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18 search results found

R/shiny interface for interactive visualization of data in SummarizedExperiment objects

STREAM: Single-cell Trajectories Reconstruction, Exploration And Mapping of single-cell data

Dittoseq ⭐ 153

Color blindness friendly visualization of single-cell and bulk RNA-sequencing data

Sccustomize ⭐ 142

R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.

Generate high quality, publication ready visualizations for single cell transcriptomics data.

Too Many Cells ⭐ 95

Cluster single cells and analyze cell clade relationships with colorful visualizations.

Topometry ⭐ 69

Systematically learn and evaluate manifolds from high-dimensional data

Multi-sample Unified Discriminant ANalysis

Cirrocumulus ⭐ 63

Bring your single-cell data to life

Seuratv3wizard ⭐ 26

A web-based interactive (wizard style) application to perform a guided single-cell RNA-seq data analysis and clustering based on Seurat v3

ASAP : Automated Single-cell Analysis Pipeline

A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.

NASQAR: A web-based platform for High-throughput sequencing data analysis and visualization

Trendcatcher ⭐ 7

TrendCatcher is an open source R-package that allows users to systematically analyze and visualize time course data. Please cite "Temporal transcriptomic analysis using TrendCatcher identifies early and persistent neutrophil activation in severe COVID-19" by Xinge Wang et al published in JCI Insight (2022) - https://insight.jci.org/articles/view/157255

Dea_seurat ⭐ 6

A Snakemake workflow for performing differential expression analyses (DEA) on (multimodal) sc/snRNA-seq data powered by the R package Seurat.

Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)

Yet another single-cell analysis toolkit

R package to visualize colocalization for single cell & spatially-resolved genomics data

Genocraft ⭐ 5

GenoCraft: A Comprehensive, User-Friendly Web-Based Platform for High-Throughput Omics Data Analysis and Visualization

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