GBC: a parallel toolkit based on highly addressable byte-encoding blocks for extremely large-scale genotypes of species

Whole -genome sequencing projects of millions of subjects contain enormous genotypes, entailing a huge memory burden and time for computation. Here, we present GBC, a toolkit for rapidly compressing large-scale genotypes into highly addressable byte-encoding blocks under an optimized parallel framew...

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Veröffentlicht in:	Genome Biology Jg. 24; H. 1; S. 76
Hauptverfasser:	Zhang, Liubin, Yuan, Yangyang, Peng, Wenjie, Tang, Bin, Li, Mulin Jun, Gui, Hongsheng, Wang, Qiang, Li, Miaoxin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 17.04.2023 Springer Nature B.V BMC
Schlagworte:	Algorithms Animal Genetics and Genomics Bioinformatics Biomedical and Life Sciences Byte-encoding genotypes Chromosomes Compression Data Compression - methods Datasets Design Evolutionary Biology genome Genomes Genomics Genomics - methods Genotype Genotype & phenotype Genotype compression Genotype management Genotypes Highly addressable genotype blocks Human Genetics Humans Large-scale genotypes Life Sciences Localization memory Method Microbial Genetics and Genomics Parallelization algorithm Plant Genetics and Genomics Software species Whole genome sequencing Parallelization algorithm Cloud computation Genotype compression Highly addressable genotype blocks Genotype management Byte-encoding genotypes Large-scale genotypes
ISSN:	1474-760X, 1474-7596, 1474-760X
Online-Zugang:	Volltext
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