Introducing Single Cell RNAseq, Updates to plot customizations and ENCODE public data
New Features
- Guided Analysis for Single Cell RNAseq
- Apply colours to scatter on basis of multiple properties from your data file
- Run pipelines with public data from ENCODE
Guided Analysis for Single Cell RNAseq - Beta
Process 10X Genomics 3' Single Cell Sequencing Data with our 6 step guided analysis. In a code free environment you will be able to tailor a Cell Ranger and Seurat pipeline to suite your experimental needs. Begin with raw FASTQ files and end with a UMAP labeled with cell type identities.
Learn more about our Guided scRNA Analysis here.
If you would like to try our scRNA Guided Analysis we encourage you to contact your account manager for an onboarding session.
Plot Configurations
Customize plots with an updated configurations panel.
- Apply shape and colour customizations to scatter plots on the basis of 1-2 dimensions e.g. fold change and P value. Learn More about scatter plot customizations here.
- Updated UI/UX for plot customizations and single data point customizations
Public Data - Beta
Run pipelines with raw total RNAseq human data from the ENCODE database.
Learn more about how to work with ENCODE data on the BioBox platform here.