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 Tools annual

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 Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

The rapidly changing landscape of sequencing technologies brings newopportunities to genomics research. Longer sequence reads and higher sequencethroughput coupled with ever-improving base accuracy and decreasing per-basecost is now making long reads suitable for analyzing polymorphic regions of thehuman genome, such as those of the human leucocyte antigen (HLA) gene complex.Here I present a simple protocol for predicting HLA signatures from wholegenome shotgun (WGS) long sequencing reads, by directly streaming sequencealignments into HLAminer. The method is as simple as running minimap2, itscales with the number of sequences to align, and can be used with any readaligner capable of sam format output without the need to store bulky alignmentfiles to disk. I show how the predictions are robust even with older and less[base] accurate WGS nanopore datasets and relatively low (10X) sequencecoverage and present a step-by-step protocol to predict HLA class I and IIgenes from the long sequencing reads of modern third-generation technologies.

HLA predictions from long sequence read alignments, streamed directly into HLAminer