Demo Data from EDBT 2026 / reviewers in the wild / expert
Samuel O'donnell
dblp:276/0554
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0003-2447-1993ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, 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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
genomics |
0.4 | 1 | 2020 | MUM&Co: accurate detection of all SV types through whole-genome alignment · Bioinform. 2020 |
Bioinformatics and computational biology › comparative genomics › genome rearrangement
inversion detection |
0.4 | 1 | 2020 | MUM&Co: accurate detection of all SV types through whole-genome alignment · Bioinform. 2020 |
Bioinformatics and computational biology › genomics › structural variation
structural variation detection |
0.4 | 1 | 2020 | MUM&Co: accurate detection of all SV types through whole-genome alignment · Bioinform. 2020 |
Methods — techniques the papers use, named apart from their topics
whole-genome alignment · 0.4nucmer · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | MUM&Co: accurate detection of all SV types through whole-genome alignmentabstractSUMMARY: MUM&Co is a single bash script to detect structural variations (SVs) utilizing whole-genome alignment (WGA). Using MUMmer's nucmer alignment, MUM&Co can detect insertions, deletions, tandem duplications, inversions and translocations greater than 50 bp. Its versatility depends upon the WGA and therefore benefits from contiguous de-novo assemblies generated by third generation sequencing technologies. Benchmarked against five WGA SV-calling tools, MUM&Co outperforms all tools on simulated SVs in yeast, plant and human genomes and performs similarly in two real human datasets. Additionally, MUM&Co is particularly unique in its ability to find inversions in both simulated and real datasets. Lastly, MUM&Co's primary output is an intuitive tabulated file containing a list of SVs with only necessary genomic details. AVAILABILITY AND IMPLEMENTATION: https://github.com/SAMtoBAM/MUMandCo. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Samuel O'donnell, Gilles Fischer |
Bioinform. | 1 |