Demo Data from EDBT 2026 / reviewers in the wild / expert
Anna Mantsoki
dblp:160/8028
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · unresolved
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 · 81% Computational science and engineering · 19% |
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 › sequence analysis
high-throughput sequencing data analysis |
0.2 | 1 | 2016 | Heat*seq: an interactive web tool for high-throughput sequencing experiment comparison with public data · Bioinform. 2016 |
Computational science and engineering › scientific visualization
interactive heatmap |
0.1 | 1 | 2016 | Heat*seq: an interactive web tool for high-throughput sequencing experiment comparison with public data · Bioinform. 2016 |
Bioinformatics and computational biology › omics data analysis
omics data visualization |
0.1 | 1 | 2016 | Heat*seq: an interactive web tool for high-throughput sequencing experiment comparison with public data · Bioinform. 2016 |
Methods — techniques the papers use, named apart from their topics
web application · 0.2correlation heatmap · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Heat*seq: an interactive web tool for high-throughput sequencing experiment comparison with public dataabstractBetter protocols and decreasing costs have made high-throughput sequencing experiments now accessible even to small experimental laboratories. However, comparing one or few experiments generated by an individual lab to the vast amount of relevant data freely available in the public domain might be limited due to lack of bioinformatics expertise. Though several tools, including genome browsers, allow such comparison at a single gene level, they do not provide a genome-wide view. We developed Heat*seq, a web-tool that allows genome scale comparison of high throughput experiments chromatin immuno-precipitation followed by sequencing, RNA-sequencing and Cap Analysis of Gene Expression) provided by a user, to the data in the public domain. Heat*seq currently contains over 12 000 experiments across diverse tissues and cell types in human, mouse and drosophila. Heat*seq displays interactive correlation heatmaps, with an ability to dynamically subset datasets to contextualize user experiments. High quality figures and tables are produced and can be downloaded in multiple formats. AVAILABILITY AND IMPLEMENTATION: Web application: http://www.heatstarseq.roslin.ed.ac.uk/ Source code: https://github.com/gdevailly CONTACT: [email protected] or [email protected] information: Supplementary data are available at Bioinformatics online. Guillaume Devailly, Anna Mantsoki, Anagha Joshi |
Bioinform. | 2 |