Redirecting...
The canonical location for the OSCA book is now at https://bioconductor.org/books/release/OSCA/. This repository only exists to host a redirection to the new location for the book.
Bioconductor / OrchestratingSingleCellAnalysis-release
Licence: other
An online companion to the OSCA manuscript demonstrating Bioconductor resources and workflows for single-cell RNA-seq analysis.
Stars: ✭ 35
Projects that are alternatives of or similar to OrchestratingSingleCellAnalysis-release
alevin-fry
🐟 🔬🦀 alevin-fry is an efficient and flexible tool for processing single-cell sequencing data, currently focused on single-cell transcriptomics and feature barcoding.
Stars: ✭ 78 (+122.86%)
Mutual labels: rna-seq, single-cell, single-cell-rna-seq
velodyn
Dynamical systems methods for RNA velocity analysis
Stars: ✭ 16 (-54.29%)
Mutual labels: rna-seq, single-cell
iDEA
Differential expression (DE); gene set Enrichment Analysis (GSEA); single cell RNAseq studies (scRNAseq)
Stars: ✭ 23 (-34.29%)
Mutual labels: rna-seq, single-cell
CellO
CellO: Gene expression-based hierarchical cell type classification using the Cell Ontology
Stars: ✭ 34 (-2.86%)
Mutual labels: rna-seq, single-cell-rna-seq
EWCE
Expression Weighted Celltype Enrichment. See the package website for up-to-date instructions on usage.
Stars: ✭ 30 (-14.29%)
Mutual labels: single-cell, single-cell-rna-seq
SPLiT-Seq demultiplexing
An unofficial demultiplexing strategy for SPLiT-seq RNA-Seq data
Stars: ✭ 20 (-42.86%)
Mutual labels: single-cell, single-cell-rna-seq
kmer-homology-paper
Manuscript for functional prediction of transcriptomic “dark matter” across species
Stars: ✭ 12 (-65.71%)
Mutual labels: single-cell, single-cell-rna-seq
scCATCH
Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
Stars: ✭ 137 (+291.43%)
Mutual labels: rna-seq, single-cell
Nebulosa
R package to visualize gene expression data based on weighted kernel density estimation
Stars: ✭ 50 (+42.86%)
Mutual labels: single-cell, single-cell-rna-seq
scaden
Deep Learning based cell composition analysis with Scaden.
Stars: ✭ 61 (+74.29%)
Mutual labels: rna-seq, single-cell-rna-seq
cellSNP
Pileup biallelic SNPs from single-cell and bulk RNA-seq data
Stars: ✭ 42 (+20%)
Mutual labels: rna-seq, single-cell
scTCRseq
Processing of single cell RNAseq data for the recovery of TCRs in python
Stars: ✭ 22 (-37.14%)
Mutual labels: rna-seq, single-cell-rna-seq
NGS
Next-Gen Sequencing tools from the Horvath Lab
Stars: ✭ 30 (-14.29%)
Mutual labels: rna-seq, single-cell
kallistobustools
kallisto | bustools workflow for pre-processing single-cell RNA-seq data
Stars: ✭ 79 (+125.71%)
Mutual labels: rna-seq, single-cell
drop
Pipeline to find aberrant events in RNA-Seq data, useful for diagnosis of rare disorders
Stars: ✭ 69 (+97.14%)
Mutual labels: rna-seq
scedar
Single-cell exploratory data analysis for RNA-Seq
Stars: ✭ 33 (-5.71%)
Mutual labels: single-cell-rna-seq
immunarch
🧬 Immunarch by ImmunoMind: R Package for Fast and Painless Exploration of Single-cell and Bulk T-cell/Antibody Immune Repertoires
Stars: ✭ 204 (+482.86%)
Mutual labels: single-cell
Whippet.jl
Lightweight and Fast; RNA-seq quantification at the event-level
Stars: ✭ 85 (+142.86%)
Mutual labels: rna-seq
scLearn
scLearn：Learning for single cell assignment
Stars: ✭ 26 (-25.71%)
Mutual labels: single-cell-rna-seq
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].