A simple pip-installable Python tool to generate your own HTML citation world map from your Google Scholar ID.

Comprehensive Single-Cell Annotation and Transcriptomic Analysis Toolkit

Downloads videos and playlists from YouTube

🍰 Desktop utility to download images/videos/music/text from various websites, and more.

A cross-platform GUI for youtube-dl made in Electron and node.js

🦭 Video/Audio Downloader for Android, based on yt-dlp, designed with Material You

scplotter is an R package that is built upon plotthis. It provides a set of functions to visualize single-cell sequencing data in an easy and efficient way.

One-step to Cluster and Visualize Gene Expression Matrix

Useful functions to make your scRNA-seq plot more cool!

AUCell: score single cells with gene regulatory networks

Scissor package

pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene reg…

SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.

Multi-subject Single Cell Deconvolution

Inferring CNV from Single-Cell RNA-Seq

NicheNet: predict active ligand-target links between interacting cells

R toolkit for inference, visualization and analysis of cell-cell communication from single-cell and spatially resolved transcriptomics

Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data

A Bayesian model for compositional single-cell data analysis

Accurate sample inference from amplicon data with single nucleotide resolution

Differential abundance (DA) and correlation analyses for microbial absolute abundance data

Simple statistical identification and removal of contaminants in marker-gene and metagenomics sequencing data

Methods for detecting doublets in single-cell sequencing data

Spatial-eXpression-R: Cell type identification (including cell type mixtures) and cell type-specific differential expression for spatial transcriptomics

CellBender is a software package for eliminating technical artifacts from high-throughput single-cell RNA sequencing (scRNA-seq) data.

R package to quantify and remove cell free mRNAs from droplet based scRNA-seq data