VLDB 2026 Research / reviewers in the wild / expert
Daniel Maloney
dblp:425/4490
· 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
genomics |
0.8 | 1 | 2024 | Publication-ready single nucleotide polymorphism visualization with snipit · Bioinform. 2024 |
Bioinformatics and computational biology › sequence analysis
sequence visualization |
0.8 | 1 | 2024 | Publication-ready single nucleotide polymorphism visualization with snipit · Bioinform. 2024 |
Bioinformatics and computational biology › molecular evolution
recombination detection |
0.2 | 1 | 2024 | Publication-ready single nucleotide polymorphism visualization with snipit · Bioinform. 2024 |
Methods — techniques the papers use, named apart from their topics
sequence alignment · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Publication-ready single nucleotide polymorphism visualization with snipitabstractSUMMARY: Snipit is an analysis and visualization tool designed for summarizing single nucleotide polymorphisms in sequences in comparison to a reference sequence. This tool efficiently catalogues nucleotide and amino acid differences, enabling clear comparisons through customizable, publication-ready figures. With features such as configurable colour palettes, customizable record sorting, and the ability to output figures in multiple formats, snipit offers a user-friendly interface for researchers across diverse disciplines. In addition, snipit includes a specialized recombi-mode for illustrating recombination patterns, which can highlight otherwise often difficult-to-detect relationships between sequences. AVAILABILITY AND IMPLEMENTATION: Snipit is an open-source python-based tool that is hosted on GitHub under a GNU-GPL 3.0 licence (https://github.com/aineniamh/snipit). It can be installed from PyPi using pip. Source code and additional documentation can be found on the GitHub repository. Áine Niamh O'toole, Ammar Aziz, Daniel Maloney |
Bioinform. | 3 |