Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Paolo Emilio Mazzon"'
Autor:
Sergio Traldi, Marco Zanetti, Lisa Zangrando, Gianpietro Sella, Federica Fanzago, Paolo Emilio Mazzon, Sergio Fantinel, Matteo Menguzzato, Paolo Andreetto, Marco Verlato, Fulvia Costa, Massimo Sgaravatto, Alberto Crescente
Publikováno v:
EPJ Web of Conferences, Vol 245, p 07013 (2020)
CloudVeneto.it was initially funded and deployed by INFN in 2014 for serving the computational and storage demands of INFN research projects mainly related to HEP and Nuclear Physics. It is an OpenStack-based scientific cloud with resources spread ac
Autor:
Matteo Menguzzato, Alberto Crescente, Paolo Emilio Mazzon, Sergio Traldi, Paolo Andreetto, Massimo Sgaravatto, Gianpietro Sella, Lisa Zangrando, Federica Fanzago, Marco Verlato, Fulvia Costa, Sergio Fantinel, Loris Lazzaro
Publikováno v:
EPJ Web of Conferences, Vol 251, p 02022 (2021)
CloudVeneto is a private cloud implemented as the result of merging two existing cloud infrastructures: the INFN Cloud Area Padovana, and a private cloud owned by 10 departments of University of Padova. This infrastructure is a full production facili
Autor:
Ervin Konomi, Alberto Crescente, Paolo Emilio Mazzon, Federica Fanzago, Fabrizio Chiarello, Sergio Traldi, Lisa Zangrando, Gianpietro Sella, Marco Verlato, Sergio Fantinel, Paolo Andreetto, Fulvia Costa, Matteo Menguzzato, Matteo Segatta, Massimo Sgaravatto
Publikováno v:
EPJ Web of Conferences, Vol 214, p 07010 (2019)
The Cloud Area Padovana, deployed in 2014, is a scientific IaaS cloud, spread between two different sites: the INFN Padova Unit and the INFN Legnaro National Labs. It provides about 1100 logical cores and 50 TB of storage. The entire computing facili
Autor:
Barbara Di Camillo, Luca Bianco, Enrico Lavezzo, Luisa Barzon, Francesca Finotello, Stefano Toppo, Paolo Fontana, Paolo Emilio Mazzon
Publikováno v:
BMC Bioinformatics
Scopus-Elsevier
Scopus-Elsevier
Background In the last decade, Next-Generation Sequencing technologies have been extensively applied to quantitative transcriptomics, making RNA sequencing a valuable alternative to microarrays for measuring and comparing gene transcription levels. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d50174ee1809cc65b23eb565b7fadd5d
http://hdl.handle.net/11577/2668299
http://hdl.handle.net/11577/2668299
Autor:
Paolo Fontana, Luisa Barzon, Stefano Toppo, Enrico Lavezzo, Paolo Emilio Mazzon, Barbara Di Camillo, Francesca Finotello
Motivation and Objectives In the last decade, Next-Generation Sequencing (NGS) technologies have been extensively applied to quantitative transcriptomics, making RNA sequencing (RNA-seq) a valuable alternative to microarrays for measuring and compari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9681732b3156ad1eba538c890b5ca6bb
http://hdl.handle.net/11577/2645853
http://hdl.handle.net/11577/2645853