Demo Data from VLDB 2026 / reviewers in the wild / expert
Ross Crowhurst
dblp:425/4451
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › sequence analysis › sequence assembly › genome assembly
assembly quality assessment |
0.8 | 1 | 2024 | AssemblyQC: a Nextflow pipeline for reproducible reporting of assembly quality · Bioinform. 2024 |
Bioinformatics and computational biology › sequence analysis › sequence assembly
genome assembly |
0.8 | 1 | 2024 | AssemblyQC: a Nextflow pipeline for reproducible reporting of assembly quality · Bioinform. 2024 |
Bioinformatics and computational biology › sequence analysis › sequence assembly
genome assembly validation |
0.2 | 1 | 2024 | AssemblyQC: a Nextflow pipeline for reproducible reporting of assembly quality · Bioinform. 2024 |
Methods — techniques the papers use, named apart from their topics
nextflow workflow · 0.8k-mer analysis · 0.8hi-c contact map visualization · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | AssemblyQC: a Nextflow pipeline for reproducible reporting of assembly qualityabstractSUMMARY: Genome assembly projects have grown exponentially due to breakthroughs in sequencing technologies and assembly algorithms. Evaluating the quality of genome assemblies is critical to ensure the reliability of downstream analysis and interpretation. To fulfil this task, we have developed the AssemblyQC pipeline that performs file-format validation, contaminant checking, contiguity measurement, gene- and repeat-space completeness quantification, telomere inspection, taxonomic assignment, synteny alignment, scaffold examination through Hi-C contact-map visualization, and assessments of completeness, consensus quality and phasing through k-mer analysis. It produces a comprehensive HTML report with method descriptions, tables, and visualizations. AVAILABILITY AND IMPLEMENTATION: The pipeline uses Nextflow for workflow orchestration and adheres to the best-practice established by the nf-core community. This pipeline offers a reproducible, scalable, and portable method to assess the quality of genome assemblies-the code is available online at GitHub: https://github.com/Plant-Food-Research-Open/assemblyqc. Usman Rashid, Jason Shiller, Ken Smith, Ross Crowhurst, Marcus Davy, Ting-Hsuan Chen, Ignacio Carvajal, Sarah Bailey, Susan Thomson 0003, Cecilia H. Deng |
Bioinform. | 5 |