VLDB 2026 Research / reviewers in the wild / expert
Samuel H. Church
dblp:370/0634
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0002-8451-103XORCID · reported
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 2, 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 › de novo assembly
de bruijn graph assembly |
1.0 | 1 | 2026 | Sharkmer: repurposing PCR primers for targeted genome assembly using in silico PCR · Bioinform. 2026 |
Bioinformatics and computational biology › sequence analysis › sequence assembly
genome assembly |
1.0 | 1 | 2026 | Sharkmer: repurposing PCR primers for targeted genome assembly using in silico PCR · Bioinform. 2026 |
Methods — techniques the papers use, named apart from their topics
in silico PCR · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Sharkmer: repurposing PCR primers for targeted genome assembly using in silico PCRabstractSUMMARY: We introduce an in silico PCR (sPCR) method for the assembly of specific genomic regions spanned by PCR primers using raw sequence reads. This allows a user to quickly isolate the exact regions that are abundant in public archives of gene sequences, leveraging the decades of work that have gone into optimizing primer sequences for benchtop PCR. We implement sPCR in sharkmer as a targeted de Bruijn graph assembler seeded with the forward primer sequence and terminated with the reverse primer sequence. This is useful for a variety of routine tasks, including validating the species identity of a dataset, identifying contaminants, and quickly building phylogenies from raw sequence data. AVAILABILITY AND IMPLEMENTATION: sharkmer is written in Rust. Code, instructions for installation and use, tests, and other resources are available in the GitHub repository at https://github.com/caseywdunn/sharkmer and at Zenodo with DOI 10.5281/zenodo.19020708. It can also be installed via bioconda. Casey W. Dunn, Samuel H. Church |
Bioinform. | 2 |