Demo Data from EDBT 2026 / reviewers in the wild / expert
Hue V. Reardon
dblp:301/5135
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0003-4295-3857ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 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
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › genomics
genome visualization |
0.5 | 1 | 2021 | AVIA 3.0: interactive portal for genomic variant and sample level analysis · Bioinform. 2021 |
Bioinformatics and computational biology
cancer genomics |
0.1 | 1 | 2021 | AVIA 3.0: interactive portal for genomic variant and sample level analysis · Bioinform. 2021 |
Bioinformatics and computational biology › genomics
variant analysis |
0.1 | 1 | 2021 | AVIA 3.0: interactive portal for genomic variant and sample level analysis · Bioinform. 2021 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | AVIA 3.0: interactive portal for genomic variant and sample level analysisabstractSUMMARY: The Annotation, Visualization and Impact Analysis (AVIA) is a web application combining multiple features to annotate and visualize genomic variant data. Users can investigate functional significance of their genetic alterations across samples, genes and pathways. Version 3.0 of AVIA offers filtering options through interactive charts and by linking disease relevant data sources. Newly incorporated services include gene, variant and sample level reporting, literature and functional correlations among impacted genes, comparative analysis across samples and against data sources such as TCGA and ClinVar, and cohort building. Sample and data management is now feasible through the application, which allows greater flexibility with sharing, reannotating and organizing data. Most importantly, AVIA's utility stems from its convenience for allowing users to upload and explore results without any a priori knowledge or the need to install, update and maintain software or databases. Together, these enhancements strengthen AVIA as a comprehensive, user-driven variant analysis portal. AVAILABILITYAND IMPLEMENTATION: AVIA is accessible online at https://avia-abcc.ncifcrf.gov. Hue V. Reardon, Anney Che, Brian T. Luke, Sarangan Ravichandran, Jack R. Collins, Uma Mudunuri |
Bioinform. | 1 |