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 reads from the synthetic titration dataset which were retained after being processed through various human read removal methods. The dataset consists of the 351 read sets processed through 9 different human read removal methods, to a total of 3,159 read sets.