Next-Gen Sequencing tools from the Horvath Lab
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Updated
May 15, 2024 - Python
Next-Gen Sequencing tools from the Horvath Lab
GCModeller: genomics CAD(Computer Assistant Design) Modeller system in .NET language
netSmooth: A Network smoothing based method for Single Cell RNA-seq imputation
A command-line tool and library to process and analyze sequencing data from Molecular Pixelation (MPX) assays.
BRIE: Bayesian Regression for Isoform Estimate in Single Cells
scGEAToolbox: Matlab toolbox for single-cell gene expression analyses
Deconvolution of bulk RNA-seq data using single-cell RNA-seq data as reference
ADTnorm normalizes the cell surface protein measurement of CITE-seq data, facilitating across batches and across studies data integration.
A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA sequencing
Repository for Pachter Lab Biophysics
Perturbation Analysis in the scverse ecosystem.
Convert between AnnData and SingleCellExperiment
Python package to perform enrichment analysis from omics data.
SNV calling from single cell sequencing
Rapids_singlecell: A GPU-accelerated tool for scRNA analysis. Offers seamless scverse compatibility for efficient single-cell data processing and analysis.
An open, collaborative project to analyze data from the Single-cell Pediatric Cancer Atlas (ScPCA) Portal
Non-parametric density inference for single-cell analysis.
MiXCR is an ultimate software platform for analysis of Next-Generation Sequencing (NGS) data for immune profiling.
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