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Metagenomic Data Analysis Resource Gap

There is a need for comprehensive resources and workflows to process and analyze large metagenomic datasets. The poster is seeking recommendations for raw read quality control, preprocessing, assembly, and downstream analysis. Existing resources are insufficient or not well-organized, causing difficulty in finding reliable methods and tools.

Computing & Technology, Computer Science, Data Structures & Algorithms