CSHL Single Cell Biology Core
Useful Links
Links to the protocols for standard 10x genomics library prep
scRNA-seq 3’ gene expression version 3.1:
scRNA-seq/Immune profiling (5’ chemistry) version 2:
scATAC-seq version 2:
sc-Multiomics (ATAC + 3’ Gene Expression):
Spatial Transcriptomics:
Library Design Schematics (for planning custom workflows, etc)
Link to locally hosted sc 3’GEX Assay Scheme:
https://drive.google.com/file/d/10wv2M2L1YitmCKm5G-SPMUAV3_MP_J3F/view?usp=sharing
Link to locally hosted sc 5’GEX Assay Scheme:
https://drive.google.com/file/d/1GY40dQm6bOgmJb30T91rufB4eIVxctmh/view?usp=sharing
Link to locally hosted sc ATAC Assay Scheme:
https://drive.google.com/file/d/1kY4OHa8rUxEAoWLkFu_QlZnsNIVEHkeb/view?usp=sharing
Gene Expression Sample index plate: (At this time we use i7 indexes only for all gene expression libraries)
ATAC-seq sample index plate:
Single Cell Data Analysis
Seurat (R)
Scanpy (Python)
Introduction to single-cell RNA-seq data analysis in Python using scanpy (Dr. Maren Büttner, Postdoc at the ICB of the Helmholtz Munich, explains how to conduct analysis using scanpy in a 9-part series)
Guidelines for the computational analysis of single-cell RNA sequencing data
awesome-single-cell (software packages for single cell analysis)
Slides Webinar (Jon's Loupe Tutorial)
scrna-tools: catalogue of tools for analysing single-cell RNA seq data