ArticleMolecular ecology resources2025
CCS-Consensuser: A Haplotype-Aware Consensus Generator for PacBio Amplicon Sequences.
Article in Molecular ecology resources, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Phylogenetic Authentication of Amplicon Sequence Variants in Single-Specimen Metabarcoding of Tropical Insects.Molecular ecology resources · 2026Article
- Genomic Insights into the Molecular Basis of Broad Host Adaptability of the Entomopathogenic FungusJournal of fungi (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
DNA sequencing technology has undergone substantial improvements in recent years, to the extent that Third Generation Sequencing platforms are capable of massively generating long-reads. Amplicon sequencing has been among the most popular techniques due to its wide application in diverse fields of biological sciences. However, there is a lack of software specifically designed to analyse intra-individual genetic variation using amplicon long-read data. Here, we present CCS-consensuser, an end-to-end pipeline that generates consensus sequences from amplicon sequencing using high-fidelity reads produced by PacBio circular consensus sequencing (CCS). We evaluated the concordance of the results produced using CCS + CCS-consensuser and other sequencing platforms (Illumina and Sanger), as well as accuracy using a simulated dataset. This assessment showed that CCS amplicon data coupled with CCS-consensuser can produce high-quality sequences (PHRED > 30). The pipeline resulted in high proportions of identical sequence bins for real data, achieving up to 94.94% concordance with COI Sanger sequences and 92.61% with nuclear loci Illumina sequences (considering heterozygous loci), and 95.55% with a fully phased nuclear simulated dataset. Furthermore, our pipeline can be used to detect heteroplasmy in mtDNA, cross-contamination, resolve the phase of nuclear genes in diploid organisms, and conceivably for multi-copy gene systems such as rDNA. These results not only support its potential for application in studies using haploid data such as DNA barcoding, but also demonstrate its unique capacity to explore within individual haplotype variation. Therefore, our strategy shows promise for a broad range of applications in biology and medicine that have been challenging to assess using traditional techniques.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.