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fusca icon fusca

Framework for Unified Single-Cell Analysis (FUSCA) is a software package for single-cell data analysis developed in R. At the moment, it contains two modules: 1) CellRouter, for reconstruction of complex single-cell trajectories, and 2) CellComm, to infer intercellular communication networks from scRNA-seq data.

gatk icon gatk

Official code repository for GATK versions 4 and up

genomicsupersignature icon genomicsupersignature

Interpretation of RNAseq experiments through robust, efficient comparison to public databases

gficf icon gficf

An R implementation of the Gene Frequency - Inverse Cell Frequency method for single cell data normalization

ggdensity icon ggdensity

An R package for interpretable visualizations of bivariate density estimates

gget icon gget

gget enables efficient querying of genomic databases, such as Ensembl, UniProt, NCBI, directly into a Python or terminal programming environment. It was designed to support genomic data analysis.

ggplot2 icon ggplot2

An implementation of the Grammar of Graphics in R

ggseg icon ggseg

Plotting tool for brain atlases, in ggplot

gseapy icon gseapy

Gene Set Enrichment Analysis in Python

handcalcs icon handcalcs

Python library for converting Python calculations into rendered latex.

hippo icon hippo

Heterogeneity Induced Pre-Processing tOol

ibrap icon ibrap

single-cell RNA-sequencing integrative, benchmarking tool.

immunarch icon immunarch

🧬 Immunarch by ImmunoMind: R Package for Fast and Painless Exploration of Single-cell and Bulk T-cell/Antibody Immune Repertoires

immunedeconv icon immunedeconv

A unified interface to immune deconvolution methods (CIBERSORT, EPIC, quanTIseq, TIMER, xCell, MCPcounter)

iobr icon iobr

IOBR is an R package to perform comprehensive analysis of tumor microenvironment and signatures for immuno-oncology.

ktplots icon ktplots

Some tools for plotting single-cell data

leiden icon leiden

Implementation of the Leiden algorithm called by reticulate in R. (CRAN)

leidenalg icon leidenalg

Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.

liger icon liger

R package for integrating and analyzing multiple single-cell datasets

loompy icon loompy

Python implementation of the Loom file format - http://loompy.org

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