2014/04/01 by Anthony Bolger, Marc Lohse, Björn Usadel · 17 citations
Biochemistry, Genetics and Molecular Biology · #Genomics and Phylogenetic Studies #Genomics and Rare Diseases #Genetics, Bioinformatics, and Biomedical Research #Preprocessor #Computer science #Flexibility (engineering) #Java #Data mining #Data pre-processing #Sequence (biology) #Operating system #Programming language #Biology
paper · pdf · doi:10.1093/bioinformatics/btu170
openalex publication_date 2014/04/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
MOTIVATION: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. RESULTS: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. AVAILABILITY AND IMPLEMENTATION: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.