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Sequence Data Information Processing Lab
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The lab researches algorithms for solving problems in biology, medicine, and chemistry with computers.
AboutAbout the lab
Solving the problems of life with computers
The Sequence Data Information Processing Lab researches algorithms for solving problems in biology, medicine, and chemistry with computers.
In addition to designing and analyzing algorithms, the lab builds an integrated database of chemical reaction systems of biomolecules.
Beyond big data analysis, the lab studies computational algorithms from both theoretical and practical perspectives.
From both the application of bioinformatics and the foundations of information science, the lab aims to bring new approaches to this field.
Key terms
- Sequence data
- Data obtained by reading the order of bases (the sequence) in DNA or RNA in large quantities with a sequencing instrument
- Algorithm
- A set of steps and computational rules used to have a computer solve a problem
- Bioinformatics
- The field of analyzing biological data using methods from information science
ResearchResearch themes
The lab researches algorithms for solving problems in biology, medicine, and chemistry with computers, including problems involving sequence data. It approaches these problems from both the application of bioinformatics and the foundations of information science.
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MembersFaculty
- ProfessorSeiya ImotoPublications ↗
- Associate ProfessorKotoe Katayama
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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: “Multiple sequence alignment 2” Larse801 / CC BY-SA 4.0 (cropped)
- Algorithms and Databases for the Life Sciences: “E coli metabolic network” Genome Management Information System, Oak Ridge National Laboratory / Public domain (cropped)
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