Demo Data from EDBT 2026 / reviewers in the wild / expert
Dilawar Singh
dblp:132/2264
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0002-4645-3211ORCID · 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% | |
| Software engineering, system software, and programming languages
1 paper |
Programming languages and type systems · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › systems biology
biochemical simulation |
0.5 | 1 | 2021 | Python interfaces for the Smoldyn simulator · Bioinform. 2021 |
Methods — techniques the papers use, named apart from their topics
particle-based simulation · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Python interfaces for the Smoldyn simulatorabstractMOTIVATION: Smoldyn is a particle-based biochemical simulator that is frequently used for systems biology and biophysics research. Previously, users could only define models using text-based input or a C/C++ application programming interface (API), which were convenient, but limited extensibility. RESULTS: We added a Python API to Smoldyn to improve integration with other software tools, such as Jupyter notebooks, other Python code libraries and other simulators. It includes low-level functions that closely mimic the existing C/C++ API and higher-level functions that are more convenient to use. These latter functions follow modern object-oriented Python conventions. AVAILABILITY AND IMPLEMENTATION: Smoldyn is open source and free, available at http://www.smoldyn.org and can be installed with the Python package manager pip. It runs on Mac, Windows and Linux. Documentation is available at http://www.smoldyn.org/SmoldynManual.pdf and https://smoldyn.readthedocs.io/en/latest/python/api.html. Dilawar Singh, Steven S. Andrews |
Bioinform. | 1 |