Demo Data from EDBT 2026 / reviewers in the wild / expert
Florian Heigwer
dblp:177/0039
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2017
0000-0002-8230-1485ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2
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% | |
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 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 › drug discovery
high-throughput screening |
0.3 | 1 | 2017 | HTSvis: a web app for exploratory data analysis and visualization of arrayed high-throughput screens · Bioinform. 2017 |
Bioinformatics and computational biology
functional genomics |
0.2 | 1 | 2016 | caRpools: an R package for exploratory data analysis and documentation of pooled CRISPR/Cas9 screens · Bioinform. 2016 |
Visualization and visual analytics
interactive visualization |
0.1 | 1 | 2017 | HTSvis: a web app for exploratory data analysis and visualization of arrayed high-throughput screens · Bioinform. 2017 |
Bioinformatics and computational biology › genomics
next-generation sequencing data analysis |
0.1 | 1 | 2016 | caRpools: an R package for exploratory data analysis and documentation of pooled CRISPR/Cas9 screens · Bioinform. 2016 |
Methods — techniques the papers use, named apart from their topics
statistical analysis · 0.8quality control · 0.6exploratory data analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | HTSvis: a web app for exploratory data analysis and visualization of arrayed high-throughput screensabstractSUMMARY: Arrayed high-throughput screens (HTS) cover a broad range of applications using RNAi or small molecules as perturbations and specialized software packages for statistical analysis have become available. However, exploratory data analysis and integration of screening results has remained challenging due to the size of the data sets and the lack of user-friendly tools for interpretation and visualization of screening results. Here we present HTSvis, a web application to interactively visualize raw data, perform quality control and assess screening results from single to multi-channel measurements such as image-based screens. Per well aggregated raw and analyzed data of various assay types and scales can be loaded in a generic tabular format. AVAILABILITY AND IMPLEMENTATION: HTSvis is distributed as an open-source R package, downloadable from https://github.com/boutroslab/HTSvis and can also be accessed at http://htsvis.dkfz.de . CONTACT: [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online . Christian Scheeder, Florian Heigwer, Michael Boutros |
Bioinform. | 2 |
| 2016 | caRpools: an R package for exploratory data analysis and documentation of pooled CRISPR/Cas9 screensabstractMOTIVATION: Genetic screens by CRISPR/Cas9-mediated genome engineering have become a powerful tool for functional genomics. However, there is currently a lack of end-to-end software pipelines to analyze CRISPR/Cas9 screens based on next generation sequencing. RESULTS: The CRISPR-AnalyzeR for pooled screens (caRpools) is an R package for exploratory data analysis that provides a complete workflow to analyze CRISPR/Cas9 screens. To further support the analysis of large-scale screens, caRpools integrates screening documentation and generation of standardized analysis reports. AVAILABILITY AND IMPLEMENTATION: caRpools, manuals and an open virtual appliance are available at http://github.com/boutroslab/caRpools. Jan Winter, Marco Breinig, Florian Heigwer, Dirk Brügemann, Svenja Leible, Oliver Pelz, Tianzuo Zhan, Michael Boutros |
Bioinform. | 3 |