Expression data of Saccharomyces cerevisiae CEN.PK.113-7D grew in Batch and Chemostat condition using for comparison of RNA-seq and Microarray data

ABSTRACT: High throughput sequencing is a powerful tool to investigate complex cellular phenotypes in functional genomics studies. Sequencing of transcriptional molecules, RNA-seq, has recently become an attractive method of choice in the studies of transcriptomes, promising several advantages compared to traditional expression analysis based on microarrays. In this study, we sought to assess the contribution of the different analytical steps involved in analysis of RNA-seq data and to cross-compare the results with those obtained through a microarray platform. We used the well-characterized Saccharomyces cervevisiae strain CEN.PK 113-7D grown under two different physiological conditions (batch and chemostat) as a case study. In our work, we addressed the influence of genetic variability on the esti

ORGANISM(S): Saccharomyces cerevisiae CEN.PK113-7D

SUBMITTER: Intawat Nookaew 

PROVIDER: E-GEOD-37599 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress