Binning and Classification of Assembled Contigs Using Machine Learning

Metagenomics › Machine Learning Metagenome Assembly Research

Binning and Classification of Assembled Contigs Using Machine Learning

Interns will develop machine learning pipelines to classify metagenomic contigs into taxonomic bins and identify novel organisms using features like tetranucleotide frequency, coverage depth, and marker genes. They will compare supervised and unsupervised approaches on benchmark datasets and real environmental samples.

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