Repository of analysis and computer control code for various experiments. Analysis module is designed to help the researcher wrangle large amounts of meta data
It is important not to split images of the same patient between the test and train sets to avoid overfitting. This repository splits a sample Covid/Normal classification dataset into test and train sets in a patient aware and stratified manner.
Prepares a SARS-CoV-2 submission for GISAID, NCBI or ENA. Can read GISAID or NCBI files, or plain fasta+tsv/csv/xls. Finds files in input directory and merges everything into a single output directory. Auto-detects input file formats. Can submit the results to multiple repositories from the command line.
