Murmur2Vec: Hashing for Rapid Embedding of COVID-19 Spike Sequences
Analysis
This research explores a hashing-based method (Murmur2Vec) for generating embeddings of COVID-19 spike protein sequences. The use of hashing could offer significant computational advantages for tasks like sequence similarity analysis and variant identification.
Key Takeaways
- •Murmur2Vec leverages hashing to create embeddings, potentially improving efficiency.
- •The focus is on applying this technique to COVID-19 spike protein sequences.
- •This could aid in faster analysis and identification of virus variants.
Reference
“The article is sourced from ArXiv.”