Identify highly variables genes in scRNA-seq data using Bayesian inference.
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Updated
Nov 14, 2024 - R
Identify highly variables genes in scRNA-seq data using Bayesian inference.
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
Various utility functions for Seurat single-cell analysis
An open, collaborative project to analyze data from the Single-cell Pediatric Cancer Atlas (ScPCA) Portal
R package for integrating and analyzing multiple single-cell datasets
A Snakemake workflow and MrBiomics module for processing and visualizing (multimodal) sc/snRNA-seq data generated with 10X Genomics Kits or in the MTX matrix file format powered by the R package Seurat.
GCModeller: genomics CAD(Computer Assistant Design) Modeller system in .NET language
Data toolkits for processing NMR, MALDI MSI, MALDI single cell, Raman Spectroscopy, LC-MS and GC-MS raw data, chemoinformatics data analysis and data visualization.
A command-line tool and library to process and analyze sequencing data from Molecular Pixelation (MPX) assays.
Convert your single-cell/spatial analyses to parallel HPC/cloud workflows just using pipes in R
scGEAToolbox: Matlab toolbox for single-cell gene expression analyses
Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space
The AnnSQL package enables SQL based queries on AnnData objects.
Characterize gene dynamics over trajectories using GLMs, GEEs, & GLMMs.
Single-cell Pediatric Cancer Atlas Portal is a growing database of uniformly processed single-cell data from pediatric cancer tumors and model systems
Next-Gen Sequencing tools from the Horvath Lab
A single cell transcriptomics pipeline for QC, integration and making the data presentable
Awesome GRN enhanced AnnData toolkit
A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.
Single cell analysis using Low Resource
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