Multiple Sequence Alignment Optimization with Graph Neural Networks

Bioinformatics › Machine Learning Sequence Alignment Research

Multiple Sequence Alignment Optimization with Graph Neural Networks

Interns will explore graph neural network architectures to model relationships between multiple sequences and improve alignment quality for large sequence families. They will focus on reducing computational complexity while maintaining alignment accuracy for evolutionary and functional annotation studies.

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