The aim of RNA Informatics Team is to build a data analysis infrastructure for transcriptome and epigenome.
Modern bio-industry has long been seeing the age of mass data analysis. Thusly, we have to meet the requirement of the industry to develop data analysis infrastructure for efficient knowledge discovery from the mass data. Such the infrastructure includes a sequence mapping tool, a RNA secondary structure prediction tool, a database that integrates raw data and their derived results, a genome browser and a bioinformatics workbench that help searching, browsing, and reusing data from a database. In order to realize the aim, we are currently committing the following research themes: Development of RNA data analysis tools[1, 2, 3], Development of fast sequence data analysis tools, Development of the Functional RNA database , and Development of an epigenome database.
database, microarray, noncoding, microRNA, giga sequencer
Sequence alignment, Molecular evolution, Molecular phylogenetic analysis
sequence analysis, algorithm, giga-sequencer, protein intrinsic disorder
Epigenetics, Functional RNA, Noncoding RNA, Sequence analysis, Kernel methods