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Andrea Sbardellati

dblp:147/7050 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

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

Applied, 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 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
metagenomics
0.212014
Orione, a web-based framework for NGS analysis in microbiology · Bioinform. 2014
Bioinformatics and computational biology › genomics
next-generation sequencing data analysis
0.212014
Orione, a web-based framework for NGS analysis in microbiology · Bioinform. 2014
Bioinformatics and computational biology › genomics › microbial genomics
bacterial genomics
0.112014
Orione, a web-based framework for NGS analysis in microbiology · Bioinform. 2014
Bioinformatics and computational biology
microbiology
0.112014
Orione, a web-based framework for NGS analysis in microbiology · Bioinform. 2014

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

galaxy workflow · 0.2
YearPublicationVenuePosition
2014 Orione, a web-based framework for NGS analysis in microbiology
abstract
UNLABELLED: End-to-end next-generation sequencing microbiology data analysis requires a diversity of tools covering bacterial resequencing, de novo assembly, scaffolding, bacterial RNA-Seq, gene annotation and metagenomics. However, the construction of computational pipelines that use different software packages is difficult owing to a lack of interoperability, reproducibility and transparency. To overcome these limitations we present Orione, a Galaxy-based framework consisting of publicly available research software and specifically designed pipelines to build complex, reproducible workflows for next-generation sequencing microbiology data analysis. Enabling microbiology researchers to conduct their own custom analysis and data manipulation without software installation or programming, Orione provides new opportunities for data-intensive computational analyses in microbiology and metagenomics. AVAILABILITY AND IMPLEMENTATION: Orione is available online at http://orione.crs4.it.
Gianmauro Cuccuru, Massimiliano Orsini, Andrea Pinna 0003, Andrea Sbardellati, Nicola Soranzo, Antonella Travaglione, Paolo Uva, Gianluigi Zanetti, Giorgio Fotia
Bioinform.4