Pluto Bioinformatics

GSE149087: Benchmarking dataset for measurement and removal of index hopping artifacts in multiplexed droplet-based single-cell RNA-seq data

Bulk RNA sequencing

Sample index hopping refers to the incorrect sample assignment of a demultiplexed sequencing read in a library pool. To enable benchmarking of methods for measurement of index hopping rate and removal of its artifacts in single-cell RNA-seq data, we developed a validation dataset consisting of a multiplexed library of two samples, in which the true sample of origin of most reads are known. The reads with known sample of origin provide the ground truth for measuring the performance of index hopping correcting methods. SOURCE: Hamed,S,NajafabadiComputational and Statistical Genomics Lab McGill University