Mattia Pelizzola

According to our database, Mattia Pelizzola authored at least 10 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Benchmarking of computational methods for m6A profiling with Nanopore direct RNA sequencing.

Simone Maestri, Mattia Furlan, Logan Mulroney, Lucia Coscujuela Tarrero, Camilla Ugolini, Fabio Dalla Pozza, Tommaso Leonardi, Ewan Birney, Francesco Nicassio, Mattia Pelizzola

Briefings Bioinform., January, 2024

2022

Identification, semantic annotation and comparison of combinations of functional elements in multiple biological conditions.

Michele Leone, Eugenia Galeota, Marco Masseroli, Mattia Pelizzola

Bioinform., 2022

2021

Dynamics of transcriptional and post-transcriptional regulation.

Mattia Furlan, Stefano de Pretis, Mattia Pelizzola

Briefings Bioinform., 2021

2017

Ontology-based annotations and semantic relations in large-scale (epi)genomics data.

Eugenia Galeota, Mattia Pelizzola

Briefings Bioinform., 2017

2016

LowMACA: exploiting protein family analysis for the identification of rare driver mutations in cancer.

Giorgio E. M. Melloni, Stefano de Pretis, Laura Riva, Mattia Pelizzola, Arnaud Céol, Jole Costanza, Heiko Müller, Luca Zammataro

BMC Bioinform., 2016

2015

methylPipe and compEpiTools: a suite of R packages for the integrative analysis of epigenomics data.

Kamal Kishore, Stefano de Pretis, Ryan Lister, Marco J. Morelli, Valerio Bianchi, Bruno Amati, Joseph R. Ecker, Mattia Pelizzola

BMC Bioinform., 2015

INSPEcT: a computational tool to infer mRNA synthesis, processing and degradation dynamics from RNA- and 4sU-seq time course experiments.

Stefano de Pretis, Theresia Kress, Marco J. Morelli, Giorgio E. M. Melloni, Laura Riva, Bruno Amati, Mattia Pelizzola

Bioinform., 2015

2007

The Genopolis Microarray Database.

Andrea Splendiani, Marco Brandizi, Gael Even, Ottavio Beretta, Norman Pavelka, Mattia Pelizzola, Manuel Mayhaus, Maria Foti, Giancarlo Mauri, Paola Ricciardi-Castagnoli

BMC Bioinform., 2007

2006

AMDA: an R package for the automated microarray data analysis.

Mattia Pelizzola, Norman Pavelka, Maria Foti, Paola Ricciardi-Castagnoli

BMC Bioinform., 2006

2004

A power law global error model for the identification of differentially expressed genes in microarray data.

Norman Pavelka, Mattia Pelizzola, Caterina Vizzardelli, Monica Capozzoli, Andrea Splendiani, Francesca Granucci, Paola Ricciardi-Castagnoli

BMC Bioinform., 2004