Are you looking for information on how to examine your scKaryo-seq data? This post will introduce you to the basics of scKaryo-seq analysis, enjoy!

It’s finally there, your sequencing data is back and you’re eager to dive in. However you quickly realize that your submitted 384 wells plate had cell groups distributed in columns but the well index is now labeled in rows.. How do you get your cell data out? Well, keep calm and please read on.

With all the information available about genome sequencing one could easily be forgiven to know that within many genome references there are still genomic regions that have not been characterized in much detail. Sometimes it might be a good idea to use a different reference genome than your current one. In this blog we’ll walk you through the steps of remapping your data following the pre-processing methods used at the Single Cell Core.

Within the single cell core your raw sequencing data will likely been pre-processed using the SingleCellMultiOmics package from the Alexander van Oudenaarden lab. This package holds many tools to aid with your sequencing data analysis. But with great power also comes great complexity.. As such this post will help guide you through the installation process.

Many sequencing analysis tools can work within a Windows operating system just fine, however, sometimes, at some point, you might find that the best tool for the job was designed to solely work in a unix environment. What now? Well, did you know there can be a Linux within your Windows?