System Information Sciences
Information Biology B07
KeywordsMarine biology, Evolutionary ecology, Functional genomics, Bioinformatics, Database development, Gene coexpression network, Transcriptome analysis, Brain, Hormone, Sex difference
Bioinformatics for Earth
Today's vigorous human activities threaten the sustainability of the natural world, and there is an urgent need to accurately understand the current situation and implement appropriate measures. Meanwhile, thanks to vast amounts of data, we can "see" the world more accurately than ever before.
Our laboratory extracts knowledge from vast data in the life sciences, using a multi-level approach from the gene to the population level to elucidate living systems as individuals and populations. We also focus on the appropriate management and utilization of biological resources.
To analyze environmental adaptation across a wide range of time scales, evolutionary analyses through comparative genomics, epigenomics, and transcriptomics are highly effective. We have developed gene network databases using a vast amount of sequence data stored in public repositories. Additionally, by combining this with long-read sequencing performed in our lab, we aim to establish a comprehensive analytical platform for non-model organisms that make up our environment.
Particularly, through our collaboration with the WPI-AIMEC (Advanced Institute for Marine Ecosystem Change) and the Onagawa Field Center, we analyze the dynamics and environmental response mechanisms of plankton in coastal marine systems. Our research extends beyond the Sanriku coast, contributing to the prediction and conservation of marine environments worldwide.
Our laboratory extracts knowledge from vast data in the life sciences, using a multi-level approach from the gene to the population level to elucidate living systems as individuals and populations. We also focus on the appropriate management and utilization of biological resources.
To analyze environmental adaptation across a wide range of time scales, evolutionary analyses through comparative genomics, epigenomics, and transcriptomics are highly effective. We have developed gene network databases using a vast amount of sequence data stored in public repositories. Additionally, by combining this with long-read sequencing performed in our lab, we aim to establish a comprehensive analytical platform for non-model organisms that make up our environment.
Particularly, through our collaboration with the WPI-AIMEC (Advanced Institute for Marine Ecosystem Change) and the Onagawa Field Center, we analyze the dynamics and environmental response mechanisms of plankton in coastal marine systems. Our research extends beyond the Sanriku coast, contributing to the prediction and conservation of marine environments worldwide.
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Application of gene network technologies in breeding, ecology, and anthropology
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Gene coexpression databases; COXPRESdb, ATTED-II, ALCOdb