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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主要な著者:	Grace Nabakooza, Darlene D. Wagner, Nehalraza Momin, Rachel L. Marine, William C. Weldon, M. Steven Oberste
フォーマット:	Artigo
言語:	Inglês
出版事項:	BMC 2024-10-01
シリーズ:	BMC Research Notes
主題:	Next-generation sequencing Illumina Quality control Adapter trimming RNA viruses De novo assembly
オンライン･アクセス:	https://doi.org/10.1186/s13104-024-06951-0
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