Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Rice whole transcriptome surveyed by RNA-Seq and Paired-end technology


ABSTRACT: Transcriptome analysis is an important approach to associate genotype with phenotype. The content and dynamics of eukaryotic transcriptome are far more complex than previously anticipated. Here we integrated high-throughput RNA-seq and paired-end method to conduct an unprecedentedly deep survey of transcription profile for cultivated rice, one of the oldest domesticated crops species and has since spread worldwide to become one of the major staple foods. Analysis of reads mapping revealed 4,244 previously uncharacterized transcripts, including a mass of protein-coding genes and putative functional non-coding RNA genes. Alignment of junction reads indicated over 42% of rice multiple-exon genes produce two or more distinct splicing isoforms. It’s intriguing that we identified 1,356 putative

ORGANISM(S): Oryza sativa Indica Group

SUBMITTER: Guangwu Guo 

PROVIDER: E-GEOD-16631 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress