The Limits of Virus Discovery and How to Overcome Them - Primer on Sequence Bioinformatics

Explore the frontiers of virus discovery and bioinformatics in this comprehensive lecture and primer from the Broad Institute's Models, Inference and Algorithms series. Delve into Artem Babaian's groundbreaking work on the Serratus project, which processed 5.7 million sequencing datasets to uncover over 130,000 novel RNA viruses. Learn about the challenges and limitations of current virus discovery methods, and gain insights into promising new algorithms for accelerated and deeper homology searches. Rayan Chikhi's primer provides a high-level overview of sequence bioinformatics, covering sequence alignment, genome assembly, and large-scale sequence search. Understand the strengths and weaknesses of current algorithms and their scalability to petabyte-level data. Gain valuable knowledge about the future of virus discovery and the potential to uncover 100 million RNA viruses by 2030. Discover additional resources and information about the upcoming "RdRp Summit" for RNA virus classification standards.