Demo Data from EDBT 2026 / reviewers in the wild / expert
Felix Van der Jeugt
dblp:181/1342
· DBLP profile ↗
3ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0003-3168-927XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 3 · 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
2 papers |
Bioinformatics and computational biology · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › proteomics
metaproteomics |
0.7 | 2 | 2020 | Unipept CLI 2.0: adding support for visualizations and functional annotations · Bioinform. 2020 Unipept web services for metaproteomics analysis · Bioinform. 2016 |
Bioinformatics and computational biology › genome annotation
functional annotation |
0.4 | 1 | 2020 | Unipept CLI 2.0: adding support for visualizations and functional annotations · Bioinform. 2020 |
Bioinformatics and computational biology › metagenomics
taxonomic analysis |
0.4 | 1 | 2020 | Unipept CLI 2.0: adding support for visualizations and functional annotations · Bioinform. 2020 |
Bioinformatics and computational biology › proteomics
peptide identification |
0.1 | 1 | 2016 | Unipept web services for metaproteomics analysis · Bioinform. 2016 |
Bioinformatics and computational biology
proteomics |
0.1 | 1 | 2016 | Unipept web services for metaproteomics analysis · Bioinform. 2016 |
Methods — techniques the papers use, named apart from their topics
command-line interface · 0.4application programming interface · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | FragGeneScanRs: faster gene prediction for short readsabstractBACKGROUND: FragGeneScan is currently the most accurate and popular tool for gene prediction in short and error-prone reads, but its execution speed is insufficient for use on larger data sets. The parallelization which should have addressed this is inefficient. Its alternative implementation FragGeneScan+ is faster, but introduced a number of bugs related to memory management, race conditions and even output accuracy. RESULTS: This paper introduces FragGeneScanRs, a faster Rust implementation of the FragGeneScan gene prediction model. Its command line interface is backward compatible and adds extra features for more flexible usage. Its output is equivalent to the original FragGeneScan implementation. CONCLUSIONS: Compared to the current C implementation, shotgun metagenomic reads are processed up to 22 times faster using a single thread, with better scaling for multithreaded execution. The Rust code of FragGeneScanRs is freely available from GitHub under the GPL-3.0 license with instructions for installation, usage and other documentation ( https://github.com/unipept/FragGeneScanRs ). Felix Van der Jeugt, Peter Dawyndt, Bart Mesuere |
BMC Bioinform. | 1 |
| 2020 | Unipept CLI 2.0: adding support for visualizations and functional annotationsabstractSUMMARY: Unipept is an ecosystem of tools developed for fast metaproteomics data-analysis consisting of a web application, a set of web services (application programming interface, API) and a command-line interface (CLI). After the successful introduction of version 4 of the Unipept web application, we here introduce version 2.0 of the API and CLI. Next to the existing taxonomic analysis, version 2.0 of the API and CLI provides access to Unipept's powerful functional analysis for metaproteomics samples. The functional analysis pipeline supports retrieval of Enzyme Commission numbers, Gene Ontology terms and InterPro entries for the individual peptides in a metaproteomics sample. This paves the way for other applications and developers to integrate these new information sources into their data processing pipelines, which greatly increases insight into the functions performed by the organisms in a specific environment. Both the API and CLI have also been expanded with the ability to render interactive visualizations from a list of taxon ids. These visualizations are automatically made available on a dedicated website and can easily be shared by users. AVAILABILITY AND IMPLEMENTATION: The API is available at http://api.unipept.ugent.be. Information regarding the CLI can be found at https://unipept.ugent.be/clidocs. Both interfaces are freely available and open-source under the MIT license. CONTACT: [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Pieter Verschaffelt, Philippe Van Thienen, Tim Van Den Bossche, Felix Van der Jeugt, Caroline De Tender, Lennart Martens, Peter Dawyndt, Bart Mesuere |
Bioinform. | 4 |
| 2016 | Unipept web services for metaproteomics analysisabstractUNLABELLED: Unipept is an open source web application that is designed for metaproteomics analysis with a focus on interactive datavisualization. It is underpinned by a fast index built from UniProtKB and the NCBI taxonomy that enables quick retrieval of all UniProt entries in which a given tryptic peptide occurs. Unipept version 2.4 introduced web services that provide programmatic access to the metaproteomics analysis features. This enables integration of Unipept functionality in custom applications and data processing pipelines. AVAILABILITY AND IMPLEMENTATION: The web services are freely available at http://api.unipept.ugent.be and are open sourced under the MIT license. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Bart Mesuere, Toon Willems, Felix Van der Jeugt, Bart Devreese, Peter Vandamme, Peter Dawyndt |
Bioinform. | 3 |