Demo Data from EDBT 2026 / reviewers in the wild / expert
Jonathan Margoliash
dblp:239/4106
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · unresolved
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 › statistical genetics › genotype data analysis
genotype quality control |
0.5 | 1 | 2021 | TRTools: a toolkit for genome-wide analysis of tandem repeats · Bioinform. 2021 |
Bioinformatics and computational biology › genomics › repetitive DNA analysis
tandem repeat analysis |
0.5 | 1 | 2021 | TRTools: a toolkit for genome-wide analysis of tandem repeats · Bioinform. 2021 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | TRTools: a toolkit for genome-wide analysis of tandem repeatsabstractSUMMARY: A rich set of tools have recently been developed for performing genome-wide genotyping of tandem repeats (TRs). However, standardized tools for downstream analysis of these results are lacking. To facilitate TR analysis applications, we present TRTools, a Python library and suite of command line tools for filtering, merging and quality control of TR genotype files. TRTools utilizes an internal harmonization module, making it compatible with outputs from a wide range of TR genotypers. AVAILABILITY AND IMPLEMENTATION: TRTools is freely available at https://github.com/gymreklab/TRTools. Detailed documentation is available at https://trtools.readthedocs.io. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Nima Mousavi, Jonathan Margoliash, Neha Pusarla, Shubham Saini, Richard Yanicky, Melissa Gymrek |
Bioinform. | 2 |