生物
索引
计算生物学
深度测序
基因组学
国际人类基因组单体型图计划
DNA测序
基因组
人口
基因组浏览器
单细胞测序
遗传学
表观遗传学
RNA序列
基因
单核苷酸多态性
转录组
人类基因组
外显子组测序
突变
基因表达
基因型
人口学
社会学
作者
Fan Dai,Jiedan Chen,Ziqian Zhang,Fengjun Liu,Jun Li,Ting Zhao,Yan Hu,Tianzhen Zhang,Lei Fang
出处
期刊:Database
[Oxford University Press]
日期:2022-09-12
卷期号:2022
被引量:2
标识
DOI:10.1093/database/baac080
摘要
The rapid advancement of sequencing technology, including next-generation sequencing (NGS), has greatly improved sequencing efficiency and decreased cost. Consequently, huge amounts of genomic, transcriptomic and epigenetic data concerning cotton species have been generated and released. These large-scale data provide immense opportunities for the study of cotton genomic structure and evolution, population genetic diversity and genome-wide mining of excellent genes for important traits. However, the complexity of NGS data also causes distress, as it cannot be utilized easily. Here, we presented the cotton omics data platform COTTONOMICS (http://cotton.zju.edu.cn/), an easily accessible web database that integrates 32.5 TB of omics data including seven assembled genomes, resequencing data from 1180 allotetraploid cotton accessions and RNA-sequencing (RNA-seq), small RNA-sequencing (smRNA-seq), Chromatin Immunoprecipitation sequencing (ChIP-seq), DNase hypersensitive sites sequencing (DNase-seq) and Bisulfite sequencing (BS-seq). COTTONOMICS allows users to employ various search scenarios and retrieve information concerning the cotton genomes, genomic variation (Single nucleotide polymorphisms (SNPs) and Insertion and Deletion (InDels)), gene expression, smRNA expression, epigenetic regulation and quantitative trait locus (QTLs). The user-friendly web interface offers a variety of modules for storing, retrieving, analyzing and visualizing cotton multi-omics data to diverse ends, thereby enabling users to decipher cotton population genetics and identify potential novel genes that influence agronomically beneficial traits. Database URL: http://cotton.zju.edu.cn.
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