Background

The expression level in DAP15 kernel of the 368 association panel was quantified based on RNA-seq. Read counts for each gene were calculated and scaled according to RPKM. After RPKM normalization, all genes with a median expression level larger than zero for each sample were included, and the overall distribution among 368 lines of expression levels for each gene is normalized using a normal quantile transformation.

Datasets

Expression_finalNormalized_28850.tar.gz: QQ-normed of RPKM expression for GWAS.

Genes_reads_rpkmNormalized.tar.gz: RPKM based on genes.

Transcripts_reads_rpkmNormalized.tar.gz: RPKM based on transcripts.

Related papers:

Fu et al. RNA sequencing reveals the complex regulatory network in the maize kernel. Nat Commun. 2013; 4:2832. doi: 10.1038/ncomms3832.

Liu et al. Distant eQTLs and non-coding sequences play critical roles in regulating gene expression and quantitative trait variation in maize. Mol Plant. 2017; 10(3):414-426. doi: 10.1016/j.molp.2016.06.016.

Liu et al. MODEM: multi-omics data envelopment and mining in maize. Database (Oxford). 2016; 2016:baw117. doi: 10.1093/database/baw117.