Demo Data from SIGIR 2026 / reviewers in the wild / expert
Felix Lenner
dblp:430/1310
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2026
—ORCID · unresolved
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 · 62% Medical and health informatics · 38% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Medical and health informatics
clinical genomics |
0.3 | 1 | 2026 | Nallo: a Nextflow pipeline for comprehensive human long-read genome analysis · Bioinform. 2026 |
Medical and health informatics › clinical diagnosis
rare disease diagnosis |
0.3 | 1 | 2026 | Nallo: a Nextflow pipeline for comprehensive human long-read genome analysis · Bioinform. 2026 |
Methods — techniques the papers use, named apart from their topics
variant annotation · 1.0genome assembly · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Nallo: a Nextflow pipeline for comprehensive human long-read genome analysisabstractMOTIVATION: Long-read sequencing (LRS) is increasingly used for human medical research and clinical diagnostics due to its capacity to generate complete genome information. However, there is a lack of robust and easy-to-use pipelines for comprehensive LRS data analysis. RESULTS: Here we present Nallo, a Nextflow pipeline for analysis of PacBio and Oxford Nanopore data, with additional support for rare disease research projects. The pipeline detects a wide range of genetic variants, performs genome assembly, and reports CpG methylation. It also enables annotation and ranking of variants based on their predicted functional consequences. AVAILABILITY AND IMPLEMENTATION: Nallo is available from GitHub: https://github.com/genomic-medicine-sweden/nallo. Felix Lenner, Anders Jemt, Lucia Peña Pérez, Ramprasad Neethiraj, Peter Pruisscher, Daniel Schmitz, Annick Renevey, Pádraic Corcoran, Daniel Nilsson, Jesper Eisfeldt, Anna Lindstrand, Valtteri Wirta, Adam Ameur, Lars Feuk |
Bioinform. | 1 |