1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama 230-0045 JAPAN
The Genome Information Analysis team is primarily composed of bioinformatic analysts. We focus mainly on analysis of large transcriptome datasets to identify key factors, novel RNAs and predict transcriptional regulatory networks (TRN). We see that the way to go forward with mammalian TRNs is to first to focus on the set of TFs that are relevant for a given cell type and then examine high throughput datasets to map the network topology. The methods will need to improve over the coming years, and we will invest in developing large scale integrated databases that allow queries across multiple in house and public datasets. We work closely with wet bench scientists focusing on specific cell models and also have a wet bench component within the team. We are also actively working in the areas of non-coding RNAs, cellular identity, mammalian cell communication and cancer biomarkers.
- FANTOM5 releases first integrated atlas of microRNA expression in human primary cells
- Improved gene expression atlas shows that many human long non-coding RNAs may actually be functional
- A treasure trove of new cancer biomarkers
- A dictionary of the language of cells
- Degradation is key to the activity of the miR-21 oncomiR
- A new bioinformatics tool to visualize transcriptomes
Main Publications List
- Carnici Division Director elected to the associate member of EMBO
- Piero Carninci received Shimadzu Prize
- Piero Carninci chosen as “MICE ambassador”
- Jordan Ramilowski, Bogumil Kaczkowski and Hazuki Takahashi received the awards at IMGC 2015.