ArticleBioinformatics (Oxford, England)2024
findGSEP: estimating genome size of polyploid species using k-mer frequencies.
Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Flow Cytometry and K-mer-Based Approach for Genome Size Estimation of Clusterbean: A Case Study.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Comparative genomics analyses reveal genomic variation and evolutionary adaptation in Dendrobium orchids.Nature communications · 2025Article
- Diploid assembly of the Mexican lime genome.G3 (Bethesda, Md.) · 2025Article
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Authors and funding
8 authors.
Funding
Abstract
summaryEstimating genome size using k-mer frequencies, which plays a fundamental role in designing genome sequencing and analysis projects, has remained challenging for polyploid species, i.e., ploidy p > 2. To address this, we introduce "findGSEP," which is designed based on iterative curve fitting of k-mer frequencies. Precisely, it first disentangles up to p normal distributions by analyzing k-mer frequencies in whole genome sequencing of the focal species. Second, it computes the sizes of genomic regions related to 1∼p (homologous) chromosome(s) using each respective curve fitting, from which it infers the full polyploid and average haploid genome size. "findGSEP" can handle any level of ploidy p, and infer more accurate genome size than other well-known tools, as shown by tests using simulated and real genomic sequencing data of various species including octoploids. AVAILABILITY AND IMPLEMENTATION: "findGSEP" was implemented as a web server, which is freely available at http://146.56.237.198:3838/findGSEP/. Also, "findGSEP" was implemented as an R package for parallel processing of multiple samples. Source code and tutorial on its installation and usage is available at https://github.com/sperfu/findGSEP.
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Registered trials
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