Platform for Advanced Genome Science
Outline
Principle Investigator |
Ken Kurokawa
Professor at Genome Evolution Laboratory, National Institute of Genetics Keyword for Support Function |
Keyword for Support Function |
Advanced Genome Analysis |
Grant period |
FY 2022 - 2027 |
URL |
https://www.genome-sci.jp/ |
Platform for Advanced Genome Science
Support Categories
Support network activity for the large-scale genome sequencing analysis
Support for novel genome sequencing |
We determine the genomes of plant, vertebrate (except humans), invertebrate, algae, protozoans, bacteria, etc. We provide high-quality genome sequencing by combining long-read and short-read sequencing. |
Support for mutation analysis |
We conduct somatic mutation analysis, Haplotype analysis, and analysis on SNP (Single Nucleotide Polymorphism) and CNV (Copy Number Variation) on the organisms having their genome sequencing completed with the cutting-edge system and technology. |
Support for Modification and Epigenome Analysis |
We support analysis on the modifications of epigenome, RNA, chromosome structure, and binding protein, etc. We also conduct analysis on DNA modification and RNA modification using a technique to measure single molecule. |
Support for RNA analysis |
We use the organisms having their genome sequencing completed to analyze the number of copied RNA species, stability, GuideRNAs, splicing, and IncRNA and others. |
Support for metagenome, environmental genome, and hologenome analysis |
We support single cell genome analysis, metagenome analysis, and hologenome analysis, and comparative metagenomic analysis on the various samples. This analysis includes DNA, RNA, and single cell analysis in symbiosis and mutual interaction on from the biological samples to the environmental samples. We also support MAG construction in metagenomic analysis. |
Support for High Sensitivity Genomic DNA Analysis |
With the advanced genome sequencing system which enables us to sequence a single molecule or a single cell, we support to sequence ultra-low volume samples. We also support spatial multiomics analysis. Time-series analysis is also available. In addition, we organize the training course for technical supporters. |
Support network activity for the advanced informatics analysis
Support for developing a high-throughput fundamental analysis pipeline |
We develop analysis pipelines using big data analysis technologies in the genomics field. Using these pipelines, we support to analyze omics data. |
Support for developing a comprehensive genome annotation |
We develop technologies to obtain high-quality genome annotation or metagenomic annotation. |
Support for developing the advanced information analysis on multiple integrated genome information |
We develop technologies to conduct integrative analysis on a large amount of multi-omics data obtained by genome analysis and RNA analysis. |
Support for developing advanced informatics technologies |
We develop advanced informatics technologies to support scientific proposals that require very high level analysis technology in the field of genome science. We also utilize these technologies to support other scientific proposals. |