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devCellPy is a Python package designed for hierarchical multilayered classification of cells based on single-cell RNA-sequencing.
Code and pipelines from our analysis of 2,922 UKB-PPP pQTLs as biomarkers for T1D.
Single sample Gene Set Enrichment analysis (ssGSEA) and PTM Enrichment Analysis (PTM-SEA)
Annotation-free quantification of RNA splicing. Yang I. Li, David A. Knowles, Jack Humphrey, Alvaro N. Barbeira, Scott P. Dickinson, Hae Kyung Im, Jonathan K. Pritchard
Generate high quality, publication ready visualizations for single cell transcriptomics data.
R toolkit for the analysis of single-cell chromatin data
Reference-guided transcript discovery and quantification for long read RNA-Seq data
Simple implementation of different single cell RNA-seq methods
This is an AI agent for Street Fighter II Champion Edition.
Download FASTQ files from SRA or ENA repositories.
Antique or modern atlas-like depictions of non-linear dimensionality reduction for single cell data
8000 BorchLab / escape
Easy single cell analysis platform for enrichment
Data from Lewis, Barnes, Blighe et al., Cell Rep. 2019 Aug 27; 28(9): 2455–2470.e5.
Niche Interactions and Cellular Heterogeneity in Extracellular Signaling
R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.
A collection of resources for learning about tools and programming languages related to Bioinformatics
Python code for genetic marker selection using linear programming
⚡ Dynamically generated stats for your github readmes
A guide to using a Seurat object in conjunction with RNA Velocity
R functions for analysing RPPA data from the Zeptosen system
R package for detecting differential distributions using a statistical test based on the wasserstein distance
R package for detecting doublets in single-cell RNA sequencing data