Next-Gen Sequencing tools from the Horvath Lab
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Updated
May 29, 2024 - Python
Next-Gen Sequencing tools from the Horvath Lab
Single cell Nanopore sequencing data for Genotype and Phenotype
Single-cell Pediatric Cancer Atlas Portal is a growing database of uniformly processed single-cell data from pediatric cancer tumors and model systems
Multi-omic single-cell optimal transport tools
Perturbation Analysis in the scverse ecosystem.
Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)
Rapids_singlecell: A GPU-accelerated tool for scRNA analysis. Offers seamless scverse compatibility for efficient single-cell data processing and analysis.
LIANA+: an all-in-one framework for cell-cell communication
A command-line tool and library to process and analyze sequencing data from Molecular Pixelation (MPX) assays.
SCRIP(Single Cell Regulatory network Inference using ChIP-seq) is a tool for evaluating the binding enrichment of specific TR at single-cell resolution based on scATAC-seq.
Python API and Jupyter widget for Vitessce
DANCE: a deep learning library and benchmark platform for single-cell analysis
This repository includes code and a pre-trained model of scHiGex for single-cell gene expression prediction.
Formalizing and benchmarking open problems in single-cell genomics
A user-friendly toolkit for QC, counting, clustering and plotting of single-cell (epi)genomics data
Diffusion model for gene regulatory network inference.
single-cell functional genomics analysis platform
GCtree: phylogenetic inference of genotype-collapsed trees
Python package to perform enrichment analysis from omics data.
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