日時
2021年2月12日10:00 - 11:00
講演者
久米 慶太郎 (筑波大学 医学医療系 助教)
会場
via Zoom
言語
英語

The evolution of the repertoire of proteins localized to organelles is important for understanding the evolutionary process of organelles. However, experimental methods for identifying organelle-localized proteins have been established only for model organisms and some organisms. Therefore, prediction methods using sequence data obtained from genome and transcriptome analyses, which are relatively easy to obtain, are useful. However, such prediction methods had also been established only for model organisms. In this talk, I will introduce our study in which a machine learning method was used to obtain protein candidates localized to mitochondrion-related organelles in non-model organisms.

Reference

  1. K. Kume et al., Evol. Bioinform. 14:1176934318819835. (2018)

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