| Accession | CRX120338 |
| Organism | Oryza sativa Indica Group |
| Title | RNA-Seq of booting leaves at Jinghong |
| BioProject | PRJCA002833 |
| BioSample | SAMC194238 |
| Platform | Illumina HiSeq 2500 |
| Library |
| Library name |
Construction protocol |
Strategy |
Source |
Selection |
Layout |
|
Tiller buds, tiller roots, young panicles, booting panicles, booting leaves, booting roots and flag leaves of the rice variety 9311 from Taoyuan and Jinghong were collected. Then, we systematically collected the transcriptome data for seven key tissues of different developmental stages to identify the top 24 candidate high-yield genes with their network modules using a new computational systems biology method, i.e., Dynamic Cross-Tissue (DCT) network analysis. |
RNA-Seq |
TRANSCRIPTOMIC |
RANDOM PCR |
PAIRED
|
|
| Processing |
Planned read length (bp) for mate 1: 150
Planned read length (bp) for mate 2: 150
|
| Release date | 2020-06-17 |
|---|
| Run |
| Run accession |
Run data file information |
| File name | File size (MB) |
|---|
| CRR146431 |
CRR146431_f1.fastq.gz
CRR146431_r2.fastq.gz
|
1,149.36
1,145.02
|
|
| Submitter | Jihong Hu (hujh2010@163.com) |
|---|
| Organization | Wuhan University |
|---|
| Date submitted | 2020-06-16 |
|---|
