This session introduces genome reconstruction from metagenomes. It’s also a hike through machine learning applications. It includes:

• what’s the aim of genome reconstruction, why is it necessary, and what is the challenge?

• features that can be used for binning

• algorithms / approaches

• quality control, benchmarking, and reporting