What's New - RiceVarMap
2020-05-10
We have developed a non-coding variation impact prediction tool in the "Regulatory Variant Prioritization" page. Users can use the variation IDs or upload a VCF file to query the predicted variation impacts in our database.
2019-05-15
Chromatin Accessibility Map and Non-coding Varation Scores Map can be seached in "Search for Variation by Gene" page.
2019-04-28
we comprehensively integrated non-coding variant prediction scores into RiceVarMap based on chromatin accessibility (CA) data and deep convolutional neural networks (CNNs).
We generated high-quality CA data from six representative rice tissues and used these data to train CNNs (AUROC: 0.93-0.95) to predict the impacts of variants on CA in non-coding regions.
2019-01-20
We improved the speed of "Search for Genotype With Variation ID"and "Search for Cultivar Information" page.
2018-06-20
We defined a 'Chromatin Accessibility Score' for each variation to evaluate the impact of variations (especially for non-coding variations) based on chromatin accessibility data. This information can be found at 'Search for Variation by Gene' page and 'Search for Variation information by Variation ID' page.
2018-05-02
Gene expression atlas added into RiceVarMap, gene expression across the tissues and stages can be queried at "Search for Variation by Gene" page.
2018-04-20
We added callus, root, young leaf, flag leaf, and spikelet's chromatin accessibility data to RiceVarMap, which can be searched in "Search for Variation by Gene" page.
2017-10-08
Gene symbol and gene name like 'hwh1' can be searched in 'Search for Variation by Gene' page.
2017-09-05
RiceVarMap v2.0 has been released!
new genomic variations and GWAS results, improved annotations of missense variations, integrated chromatin accessibility data for non-coding variations.