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Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
python
analysis
atac-seq
cell-cycle
clustering
single-cell
awesome-list
rna-seq-data
cell-clusters
bioinformatics
scrna-seq-data
gene-expression
cell-populations
data-integration
analysis-pipeline
data-visualization
rna-seq-experiments
cell-differentiation
dimensionality-reduction
gene-expression-profiles
Created
2016-06-29
791 commits to master branch, last one 18 days ago
🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment
Created
2015-03-19
1,907 commits to master branch, last one 8 months ago
NicheNet: predict active ligand-target links between interacting cells
Created
2018-02-05
495 commits to master branch, last one 2 months ago
Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
Created
2021-10-23
178 commits to main branch, last one about a month ago
Spatial alignment of single cell transcriptomic data.
Created
2020-08-21
299 commits to master branch, last one about a year ago
One-step to Cluster and Visualize Gene Expression Matrix
Created
2022-11-19
139 commits to main branch, last one 12 days ago
R/shiny interface for interactive visualization of data in SummarizedExperiment objects
Created
2017-12-06
3,245 commits to devel branch, last one 2 days ago
Python3 binding to mRMR Feature Selection algorithm (currently not maintained)
Created
2017-03-09
228 commits to master branch, last one 3 years ago
R package to access DoRothEA's regulons
Created
2017-03-27
282 commits to master branch, last one 9 months ago
😎 A curated list of software and resources for exploring and visualizing (browsing) expression data 😎
Created
2019-03-30
186 commits to main branch, last one 7 months ago
Power analysis is essential to optimize the design of RNA-seq experiments and to assess and compare the power to detect differentially expressed genes. PowsimR is a flexible tool to simulate and evalu...
Created
2017-04-16
82 commits to master branch, last one about a year ago
CodonTransformer: The ultimate tool for codon optimization, optimizing DNA sequences for heterologous protein expression across 164 species.
Created
2024-05-24
245 commits to main branch, last one 29 days ago
BASiCS: Bayesian Analysis of Single-Cell Sequencing Data. This is an unstable experimental version. Please see http://bioconductor.org/packages/BASiCS/ for the official release version
Created
2015-05-19
1,003 commits to devel branch, last one 8 months ago
A repository with exploration into using transformers to predict DNA ↔ transcription factor binding
Created
2021-12-08
234 commits to main branch, last one 2 years ago
Repository for the R package EPIC, to Estimate the Proportion of Immune and Cancer cells from bulk gene expression data.
Created
2017-01-18
28 commits to master branch, last one about a year ago
Enjoy your transcriptomic data and analysis responsibly - like sipping a cocktail
Created
2019-06-24
1,092 commits to devel branch, last one about a month ago
Fast visualization tool for large-scale and high dimensional single-cell data
Created
2018-02-13
1,617 commits to master branch, last one 3 years ago
This repository contains the python package for Helical
Created
2024-04-27
830 commits to release branch, last one 28 days ago
BioBombe: Sequentially compressed gene expression features enhances biological signatures
Created
2018-03-22
234 commits to master branch, last one 3 years ago
Convert Counts to Fragments per Kilobase of Transcript per Million (FPKM)
Created
2019-03-23
172 commits to master branch, last one 3 years ago
characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomics data with nonuniform cellular densities
Created
2018-04-26
184 commits to master branch, last one 2 years ago
This repository has no description...
Created
2020-01-30
56 commits to master branch, last one 2 years ago
Single cell Nanopore sequencing data for Genotype and Phenotype
Created
2022-09-13
34 commits to v1.1 branch, last one 2 months ago
This project aims to predict people who will survive breast cancer using machine learning models with the help of clinical data and gene expression profiles of the patients.
Created
2021-05-30
42 commits to main branch, last one 3 years ago