BnVIR Brassica napus variation information resource
eg: AT5G10140
 or FLC
————Bridging the genotype–phenotype gap to accelerate mining candidate variation of traits in Brassica napus
News and Events
// How to cite us

BnIR: Zhiquan Yang, Shengbo Wang, Lulu Wei, Yiming Huang, Dongxu Liu, Yupeng Jia, Chengfang Luo, Yuchen Lin, Congyuan Liang, Yue Hu, Cheng Dai, Liang Guo, Yongming Zhou, Qing-Yong Yang. (2023) BnIR: a multi-omics database with various tools for Brassica napus research and breeding, Molecular Plant 16(4):775-789. https://doi.org/10.1016/j.molp.2023.03.007.

BnVIR: Zhiquan Yang, Congyuan Liang, LuLu Wei, Shengbo Wang, Feifan Yin, Dongxu Liu, Liang Guo, Yongming Zhou, Qing-Yong Yang. (2022) BnVIR: bridging the genotype-phenotype gap to accelerate mining of candidate variations for traits in Brassica napus, Molecular Plant 15:779-782. https://doi.org/10.1016/j.molp.2022.02.002.


// Introduction

BnVIR (Brassica napus variation information resource) is a comprehensive Brassica napus (B. napus) variation database. It contains 10,090,561 genetic variations from 2,311 B. napus accessions, including SNPs, InDels and SVs. Integrating genetic variations with phenotype and transcription data of the B. napus population, the database provides quick mining of candidate variations and genes for various traits in B. napus.

Quick mining of candidate variations and genes associated with traits in B. napus


BnVIR

// Schematic representation
Accessions

(Ecotype: 3; Countries: 40; Sequencing depth >6x)


Variations

SNPs

InDeLs

SVs


Evolution

FST records

π records

Ka/Ks records


Transcriptome

Accessions (20 and 40 DAF seed)

Tissues/stages


Phenome

Accessions

Planting Places

Traits


// Quick entry of function modules

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