Assessing Runs with MinKNOW

I am at ASMCUE 2023 this weekend. Students set up a sequencing run without me and it is running. Tonight I watched the Nanopore Learning video from the Human genome sequencing and analysis course “MinKNOW: Assessing your run.” Marta Verdugo from the Technical Services Team with ONT described the flow cell health and percentage of pores sequencing. The run statistics page includes the parameters of the experiment and read count. Additional images and graphs can be added to the options displayed. The Channel State Panel provides the real-time state of pores. The Duty Time plot includes the percentage of pores and their state. Verdugo mentioned that the library was “good” because at least 50% of pores were actively sequencing. Translocation speed and Q scores are plotted over time. The cumulative plot indicates the number of passed and failed reads depending on the parameters used to filter the data. Bias voltage can be modified for flow cells that have been washed. Read counts for barcodes are displayed with the option of indicating failed and unclassified reads. The plots are useful to learn about the status of a sequencing run and troubleshoot potential issues. We have been seeing a decrease in translocation speed for some 16S barcoding kit runs. I have to read more about what this could indicate and how to avoid translocation speed issues.

monitor with data
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