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Giuseppe Petrosino

dblp:164/6707 · DBLP profile ↗
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4ranked-venue papers
2as first author
3since 2021 · last 2023
0000-0002-2835-4308ORCID · reported

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

Artificial intelligence and machine learning · 3 · 2 first-author · 3 since 2021Applied, interdisciplinary, general and emerging computing · 1

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
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
genomics
0.212015
Annocript: a flexible pipeline for the annotation of transcriptomes able to identify putative long noncoding RNAs · Bioinform. 2015
Bioinformatics and computational biology › transcriptomics
transcriptome annotation
0.212015
Annocript: a flexible pipeline for the annotation of transcriptomes able to identify putative long noncoding RNAs · Bioinform. 2015

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

sequence database search · 0.2pipeline · 0.2
YearPublicationVenuePosition
2023 A Comprehensive Presentation of the Jadescript Agent-Oriented Programming Language
Federico Bergenti, Stefania Monica, Giuseppe Petrosino
EUMAS3
2023 Cross-Paradigm Interoperability Between Jadescript and Java
Giuseppe Petrosino, Stefania Monica, Federico Bergenti
ICAART (1)1
2021 A Description of the Jadescript Type System
Giuseppe Petrosino, Eleonora Iotti, Stefania Monica, Federico Bergenti
DAI1
2015 Annocript: a flexible pipeline for the annotation of transcriptomes able to identify putative long noncoding RNAs
abstract
UNLABELLED: The eukaryotic transcriptome is composed of thousands of coding and long non-coding RNAs (lncRNAs). However, we lack a software platform to identify both RNA classes in a given transcriptome. Here we introduce Annocript, a pipeline that combines the annotation of protein coding transcripts with the prediction of putative lncRNAs in whole transcriptomes. It downloads and indexes the needed databases, runs the analysis and produces human readable and standard outputs together with summary statistics of the whole analysis. AVAILABILITY AND IMPLEMENTATION: Annocript is distributed under the GNU General Public License (version 3 or later) and is freely available at https://github.com/frankMusacchia/Annocript. CONTACT: [email protected].
Francesco Musacchia, Swaraj Basu, Giuseppe Petrosino, Marco Salvemini, Remo Sanges
Bioinform.3