项目编号 PRJCA007105
项目标题 Training an authentic neural network model using Nanopore sequencing data of Arabidopsis transcripts for detection and quantification of N6-methyladenosine on RNA
涉及领域 Model organism
数据类型 Epigenomics
Transcriptome or Gene expression
Raw sequence reads
Nanopore direct RNA sequencing
物种名称 Arabidopsis thaliana
描述信息 Nanopore direct RNA-seq for wild-type (Col-0) and two m6A-deficient A.thaliana mutants, fip37-4 SALK_018636 allele and ABI3prom:MTB complemented mtb WiscDsLox336H07 allele, using SQK-RNA001Kit and R9.4 flowcells on GridION platform
样品范围 Monoisolate
发布日期 2021-12-09
出版信息
PubMed ID 文章标题 杂志名称 Doi 发表年份
35039061 DENA: training an authentic neural network model using Nanopore sequencing data of Arabidopsis transcripts for detection and quantification of N6-methyladenosine on RNA Genome Biology 10.1186/s13059-021-02598-3 2022
项目资金来源
机构 项目类型 授权项目ID 授权项目名称
National Key Research and Development Program of China 2018YFA0900700
National Key Research and Development Program of China 2019YFA0904601
Strategic Priority Research Program of Chinese Academy of Sciences XDA24010400
National Natural Science Foundation of China 31771412
National Natural Science Foundation of China 31972881
提交者 xuan li (lixuan@cemps.ac.cn)
提交单位 CAS Center for Excellence in Molecular Plant Sciences / Institute of Plant Physiology and Ecology
提交日期 2021-11-05

项目包含数据信息

资源名称 描述
BioSample (9)  show -
GSA (1) -
CRA005317 DENA: training an authentic neural network model using Nanopore sequencing data of Arabidopsis transcripts for detection and quantification of N6-methyladenosine on RNA