Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jessica Heilmann
dblp:425/4132
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 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 2 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 |
0.8 | 1 | 2024 | Figeno: multi-region genomic figures with long-read support · Bioinform. 2024 |
Bioinformatics and computational biology › sequence analysis
long-read sequencing |
0.2 | 1 | 2024 | Figeno: multi-region genomic figures with long-read support · Bioinform. 2024 |
Methods — techniques the papers use, named apart from their topics
image rendering · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Figeno: multi-region genomic figures with long-read supportabstractSUMMARY: The vast amount of publicly available genomic data requires analysis and visualization tools. Here, we present figeno, an application for generating publication-quality FIgures for GENOmics. Figeno particularly focuses on multi-region views across genomic breakpoints and on long reads with base modifications. In addition, we support epigenomic data including ATAC-seq, ChIP-seq or HiC, as well as whole genome sequencing data with copy numbers and structural variants. AVAILABILITY AND IMPLEMENTATION: Figeno is available as a python package with both a command line and graphical user interface. It can be installed via PyPI and the source code is available at https://github.com/CompEpigen/figeno. Etienne Sollier, Jessica Heilmann, Clarissa Gerhauser, Michael Scherer, Christoph Plass, Pavlo Lutsik |
Bioinform. | 2 |