Developing end-to-end bioinformatics workflows is challenging, demanding deep expertise in both genomics and computational techniques. While large language models (LLMs) provide some assistance, they ...

Massive data brings convenience and comes with great challenges at the same time. In light of this, how to use and store huge amounts of data wisely has become a difficult problem for data scientists.

Billions of dollars are flowing into computational biology. From working to find improved outcomes for health issues to better policy planning, it’s possible to find enormous value inside bio-data.