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CRISTIAN TACCIOLI

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Position

Professore Associato

Address

VIALE DELL'UNIVERSITA', 16 - LEGNARO PD

Telephone

Professor Taccioli is an Associate Professor at the University of Padua and is head of the MAPS Bioinformatics Laboratory. The MAPS Bioinformatics Laboratory is part of the M.A.P.S. Department (Department of Animal Medicine, Production and Health) of the University of Padua. Professor Taccioli holds a Bachelor's degree in "Molecular Biology," a Ph.D. in "Molecular Pharmacology and Oncology," and a Master's degree in "Biostatistics." He has previously worked at the University of Bologna, University of Ferrara, University of Modena and Reggio Emilia, The Ohio State University (OSU) and University College London (UCL). His research activity is mainly in genomics (including genomics of cancer and inherited diseases) and population genetics using bioinformatics methodologies. His group performs biostatistical analyses using data obtained from NGS sequencing such as: Whole Genome Sequencing, Whole Exome Sequencing, RNA-Seq, ChIP-Seq and Single cell sequencing. Lately, he is also working on transposable elements and structural genomics and Chargaff's II parity rule. The programming languages used to develop tools are: Python, R and C++. Special attention is given to mathematical models used in the field of Artificial Intelligence (Machine Learning methods).

Notices

For further information, please visit www.bioinformatics.maps.unipd.it

Office hours

  • Tuesday from 11:00 to 13:00
    at Complesso Agripolis, Prima Stecca, Primo Piano, Dipartimento MAPS.
    Si prega di contattare il docente (cristian.taccioli at unipd.it) prima del ricevimento.

  • Thursday from 10:00 to 12:00
    at Complesso Agripolis, Prima Stecca, Primo Piano, Dipartimento MAPS.
    Si prega di contattare il docente (cristian.taccioli at unipd.it) prima del ricevimento.

Publications

Peer reviewed publications (2007-2022):

https://www.ncbi.nlm.nih.gov/pubmed/?term=taccioli+c

Research Area

We are involved in National and International collaborations and projects focusing on:
- Cancer genomics and comparative genomics (human and animals);
- Transposons, cancer evolution;
- Structural biology (Chargaff's second parity rule)

The language programming used for bioinformatics analyses are:
- Python;
- R;
- C++.

The molecular biology techniques used are:
- WGS (Whole Genome Sequencing), RNA-Seq, ChIP-seq, and Machine Learning methods.

Thesis proposals

Title 1:
"Development of tools (machine learning) for the design and development of new chemotherapy drugs in animals and humans".

Title 2:
"Identification of new families of transposable elements through Chargaff' second parity rule".