We try to discover novel biological functions or principles of life systems applying large-scale data analysis technologies with mathematical analysis.
Energy landscape analysis using biological big data
We developed new mathematical analysis method termed as “Energy landscape analysis” to visualize energy states or stabilities using omics data of microflora or transcriptome of environments or organisms. This methodology is expected to be useful for controlling biological states of soil, intestine and cell differentiation which is composed of multiple factors with intricate interactions. We work on to develop expansion and application of this methodology.
Energy landscape analysis elucidates the multistability of ecological communities
https://web.brc.riken.jp/en/archives/news/20210518_01
https://esajournals.onlinelibrary.wiley.com/doi/abs/10.1002/ecm.1469
https://www.biorxiv.org/content/10.1101/709956v1
Tutorial (Mathematica)
https://community.wolfram.com/groups/-/m/t/2358581
GitHub
https://github.com/kecosz/ela
Participation in Internationa Mouse Phenotyping Consortium
We participate in the Internationa Mouse Phenotyping Consortium (IMPC) with cooperation to Experimental Animal Division and Technology and Development Team for Mouse Phenotype Analysis (Japan Mouse Clinic).
