Abstract
Summary SPLiT-seq is a cost-effective single-cell RNA-sequencing method, easy to implement in most laboratories. However, the data preprocessing is not straightforward, and no solution currently exists to perform a basic quality control of the data. Here, we present BarQC, a quality control tool, which identifies and corrects barcodes in SPLiT-seq data and provides a report on the distribution of each barcode and UMI as well as an estimation of the number of cells present in the data. Additionally, BarQC can be incorporated in the preprocessing pipeline by constructing a sorted BAM file tagged with each barcode sequence.
Availability of Implementation BarQC was implemented in Python3, and its source code is freely available on GitHub at https://github.com/mayflylab/barQC/ under the MIT Licence. BarQC has been tested on a Linux server.
Competing Interest Statement
The authors have declared no competing interest.
