Transcriptomics

Dataset Information

0

Transcriptome of rice seedling and callus based on RNA-seq method


ABSTRACT: To support our research of epigenomics in rice genome, we conducted massively parallel pyrosequencing of mRNAs (RNA-seq) using rice seedling and callus tissues. We obtained a total of 40.1 M reads from seedling and 29.6 M reads from callus.The RNA-seq data derived from the replicates showed high correlations (Spearman’s rank correlation coefficient, SC, 0.96 for seedling, 0.88 for callus). Our RNAseq data derived from the seedling also showed a high correlation with the recently published rice RNA-seq data that was also from two-week old seeding tissue (Lu et al., 2010, PMID: 20627892) (SC=0.87).

ORGANISM(S): Oryza sativa

PROVIDER: GSE33265 | GEO | 2011/11/09

SECONDARY ACCESSION(S): PRJNA149055

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2011-11-09 | E-GEOD-33265 | biostudies-arrayexpress
2011-11-09 | E-GEOD-26733 | biostudies-arrayexpress
2011-11-09 | E-GEOD-26610 | biostudies-arrayexpress
2011-11-09 | GSE26733 | GEO
2011-11-09 | GSE26610 | GEO
2011-05-18 | GSE21631 | GEO
2011-05-17 | E-GEOD-21631 | biostudies-arrayexpress
2011-03-24 | GSE28124 | GEO
2011-03-24 | E-GEOD-28124 | biostudies-arrayexpress
2022-04-01 | GSE166667 | GEO