Demo Data from EDBT 2026 / reviewers in the wild / expert
Ammar Tareen
dblp:133/2477
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
sequence analysis |
0.4 | 1 | 2020 | Logomaker: beautiful sequence logos in Python · Bioinform. 2020 |
Bioinformatics and computational biology › sequence analysis
sequence visualization |
0.4 | 1 | 2020 | Logomaker: beautiful sequence logos in Python · Bioinform. 2020 |
Methods — techniques the papers use, named apart from their topics
matplotlib rendering · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Logomaker: beautiful sequence logos in PythonabstractSUMMARY: Sequence logos are visually compelling ways of illustrating the biological properties of DNA, RNA and protein sequences, yet it is currently difficult to generate and customize such logos within the Python programming environment. Here we introduce Logomaker, a Python API for creating publication-quality sequence logos. Logomaker can produce both standard and highly customized logos from either a matrix-like array of numbers or a multiple-sequence alignment. Logos are rendered as native matplotlib objects that are easy to stylize and incorporate into multi-panel figures. AVAILABILITY AND IMPLEMENTATION: Logomaker can be installed using the pip package manager and is compatible with both Python 2.7 and Python 3.6. Documentation is provided at http://logomaker.readthedocs.io; source code is available at http://github.com/jbkinney/logomaker. Ammar Tareen, Justin B. Kinney |
Bioinform. | 1 |
| 2012 | Configurations and Path Planning of Convex Planar Polygonal Loops
Lee Rudolph, Michael Chou, Sean Corbett, Emily Eagle, Dylan Glotzer, Jake Kramer, Jonathan Moran, Christopher Pietras, Ammar Tareen, Matthew Valko |
WAFR | 10 |