Accession | PRJCA007105 | ||||||||||||||||||||||||
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Title | Training an authentic neural network model using Nanopore sequencing data of Arabidopsis transcripts for detection and quantification of N6-methyladenosine on RNA | ||||||||||||||||||||||||
Relevance | Model organism | ||||||||||||||||||||||||
Data types |
Epigenomics
Transcriptome or Gene expression Raw sequence reads Nanopore direct RNA sequencing |
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Organisms | Arabidopsis thaliana | ||||||||||||||||||||||||
Description | 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 | ||||||||||||||||||||||||
Sample scope | Monoisolate | ||||||||||||||||||||||||
Release date | 2021-12-09 | ||||||||||||||||||||||||
Publication |
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Grants |
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Submitter | xuan li (lixuan@cemps.ac.cn) | ||||||||||||||||||||||||
Organization | CAS Center for Excellence in Molecular Plant Sciences / Institute of Plant Physiology and Ecology | ||||||||||||||||||||||||
Submission date | 2021-11-05 |