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Pietro Mandreoli

dblp:290/0097 · DBLP profile ↗
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3ranked-venue papers
0as first author
3since 2021 · last 2021
0000-0002-7088-1283ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 3 · 3 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 94% Medical and health informatics · 6%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics
genomic variant analysis
1.022021
CorGAT: a tool for the functional annotation of SARS-CoV-2 genomes · Bioinform. 2021
VINYL: Variant prIoritizatioN bY survivaL analysis · Bioinform. 2021
Bioinformatics and computational biology › genome annotation
functional annotation
0.512021
CorGAT: a tool for the functional annotation of SARS-CoV-2 genomes · Bioinform. 2021
Bioinformatics and computational biology › statistical genetics
variant prioritization
0.512021
VINYL: Variant prIoritizatioN bY survivaL analysis · Bioinform. 2021
Medical and health informatics
clinical genomics
0.112021
VINYL: Variant prIoritizatioN bY survivaL analysis · Bioinform. 2021
Bioinformatics and computational biology › genomics › viral genomics
SARS-CoV-2 genome analysis
0.112021
CorGAT: a tool for the functional annotation of SARS-CoV-2 genomes · Bioinform. 2021
Bioinformatics and computational biology › genomics
variant annotation
0.112021
VINYL: Variant prIoritizatioN bY survivaL analysis · Bioinform. 2021
Bioinformatics and computational biology › genomics
viral genomics
0.112021
CorGAT: a tool for the functional annotation of SARS-CoV-2 genomes · Bioinform. 2021

Methods — techniques the papers use, named apart from their topics

survival analysis · 0.5functional annotation · 0.5comparative genomics · 0.5
YearPublicationVenuePosition
2021 VINYL: Variant prIoritizatioN bY survivaL analysis
abstract
MOTIVATION: Clinical 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 this context, accurate and reproducible methods for the functional annotation and prioritization of genetic variants are of fundamental importance. RESULTS: In this article, we present VINYL, a flexible and fully automated system for the functional annotation and prioritization of genetic variants. Extensive analyses of both real and simulated datasets suggest that VINYL can identify clinically relevant genetic variants in a more accurate manner compared to equivalent state of the art methods, allowing a more rapid and effective prioritization of genetic variants in different experimental settings. As such we believe that VINYL can establish itself as a valuable tool to assist healthcare operators and researchers in clinical genomics investigations. AVAILABILITY AND IMPLEMENTATION: VINYL is available at http://beaconlab.it/VINYL and https://github.com/matteo14c/VINYL. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Matteo Chiara, Pietro Mandreoli, Marco Antonio Tangaro, Anna Maria D'Erchia, Sandro Sorrentino, Cinzia Forleo, David Stephen Horner, Federico Zambelli, Graziano Pesole
Bioinform.2
2021 CorGAT: a tool for the functional annotation of SARS-CoV-2 genomes
abstract
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 functionally relevant genomic sites. Here, we present CorGAT, a novel tool for the functional annotation of SARS-CoV-2 genomic variants. By comparisons with other state of the art methods we demonstrate that, by providing a more comprehensive and rich annotation, our method can facilitate the identification of evolutionary patterns in the genome of SARS-CoV-2. AVAILABILITYAND IMPLEMENTATION: Galaxy. http://corgat.cloud.ba.infn.it/galaxy; software: https://github.com/matteo14c/CorGAT/tree/Revision_V1; docker: https://hub.docker.com/r/laniakeacloud/galaxy_corgat. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Matteo Chiara, Federico Zambelli, Marco Antonio Tangaro, Pietro Mandreoli, David Stephen Horner, Graziano Pesole
Bioinform.4
2021 Laniakea@ReCaS: exploring the potential of customisable Galaxy on-demand instances as a cloud-based service
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 pandemic has been to make even more evident the importance of having bioinformatics tools and data readily actionable by researchers through convenient access points and supported by adequate IT infrastructures. One of the most successful efforts in improving the availability and usability of bioinformatics tools and data is represented by the Galaxy workflow manager and its thriving community. In 2020 we introduced Laniakea, a software platform conceived to streamline the configuration and deployment of "on-demand" Galaxy instances over the cloud. By facilitating the set-up and configuration of Galaxy web servers, Laniakea provides researchers with a powerful and highly customisable platform for executing complex bioinformatics analyses. The system can be accessed through a dedicated and user-friendly web interface that allows the Galaxy web server's initial configuration and deployment. RESULTS: "Laniakea@ReCaS", the first instance of a Laniakea-based service, is managed by ELIXIR-IT and was officially launched in February 2020, after about one year of development and testing that involved several users. Researchers can request access to Laniakea@ReCaS through an open-ended call for use-cases. Ten project proposals have been accepted since then, totalling 18 Galaxy on-demand virtual servers that employ ~ 100 CPUs, ~ 250 GB of RAM and ~ 5 TB of storage and serve several different communities and purposes. Herein, we present eight use cases demonstrating the versatility of the platform. CONCLUSIONS: During this first year of activity, the Laniakea-based service emerged as a flexible platform that facilitated the rapid development of bioinformatics tools, the efficient delivery of training activities, and the provision of public bioinformatics services in different settings, including food safety and clinical research. Laniakea@ReCaS provides a proof of concept of how enabling access to appropriate, reliable IT resources and ready-to-use bioinformatics tools can considerably streamline researchers' work.
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 Alessandrì, Elena Pedrini, Marina Mordenti, Emanuele Bonetti, Luca Sangiorgi, Graziano Pesole, Federico Zambelli
BMC Bioinform.2