This is the initial code for the article: "Application of long-read sequencing to establish a cost-efficient high-throughput automated pipeline for generation of organism specific protein-expression data"
The Lead_script.py runs the Merger_blast.py, Double_barcode_Demultiplexer_vectorized.py and Demultiplexed_To_Stuctured_With_Lum_data.py in order to transform Nanopore FastQ files and Excel-sheets from out Hamilton robot into structured data and plots.
Fw/rev primers are the primers containing barcodes and the independent scripts Hamilton_Data_Extractor(Individual).py and Clustered_luminescence.py visualizes the data from the Hamilton alone and from the output of the Lead_script.py.
The scripts can still be improved but they work consistently with 16 mtplates at a time. They will be improved later.