Article
Easing genomic surveillance: A comprehensive performance evaluation of long-read assemblers across multi-strain mixture data of HIV-1 and Other pathogenic viruses for constructing a user-friendly bioinformatic pipeline
2024-05-31
Abstract excerpt
Background Determining the appropriate computational requirements and software performance is essential for efficient genomic surveillance. The lack of standardized benchmarking complicates software selection, especially with limited resources. Methods We developed a containerized benchmarking pipeline to evaluate seven long-read assemblers—Canu, GoldRush, MetaFlye, Strainline, HaploDMF, iGDA, and RVHaplo—for vira...
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Identifiers and source
- Literature Corpus work
- 4152c3d2-fcd4-5f73-94c8-320498d29d37
- DOI
- 10.12688/f1000research.149577.1
