Rainer Schwacke

dblp:438/4581 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none

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%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Parallel and multicore computing · 50% Processor architecture and microarchitecture · 50%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis
sequencing data processing
1.012026
Trimmomatic: a decade of feature-rich, high-performance NGS read preprocessing · Bioinform. 2026
Processor architecture and microarchitecture › multithreading
multithreaded execution
0.312026
Trimmomatic: a decade of feature-rich, high-performance NGS read preprocessing · Bioinform. 2026
Parallel and multicore computing
parallel programming models
0.312026
Trimmomatic: a decade of feature-rich, high-performance NGS read preprocessing · Bioinform. 2026

Methods — techniques the papers use, named apart from their topics

parallel compression · 2.0multithreading · 2.0
YearPublicationVenuePosition
2026 Trimmomatic: a decade of feature-rich, high-performance NGS read preprocessing
abstract
MOTIVATION: Trimmomatic is a widely adopted tool for preprocessing high-throughput sequencing data, particularly from Illumina platforms. Since its original publication in 2014, the volume and complexity of sequencing data have increased dramatically, necessitating continuous tool evolution. RESULTS: We present the substantial updates to Trimmomatic over the past decade. Key enhancements include a robust multithreading model for high-performance parallel processing, parallel GZIP/BZIP2 compression, and a suite of new trimming and filtering steps to provide users with more flexible quality control. Usability has been significantly improved through automatic PHRED encoding detection and simplified file handling. The codebase has also been modernized including Maven support, and continuous integration to ensure long-term sustainability and community contributions. These updates solidify Trimmomatic's role as an efficient, flexible, and essential tool in modern bioinformatics pipelines. AVAILABILITY: Trimmomatic remains open-source under the GPL V3 license, with the latest version available at https://github.com/usadellab/Trimmomatic and also on our website https://www.plabipd.de/trimmomatic_main.html (DOI: https://doi.org/10.5281/zenodo.18678155).
Sebastian Beier, Anthony M. Bolger, Marie E. Bolger, Rainer Schwacke, Björn Usadel
Bioinform.4