adegenet 1.3-1: new tools for the analysis of genome-wide SNP data
adegenet 1.3-1: new tools for the analysis of genome-wide SNP data
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DOI：
10.1093/bioinformatics/btr521
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发表时间：
2011-11-01
期刊：
影响因子：
5.8
通讯作者：
Ahmed, Ismail
中科院分区：
文献类型：
--
作者：
Jombart, Thibaut;Ahmed, Ismail
虽然R软件正在成为遗传数据分析的标准，但传统的群体遗传学工具正受到基因组序列日益增加的挑战。需要专用工具来利用下一代测序技术产生的大量信息。我们介绍了在adegenet 1.3-1包中实现的用于处理和分析全基因组单核苷酸多态性（SNP）数据的新工具。使用SNP数据的比特级编码方案和并行计算，adegenet可以使用标准个人计算机分析大型全基因组SNP数据集。
While the R software is becoming a standard for the analysis of genetic data, classical population genetics tools are being challenged by the increasing availability of genomic sequences. Dedicated tools are needed for harnessing the large amount of information generated by next-generation sequencing technologies. We introduce new tools implemented in the adegenet 1.3-1 package for handling and analyzing genome-wide single nucleotide polymorphism ( SNP) data. Using a bit-level coding scheme for SNP data and parallelized computation, adegenet enables the analysis of large genome-wide SNPs datasets using standard personal computers.