Human_Read_Removal_Investigation___Viral_Read_Sets
Teams within the Wellcome Sanger Institute have been collaborating to investigate the performance of multiple Human Read Removal (HRR) methods. To this end, a synthetic titration dataset was produced, comprising read sets derived from viral reads arising from a bait capture experiment artificially mixed with equal proportions of 27 human read sets derived from samples in the 30X Illumina Coverage study under the 1000 Genomes Project (PRJEB31736). Viral and human reads were mixed in varying proportions ranging from 1:9 to 9:1 human:viral, with 3 iterations of each viral read set + human reads at each titre for representative sampling. This study contains viral reads derived from a bait capture protocol on saliva samples, which were then run through a bioinformatics procedure which resulted in reads being retained only if they aligned to references for Influenza A, SARS-CoV-2 or Respiratory Syncytial Virus (RSV). These read sets were subsequently used to create the synthetic titration dataset employed for a read-fate analysis after processing with various human read removal methods.