Demo Data from EDBT 2026 / reviewers in the wild / expert
Kristofer Sandås
dblp:371/1765
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0009-0006-0949-7254ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 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
metagenomics |
0.8 | 1 | 2024 | Nanometa Live: a user-friendly application for real-time metagenomic data analysis and pathogen identification · Bioinform. 2024 |
Bioinformatics and computational biology › metagenomics
pathogen identification |
0.8 | 1 | 2024 | Nanometa Live: a user-friendly application for real-time metagenomic data analysis and pathogen identification · Bioinform. 2024 |
Bioinformatics and computational biology › sequence analysis › nanopore sequencing
real-time sequencing analysis |
0.2 | 1 | 2024 | Nanometa Live: a user-friendly application for real-time metagenomic data analysis and pathogen identification · Bioinform. 2024 |
Methods — techniques the papers use, named apart from their topics
kraken2 · 0.8BLAST · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Nanometa Live: a user-friendly application for real-time metagenomic data analysis and pathogen identificationabstractSUMMARY: Nanometa Live presents a user-friendly interface designed for real-time metagenomic data analysis and pathogen identification utilizing Oxford Nanopore Technologies' MinION and Flongle flow cells. It offers an efficient workflow and graphical interface for the visualization and interpretation of metagenomic data as it is being generated. Key features include automated BLAST validation, streamlined handling of custom Kraken2 databases, and a simplified graphical user interface for enhanced user experience. Nanometa Live is particularly notable for its capability to run without constant internet or server access once installed, setting it apart from similar tools. It provides a comprehensive view of taxonomic composition and facilitates the detection of user-defined pathogens or other species of interest, catering to both researchers and clinicians. AVAILABILITY AND IMPLEMENTATION: Nanometa Live has been implemented as a local web application using the Dash framework with Snakemake handling the data processing. The source code is freely accessible on the GitHub repository at https://github.com/FOI-Bioinformatics/nanometa_live and it is easily installable using Bioconda. It includes containerization support via Docker and Singularity, ensuring ease of use, reproducibility, and portability. Kristofer Sandås, Jacob Lewerentz, Edvin Karlsson, Linda Karlsson, David Sundell, Kotryna Simonyté-Sjödin, Andreas Sjödin |
Bioinform. | 1 |