Filippo MartignanoiD· 1 shared Francesco Donati· 1 shared Lorenzo Tofani· 1 shared Maria Gabriella TorciaiD· 1 shared Matteo Brilli· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 20 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Salvatore Di GiorgioORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Evidence for host-dependent RNA editing in the transcriptome of SARS-CoV-2

Salvatore Di Giorgio, Filippo Martignano, Maria Gabriella Torcia, Giorgio Mattiuz, Silvestro Giovanni Conticello

The paper identifies RNA editing signatures in SARS-CoV-2 transcriptomes, suggesting host deaminases like ADAR and APOBEC contribute to antiviral defense and viral evolution.

Science Advances · May 18, 2020Peer-reviewedBioinformatics

Mutational likeliness and entropy help to identify driver mutations and their functional role in cancer

Giorgio Mattiuz, Salvatore Di Giorgio, Lorenzo Tofani, Antonio Frandi, Francesco Donati, Matteo Brilli, Silvestro G Conticello

This study identifies driver mutations in cancer by analyzing mutational likeliness and entropy, distinguishing them from passenger mutations and differentiating gain and loss of function mutations.

bioRxiv · Jun 26, 2018 · PreprintCancer Biology