Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Pietro Mandreoli"'
Autor:
Marco Antonio Tangaro, Pietro Mandreoli, Matteo Chiara, Giacinto Donvito, Marica Antonacci, Antonio Parisi, Angelica Bianco, Angelo Romano, Daniela Manila Bianchi, Davide Cangelosi, Paolo Uva, Ivan Molineris, Vladimir Nosi, Raffaele A. Calogero, Luca Alessandri, Elena Pedrini, Marina Mordenti, Emanuele Bonetti, Luca Sangiorgi, Graziano Pesole, Federico Zambelli
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S15, Pp 1-20 (2021)
Abstract Background Improving the availability and usability of data and analytical tools is a critical precondition for further advancing modern biological and biomedical research. For instance, one of the many ramifications of the COVID-19 global p
Externí odkaz:
https://doaj.org/article/e5ee31659111446fa3d69e4960d6a9ee
Autor:
Philip Reiner Kensche, Alexander Kanitz, Ivan Topolsky, Kim Philipp Jablonski, Pietro Mandreoli, Sven Twardziok
With the exponential increase in genomic data, analyzing and processing large datasets has become a challenging task in healthcare. To address this issue, the Global Alliance for Genomics and Health (GA4GH) has proposed a set of community standards f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30ca67f360d3eaeda21474b9d74a1c72
https://doi.org/10.37044/osf.io/2z6nu
https://doi.org/10.37044/osf.io/2z6nu
Autor:
Marco Antonio Tangaro, Marica Antonacci, Pietro Mandreoli, Daniele Colombo, Nadina Foggetti, Giacinto Donvito, Graziano Pesole, Federico Zambelli
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031253799
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f8d0e4c120ec84a93f97f99cabbeb57
https://hdl.handle.net/2434/953140
https://hdl.handle.net/2434/953140
Autor:
Pietro Mandreoli, Luca Alessandri, Raffaele A. Calogero, Marco Antonio Tangaro, Federico Zambelli
Publikováno v:
Methods in Molecular Biology ISBN: 9781071627556
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92b1a96617c00fd5a77fe1ab4ec945b9
https://hdl.handle.net/2434/948197
https://hdl.handle.net/2434/948197
Autor:
Pietro, Mandreoli, Luca, Alessandri, Raffaele A, Calogero, Marco Antonio, Tangaro, Federico, Zambelli
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2584
rCASC is a modular workflow providing an integrated environment for single-cell RNA-seq (scRNA-Seq) data analysis exploiting Docker containers to achieve functional and computational reproducibility. It was initially developed as an R package usable
Autor:
Angelica Bianco, Elena Pedrini, Federico Zambelli, Vladimir Nosi, Ivan Molineris, Giacinto Donvito, Marco Antonio Tangaro, Pietro Mandreoli, Graziano Pesole, Luca Alessandrì, Marina Mordenti, Raffaele A. Calogero, Luca Sangiorgi, Daniela Bianchi, Angelo Romano, Marica Antonacci, Emanuele Bonetti, Paolo Uva, Matteo Chiara, Antonio Parisi, Davide Cangelosi
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 22, Iss S15, Pp 1-21 (2021)
BMC Bioinformatics, Vol 22, Iss S15, Pp 1-21 (2021)
Background Improving the availability and usability of data and analytical tools is a critical precondition for further advancing modern biological and biomedical research. For instance, one of the many ramifications of the COVID-19 global pandemic h
Autor:
Federico Zambelli, Giulio Pavesi, Graziano Pesole, Pietro Mandreoli, Erika Ferrandi, Matteo Chiara, Marco Antonio Tangaro
Publikováno v:
Journal of molecular biology. 433(11)
In diploid organisms, two copies of each allele are normally inherited from parents. Paternal and maternal alleles can be regulated and expressed unequally, which is referred to as allele-specific expression (ASE). In this work, we present aScan, a n
Autor:
Sandro Sorrentino, David S. Horner, Marco Antonio Tangaro, Graziano Pesole, Pietro Mandreoli, Federico Zambelli, Anna Maria D'Erchia, Matteo Chiara, Cinzia Forleo
Publikováno v:
Bioinformatics (Oxford, England).
MotivationClinical applications of genome re-sequencing technologies typically generate large amounts of data that need to be carefully annotated and interpreted to identify genetic variants potentially associated with pathological conditions. In thi
Autor:
Matteo Chiara, Marica Antonacci, Graziano Pesole, Pietro Mandreoli, Giacinto Donvito, Marco Antonio Tangaro, Federico Zambelli
Publikováno v:
bioRxiv
GigaScience
Giga science 9 (2020). doi:10.1093/gigascience/giaa033
info:cnr-pdr/source/autori:Tangaro M.A.; Donvito G.; Antonacci M.; Chiara M.; Mandreoli P.; Pesole G.; Zambelli F./titolo:Laniakea: An open solution to provide Galaxy "on-demand" instances over heterogeneous cloud infrastructures/doi:10.1093%2Fgigascience%2Fgiaa033/rivista:Giga science/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume:9
GigaScience
Giga science 9 (2020). doi:10.1093/gigascience/giaa033
info:cnr-pdr/source/autori:Tangaro M.A.; Donvito G.; Antonacci M.; Chiara M.; Mandreoli P.; Pesole G.; Zambelli F./titolo:Laniakea: An open solution to provide Galaxy "on-demand" instances over heterogeneous cloud infrastructures/doi:10.1093%2Fgigascience%2Fgiaa033/rivista:Giga science/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume:9
BackgroundGalaxy is rapidly becoming the de facto standard among workflow managers for bioinformatics. A rich feature set, its overall flexibility, and a thriving community of enthusiastic users are among the main factors contributing to the populari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27d4c6f1b13ee07d7b651d5ced3ada83
Autor:
David S. Horner, Federico Zambelli, Marco Antonio Tangaro, Pietro Mandreoli, Graziano Pesole, Matteo Chiara
Publikováno v:
Bioinformatics
Summary While over 200 000 genomic sequences are currently available through dedicated repositories, ad hoc methods for the functional annotation of SARS-CoV-2 genomes do not harness all currently available resources for the annotation of functionall