English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The third-generation long reads sequencing technologies, such as PacBio andNanopore, have great advantages over second-generation Illumina sequencing inde novo assembly studies. However, due to the inherent low base accuracy,third-generation sequencing data cannot be used for k-mer counting andestimating genomic profile based on k-mer frequencies. Thus, in current genomeprojects, second-generation data is also necessary for accurately determininggenome size and other genomic characteristics. We show that correctedthird-generation data can be used to count k-mer frequencies and estimategenome size reliably, in replacement of using second-generation data.Therefore, future genome projects can depend on only one sequencing technologyto finish both assembly and k-mer analysis, which will largely decreasesequencing cost in both time and money. Moreover, we present a fastlight-weight tool kmerfreq and use it to perform all the k-mer counting tasksin this work. We have demonstrated that corrected third-generation sequencingdata can be used to estimate genome size and developed a new open-source C/C++k-mer counting tool, kmerfreq, which is freely available athttps://github.com/fanagislab/kmerfreq.

Estimation of genome size using k-mer frequencies from corrected long reads