Demo Data from VLDB 2026 / reviewers in the wild / expert
Camilla K. Lemvigh
dblp:292/8612
· 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 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › metagenomics
k-mer-based classification |
0.5 | 1 | 2021 | Automated download and clean-up of family-specific databases for kmer-based virus identification · Bioinform. 2021 |
Bioinformatics and computational biology › biological database
sequence database curation |
0.5 | 1 | 2021 | Automated download and clean-up of family-specific databases for kmer-based virus identification · Bioinform. 2021 |
Methods — techniques the papers use, named apart from their topics
automated pipeline · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Automated download and clean-up of family-specific databases for kmer-based virus identificationabstractSUMMARY: Here, we present an automated pipeline for Download Of NCBI Entries (DONE) and continuous updating of a local sequence database based on user-specified queries. The database can be created with either protein or nucleotide sequences containing all entries or complete genomes only. The pipeline can automatically clean the database by removing entries with matches to a database of user-specified sequence contaminants. The default contamination entries include sequences from the UniVec database of plasmids, marker genes and sequencing adapters from NCBI, an E.coli genome, rRNA sequences, vectors and satellite sequences. Furthermore, duplicates are removed and the database is automatically screened for sequences from green fluorescent protein, luciferase and antibiotic resistance genes that might be present in some GenBank viral entries, and could lead to false positives in virus identification. For utilizing the database, we present a useful opportunity for dealing with possible human contamination. We show the applicability of DONE by downloading a virus database comprising 37 virus families. We observed an average increase of 16 776 new entries downloaded per month for the 37 families. In addition, we demonstrate the utility of a custom database compared to a standard reference database for classifying both simulated and real sequence data. AVAILABILITYAND IMPLEMENTATION: The DONE pipeline for downloading and cleaning is deposited in a publicly available repository (https://bitbucket.org/genomicepidemiology/done/src/master/). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Rosa L. Allesøe, Camilla K. Lemvigh, My V. T. Phan, Philip T. L. C. Clausen, Alfred F. Florensa, Marion Koopmans, Ole Lund, Matthew Cotten |
Bioinform. | 2 |