CannSeek?是的,我们可以!针对大麻的开源单核苷酸多态性数据库和分析门户网站。

GigaByte (Hong Kong, China) Pub Date : 2024-10-08 eCollection Date: 2024-01-01 DOI:10.46471/gigabyte.135
Locedie Mansueto, Kenneth L McNally, Tobias Kretzschmar, Ramil Mauleon
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引用次数: 0

摘要

人们对大麻用于食品、纤维和医药的兴趣日益浓厚,加上最近法规的变化,促使人们对这种曾经被禁止的植物进行了大量的基因组研究。大麻研究利用新一代测序技术进行基因组学和转录组学研究。其他作物的基因组门户网站可以访问和分析来自不同品种的大量基因分型数据,从而发现重要性状的等位基因,但大麻却没有这样的门户网站。CannSeek 门户网站旨在填补这一空白。单核苷酸多态性数据集是通过识别公共重测序数据和基因组组装中的基因组变异而生成的。结果和伴随的性状数据托管在 CannSeek 网络应用程序中,该程序使用水稻 SNP-Seek 基础设施构建,并进行了改进,允许使用多个参考基因组,并提供了网络服务应用编程接口。该门户网站内置的工具可利用公共测序数据对大麻品种进行系统发育分析、品种分组和鉴定,以及发现有利的单倍型:CannSeek 门户网站的网址是:https://icgrc.info/cannseek, https://icgrc.info/genotype_viewer。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CannSeek? Yes we Can! An open-source single nucleotide polymorphism database and analysis portal for Cannabis sativa.

A growing interest in Cannabis sativa uses for food, fiber, and medicine, and recent changes in regulations have spurred numerous genomic studies of this once-prohibited plant. Cannabis research uses Next Generation Sequencing technologies for genomics and transcriptomics. While other crops have genome portals enabling access and analysis of numerous genotyping data from diverse accessions, leading to the discovery of alleles for important traits, this is absent for cannabis. The CannSeek web portal aims to address this gap. Single nucleotide polymorphism datasets were generated by identifying genome variants from public resequencing data and genome assemblies. Results and accompanying trait data are hosted in the CannSeek web application, built using the Rice SNP-Seek infrastructure with improvements to allow multiple reference genomes and provide a web-service Application Programming Interface. The tools built into the portal allow phylogenetic analyses, varietal grouping and identifications, and favorable haplotype discovery for cannabis accessions using public sequencing data.

Availability and implementation: The CannSeek portal is available at https://icgrc.info/cannseek, https://icgrc.info/genotype_viewer.

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CiteScore
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