Cristian Taccioli
Professore associato confermato
BIO/11
Address: VIALE DELL'UNIVERSITÀ, 16 - LEGNARO PD . . .
E-mail: cristian.taccioli@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.
Teachings
- APPLIED BIOINFORMATICS, AA 2019 (AVP5073517)
- MOLECULAR BIOLOGY (MOD. A), AA 2019 (AVP7079880)
- APPLIED BIOINFORMATICS, AA 2018 (AVP5073517)
- MOLECULAR BIOLOGY (MOD. A), AA 2018 (AVP7079880)
- APPLIED BIOINFORMATICS, AA 2017 (AVP5073517)
- MOLECULAR BIOLOGY (MOD. A), AA 2017 (AVP7079880)
- APPLIED BIOINFORMATICS, AA 2016 (AVP5073517)
- MOLECULAR BIOLOGY, AA 2016 (AVP4067958)
- MOLECULAR BIOLOGY, AA 2015 (AVP4067958)
Curriculum
Professor Taccioli is an Associate Professor at the University of Padova and is in charge of the MAPS Bioinformatics Laboratory. The MAPS Bioinformatics Laboratory is part of M.A.P.S Department (Department of Animal Medicine, Production and Health) at University of Padova. The mission of the Department is to maintain high-quality expertise in animal husbandry, food science and public health. The research carried out in the Department encompass most of the fields of modern biology and veterinary at various levels of organisation, from molecules to organisms in a biomedical and evolutionary perspective. Professor Taccioli has a Master degree in "Molecular Biology", a PhD in "Pharmacology and Molecular Oncology" and a BS.C in "Biostatistics". He has previously worked at the University of Bologna, University of Ferrara, University of Modena and Reggio Emilia, at The Ohio State University (OSU) and at University College London (UCL). His research activity focuses on Genomics (including cancer genomics and pathology genomics) and Population Genetics. His group performs biostatistics analyses using data obtained from high-throughput sequencing (NGS) such as: Whole Genome Sequencing, Whole Exome sequencing, RNA-Seq, and ChIP-Seq. The programming languages used to develop tools are: Python, R and C++.
Publications
Peer reviewed publications (2007-2019):
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 epigenomics in cancer (human and animals);
- Transposons, cancer evolution;
The language programming used for bioinformatics analyses are:
- Python;
- R;
The molecular biology techniques used are:
- NGS (Next Generation Sequencing), machine learning
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 in domesticated animal models".
- Cancer genomics and epigenomics in human and animal models;
- Transposons and evolution;
- Genetic disorders in animal models;
- Genetica di popolazione.
The language programming used for bioinformatics analyses are:
- Python;
- R;
- C++.
The molecular biology techniques used are:
- Whole Genome Sequencing;
- RNA-sequencing;
- ChIP-sequencing.
