HIGHLIGHTS
- who: Liubin Zhang from the Zhongshan School of Medicine, Guangzhou, China have published the Article: GBC: a parallel toolkit based on highly addressable byte-encoding blocks for extremely large-scale genotypes of species, in the Journal: (JOURNAL)
- what: The authors demonstrate that GBC is up to 1000 times faster than state-of-the-art methods to access and manage compressed large-scale genotypes while maintaining a competitive compression ratio. The authors first proposed a unified data structure, Genotype Block (GTB) format, to store large-scale genotypes into many highly addressable byte-encoding compression blocks. Efficient . . .
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