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Quality control and host decontamination

Varsha Kale, a bioinformatician in the Microbiome Informatics team, explains the concepts of quality control (QC) for microbiome sequencing data.

This talk explores the reasons for carrying out QC on sequence data before downstream analysis, and some potential sources of contamination that are useful to consider in designing a study. The following broad aspects of QC are covered:

  • General statistics
  • Read trimming
  • Removal of sequence artifacts
  • Host decontamination

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Practical

You can practice the process for QC filtering, the different steps applied when filtering sequencing data prior to analysis, and understand the QC display by following this practical tutorial. It includes exercises with which you can explore and apply the MGnify QC filtering steps on an example dataset.

All the necessary information you need for this practical can be found below: