Stars
main repo: https://github.com/ucscGenomeBrowser/cellBrowser/ - Python pipeline and Javascript scatter plot library for single-cell datasets, http://cellbrowser.rtfd.org
Awesome list of tools and methods to perform spatial transcriptomic data analysis.
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
An introduction to deepcell and deep learning
Spatial-eXpression-R: Cell type identification (including cell type mixtures) and cell type-specific differential expression for spatial transcriptomics
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
Genome Annotation Library - A perl toolkit for working with SO compliant genome annotations
RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.
SCINA: A Semi-Supervised Subtyping Algorithm of Single Cells and Bulk Samples
Spatial transcriptomics of heart tissue
Scripts to run and benchmark scRNA-seq cell cluster labeling methods
Accompanying code for the tutorial: Annotating single cell transcriptomic maps using automated and manual methods
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
Comparison of methods for trajectory inference on single-cell data 🥇
A CLI interface for Marp and Marpit based converters
A tool for semi-automatic cell type classification
Code and data used by the JASPAR profile inference tool
Collection of bioinformatics training materials
My CV built using RMarkdown and the pagedown package.
Modern JavaScript Tutorial