Demo Data from EDBT 2026 / reviewers in the wild / expert
Ellie E. Armstrong
dblp:370/4648
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2023
0000-0001-7107-6318ORCID · 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% |
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 › population genetics
population genomics |
0.7 | 1 | 2023 | RatesTools: a Nextflow pipeline for detecting de novo germline mutations in pedigree sequence data · Bioinform. 2023 |
Methods — techniques the papers use, named apart from their topics
variant calling · 0.7quality filtering · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | RatesTools: a Nextflow pipeline for detecting de novo germline mutations in pedigree sequence dataabstractSUMMARY: Here, we introduce RatesTools, an automated pipeline to infer de novo mutation rates from parent-offspring trio data of diploid organisms. By providing a reference genome and high-coverage, whole-genome resequencing data of a minimum of three individuals (sire, dam and offspring), RatesTools provides a list of candidate de novo mutations and calculates a putative mutation rate. RatesTools uses several quality filtering steps, such as discarding sites with low mappability and highly repetitive regions, as well as sites with low genotype and mapping qualities to find potential de novo mutations. In addition, RatesTools implements several optional filters based on post hoc assumptions of the heterozygosity and mutation rate of the organism. Filters are highly customizable to user specifications in order to maximize utility across a wide range of applications. AVAILABILITY AND IMPLEMENTATION: RatesTools is freely available at https://github.com/campanam/RatesTools under a Creative Commons Zero (CC0) license. The pipeline is implemented in Nextflow (Di Tommaso et al., 2017), Ruby (http://www.ruby-lang.org), Bash (https://www.gnu.org/software/bash/) and R (R Core Team, 2020) with reliance upon several other freely available tools. RatesTools is compatible with macOS and Linux operating systems. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Ellie E. Armstrong, Michael G. Campana |
Bioinform. | 1 |