ArticleBMC genomics2024
Sequencing by binding rivals SMOR error-corrected sequencing by synthesis technology for accurate detection and quantification of minor (< 0.1%) subpopulation variants.
Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Advancing risk gene discovery across the allele frequency spectrum.HGG advances · 2026Review
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- Short-Read Sequencing Benchmarking with Donor-Specific Assemblies.bioRxiv : the preprint server for biology · 2026Article
- A complete human pancreatic cancer genome.bioRxiv : the preprint server for biology · 2026Article
- Screening for heterogeneous drug resistance in tuberculosis and its impact on clinical prognosis: A comprehensive review.iScience · 2026Review
- Heteroresistance inFrontiers in cellular and infection microbiology · 2026Review
- Article
- Development and extensive sequencing of a broadly-consented Genome in a Bottle matched tumor-normal pair.Scientific data · 2025Article
- Development and extensive sequencing of a broadly-consented Genome in a Bottle matched tumor-normal pair.bioRxiv : the preprint server for biology · 2025Article
- Sequencing by Binding rivals error-corrected Sequencing by Synthesis technology for accurate detection and quantification of minor (<0.1%) subpopulation variants.Research square · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundDetecting very minor (< 1%) subpopulations using next-generation sequencing is a critical need for multiple applications, including the detection of drug resistant pathogens and somatic variant detection in oncology. A recently available sequencing approach termed 'sequencing by binding (SBB)' claims to have higher base calling accuracy data "out of the box." This paper evaluates the utility of using SBB for the detection of ultra-rare drug resistant subpopulations in Mycobacterium tuberculosis (Mtb) using a targeted amplicon assay and compares the performance of SBB to single molecule overlapping reads (SMOR) error corrected sequencing by synthesis (SBS) data.
resultsSBS displayed an elevated error rate when compared to SMOR error-corrected SBS and SBB techniques. SMOR error-corrected SBS and SBB technologies performed similarly within the linear range studies and error rate studies.
conclusionsWith lower sequencing error rates within SBB sequencing, this technique looks promising for both targeted and unbiased whole genome sequencing, leading to the identification of minor (< 1%) subpopulations without the need for error correction methods.
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