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New York University School of Medicine
- New York, NY, USA
Highlights
- Pro
Stars
A set of ready to use Agent Skills for research, science, engineering, analysis, finance and writing.
Collaborative cheatsheets for console commands π.
Conda recipes for the bioconda channel.
Official code repository for GATK versions 4 and up
Identify which human reference genome was used to align a BAM/SAM/CRAM file
Python and R SOMA APIs using TileDBβs cloud-native format. Ideal for single-cell data at any scale.
π¦ Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools likβ¦
A library of free open source icons for science illustrations in biology and chemistry
CellRank: dynamics from multi-view single-cell data
𧬠o r t h o g e n e π§¬β¨β¨β¨β¨β¨β¨β¨ Interspecies gene mappingβ¨β¨β¨β¨β¨ π¦ π π± π π³ π π π π π πͺ± π πͺ° π π π π¦ π π π π¦ π π π π π π π π π π π π π π π π π 𦧠π π¦ π πββοΈ
πVisualization and annotation of phylogenetic trees
A topic-centric list of HQ open datasets.
High-velocity, monorepo-scale workflow for Git
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.
R package implementation of Milo for testing for differential abundance in KNN graphs
R package for the joint analysis of multiple single-cell RNA-seq datasets
Lorem-Ipsum-like Helpers for fast Shiny Prototyping
Convert Seurat objects to 10x Genomics Loupe files.
Implements *CellAnnotator (aka *CAT/starCAT), annotating scRNA-Seq with predefined gene expression programs
Analysis pipeline for cancer sequencing data
Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and OME-TIFF.
A cross-platform and ultrafast toolkit for FASTA/Q file manipulation
Scientific Inkscape: Inkscape extensions for figure resizing and editing
A lightweight version of R Markdown (without using Pandoc or knitr)