IC4R017-RNA-Seq-2014-24518221
Contents
Project Title
- Time-series RNA-seq analysis package (TRAP) and its application to the analysis of rice, Oryza sativa L. ssp. Japonica, upon drought stress
The Background of This Project
- The high throughput RNA sequencing(RNA-seq) technique has advantages over microarray technique such as the decreased noise level and more replicable results ,compared to microarrays. For this reason, the number of time-series RNA-seq data sets in the public domain has increased dramatically over the past few years.
- The researchers developed a comprehensive package, Time-series RNA-seq Analysis Package (TRAP), for analyzing time series transcriptome data. There have been many packages developed for analyzing time-series gene expression data. The most widely used technique is to identify DEGs. Packages for finding DEGs from time-series data include SAM , LIMMA ,EDGE , maSigPro and BETR .
Plant Culture & Treatment
Research Findings
Labs working on this Project
- Department of Computer Science and Engineering, Seoul National University, Seoul, Republic of Korea
- Bioinformatics Institute, Seoul National University, Seoul, Republic of Korea
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
- Department of Biomedical Sciences, Sunmoon University, Asan 336-708, Republic of Korea
Corresponding Author
- Sun Kim:sunkim.bioinfo@snu.ac.kr
