Biological Data Science Ueda Laboratory
Biological Data Science
With the development of sequencing technology, electronic data yields in biology have been steadily increasing, and it is already a challenging task to process large volumes of data with conventional methods. In addition, in order to extract knowledge from multi modal big data, (ex. Multi-omics data) it is necessary to incorporate the latest Data Science technology, such as cloud computing and machine learning. We are developing cloud based NGS analysis pipeline using Hadoop / Spark, popular cloud computing framework, and deep learning library.
Our research include following:
(1) Cancer genomics
(2) Proteomics and post translational modification
(3) epitranscriptome (RNA modifications) analysis
Specialized field：Computational Biology, Cancer Genomics, Machine Learning