Demo Data from SIGIR 2026 / reviewers in the wild / expert
Antonella Travaglione
dblp:122/8747
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
metagenomics |
0.2 | 1 | 2014 | Orione, a web-based framework for NGS analysis in microbiology · Bioinform. 2014 |
Bioinformatics and computational biology › genomics
next-generation sequencing data analysis |
0.2 | 1 | 2014 | Orione, a web-based framework for NGS analysis in microbiology · Bioinform. 2014 |
Bioinformatics and computational biology › genomics › microbial genomics
bacterial genomics |
0.1 | 1 | 2014 | Orione, a web-based framework for NGS analysis in microbiology · Bioinform. 2014 |
Bioinformatics and computational biology
microbiology |
0.1 | 1 | 2014 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Orione, a web-based framework for NGS analysis in microbiologyabstractUNLABELLED: 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. | 6 |