Machine learning-based sequence similarity network analysis for chromatin remodeling in apple bud dormancy (IMAGE)

Chiba University

Machine learning-based sequence similarity network analysis for chromatin remodeling in apple bud dormancy

Caption

 Scientists in Japan investigate how apple axillary buds sense environmental conditions and enhance survival under harsh circumstances. Their study analyzes changes in chromatin structures and transcription to unravel the mechanisms behind seasonal adaptation in plants.

Credit

Takanori Saito from Chiba University

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