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Sequence-matching adapter trimmers generate consistent quality and assembly metrics for Illumina sequencing of RNA viruses

Abstract Trimming adapters and low-quality bases from next-generation sequencing (NGS) data is crucial for optimal analysis. We evaluated six trimming programs, implementing five different algorithms, for their effectiveness in trimming adapters and improving quality, contig assembly, and single-nuc...

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Autori principali: Grace Nabakooza, Darlene D. Wagner, Nehalraza Momin, Rachel L. Marine, William C. Weldon, M. Steven Oberste
Natura: Artigo
Lingua:Inglês
Pubblicazione: BMC 2024-10-01
Serie:BMC Research Notes
Soggetti:
Next-generation sequencing
Illumina
Quality control
Adapter trimming
RNA viruses
De novo assembly
Accesso online:https://doi.org/10.1186/s13104-024-06951-0
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