This project demonstrates the genome-wide identification and high-throughput validation of cis-regulatory elements (CREs) in maize. By employing sequence-to-expression deep learning models, we predict

NIAID Data Ecosystem60

Molecular network modulated by maize dlf1

玉米基因调控

分子网络分析

Combining ChIP-seq and RNA-seq, we studied on the molecular network modulated by maize dlf1.

NIAID Data Ecosystem50

Zea mays sRNA datasets from rpd1-1 and rmr1-1 mutant or heterozygous 4cm immature cobs

RNA测序

玉米基因调控

Examination of small RNAs using Illumina's sequencing-by-synthesis (SBS) platform to deep sequence small RNA libraries made from the 4-cm cobs of rpd1-1 and rmr1-1 mutant and non-mutant siblings.

NIAID Data Ecosystem80

Zea mays isolate:Immature ear and Shoot | cultivar:B73 Raw sequence reads. Zea mays isolate:Immature ear and Shoot | cultivar:B73

玉米基因调控

表观遗传学

Chip-seq for immature ear and shoot of Zea mays B73

NIAID Data Ecosystem50