[New Workshop] demuxSNP package demo

[michaelplynch]

Please supply the following information:

Short title: Demultiplexing and demuxSNP in scRNASeq Workshop URL: https://github.com/michaelplynch/demultiplexing-bioc23 Workshop docker image: ghcr.io/michaelplynch/demultiplexing-bioc23 Workshop port: 8787 Workshop memory request: 8GB Workshop description: a paragraph or two describing the workshop Multiplexing in scRNAseq is a cost saving technique where cells from different biological samples are pooled then sequenced on the same lane. Cells must then be demultiplexed or assigned to their biological sample of origin for downstream data analysis. Two main strategies for demultiplexing include experimental tagging (hashing) and exploiting natural genetic variation (SNPs). Algorithm performance is dependent on data quality. In this workshop, we demonstrate different methods for visualising the data, carry out some benchmarking of hashing based algorithms on simulated data, and demonstrate the application of demuxSNP in scenarios where hashing quality is poor. Add any additional notes below.

[seandavi]

Hi, @michaelplynch. We have migrated to a new system based on Galaxy that @almahmoud is leading. He can work with you to get this into his system and is aware that you want to do something.

[michaelplynch]

Thanks Sean.