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Bioinformatics Analysis Lab
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A lab that develops methods and software for analyzing data on gene activity.
AboutAbout the lab
Building tools to decode the data of life
The Bioinformatics Analysis Lab conducts research centered on developing methods for bioinformatics, especially transcriptome analysis.
Its work ranges from developing algorithms and software to writing practical guides for data analysis, with diverse themes matched to each student's interests and skills.
The faculty members' main duties include lecturing for the Agricultural Bioinformatics Education and Research Unit, so the situation differs greatly from that of a typical lab.
Communication is mainly through Slack, and the lab has no core hours.
Key terms
- Transcriptome
- The complete set of gene information (RNA) that is active in a cell at a given point in time
- Differential expression analysis
- An analysis that compares samples under different conditions to identify genes whose activity levels have changed
- R package
- A collection of programs bundled to perform a specific analysis in R, a programming language widely used for statistical analysis
NewsLab news
Held an entrance exam information session for the Integrated Analytics and Informatics Course, Graduate School of Interdisciplinary Information Studies
Published an article on points to note when drawing Sankey diagrams in the NGS series of the Journal of the Japan Society for Lactic Acid Bacteria
Published a paper on MBCdeg4, a new method for differential expression analysis
ResearchResearch themes
The lab covers bioinformatics research broadly, centered on developing methods for transcriptome analysis. While keeping an eye on new experimental technologies and advances in AI, it aims to develop software that is genuinely useful.
*Illustrative imageDeveloping methods for transcriptome analysis
This theme develops new methods such as differential expression analysis, which examines differences in gene activity levels between tissues or samples. It is an algorithm development theme suited to people who are strong in statistics and similar fields.
*Illustrative imageDeveloping analysis software
This theme develops R packages for omics analysis in general, as well as software with a graphical user interface (GUI). It suits students in informatics who want to build their IT skills.
*Illustrative imageWriting practical guides for data analysis
This theme creates guidelines for making the most of analysis tools in genome and transcriptome data analysis, such as comparing the performance of various R packages. It suits people somewhere between informatics and biology.
*Illustrative imageDeveloping teaching materials to strengthen research capability
This theme creates web-based materials compiling analysis examples, explanatory articles, and tutorial videos so that experimental researchers can use R packages effectively. It suits people with a background in biology.
MembersFaculty
The members of the Bioinformatics Analysis Lab consist of faculty members, project researchers, and master's students.As of 2026
- Associate ProfessorKoji KadotaPublications ↗
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Heatmap” Miguel Andrade at English Wikipedia / Public domain (cropped)
- Developing methods for transcriptome analysis: “Generic Data Volcano Plot Graph (NIH BioArt )” Courtesy of NIAID Austin J. Athman / Public domain (cropped)
- Developing analysis software: “Ggplot2 Sample” Janilin.bappi / CC BY-SA 4.0 (cropped)
- Writing practical guides for data analysis: “Example ROC curves” Gforman44 / CC BY-SA 3.0 (cropped)
- Developing teaching materials to strengthen research capability: “Writing notes while using a laptop at a desk” Shixart1985 / CC BY 2.0 (cropped)
- Related lab (Biological Information Engineering Lab): “Dynamic simulation screenshot” Jih24 / CC BY-SA 4.0 (cropped)
- Related lab (Nutritional Chemistry Lab): “Cultured Rat Hippocampal Neuron ( )” ZEISS Microscopy from Germany / CC BY 2.0 (cropped)
- Related lab (Microbial Ecotechnology Social Cooperation Lab): “Разнообразие почвенной микрофлоры в чашке Петри” Oksana Lastochkina / CC BY-SA 4.0 (cropped)
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