Demo Data from SIGIR 2026 / reviewers in the wild / expert
Andrea Pinna 0003
dblp:69/9984-3
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0002-1797-1212ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 3 · 1 first-author
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 · 100% |
Topics — the 6 heaviest of 7, 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 › systems bioinformatics
systems genetics |
0.1 | 1 | 2011 | Simulating systems genetics data with SysGenSIM · Bioinform. 2011 |
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 |
Bioinformatics and computational biology › biological network › network biology › network inference
gene regulatory network inference |
0.0 | 1 | 2011 | Simulating systems genetics data with SysGenSIM · Bioinform. 2011 |
Methods — techniques the papers use, named apart from their topics
galaxy workflow · 0.2network topology simulation · 0.1graphical user interface · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Extended Accessibility and Cultural Heritage: A New Approach to Fruition and Conservation
Francesco Pinna, Mattia Cogoni, Andrea Pinna 0003, Giovanni Battista Cocco, Caterina Giannattasio |
ICCSA (7) | 3 |
| 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. | 3 |
| 2011 | Simulating systems genetics data with SysGenSIMabstractSUMMARY: SysGenSIM is a software package to simulate Systems Genetics (SG) experiments in model organisms, for the purpose of evaluating and comparing statistical and computational methods and their implementations for analyses of SG data [e.g. methods for expression quantitative trait loci (eQTL) mapping and network inference]. SysGenSIM allows the user to select a variety of network topologies, genetic and kinetic parameters to simulate SG data ( genotyping, gene expression and phenotyping) with large gene networks with thousands of nodes. The software is encoded in MATLAB, and a user-friendly graphical user interface is provided. AVAILABILITY: The open-source software code and user manual can be downloaded at: http://sysgensim.sourceforge.net/ CONTACT: [email protected]. Andrea Pinna 0003, Nicola Soranzo, Ina Hoeschele, Alberto de la Fuente |
Bioinform. | 1 |