CWGFLHGCCHAP_2021
Cell RNA-Seq Analysis
Analyzing multiplexed single-cell RNA-seq data from a marine organism, providing tools for preprocessing, clustering, and analysis of gene expression across different cell types.
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Language: Jupyter Notebook
last commit: over 2 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
| pachterlab/mbgblhgp_2019 | Code repository for reproducing RNA-seq data analysis results from a specific scientific paper | 23 |
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 nghiavtr/bpsc | A package for analyzing single-cell RNA-seq data using a beta-Poisson model. | 16 |
 kharchenkolab/numbat | Analyzes single-cell RNA-seq data to detect allele-specific copy number variations and infer lineage relationships in cancer cells | 171 |
| pachterlab/kb_python | A Python package that provides a unified interface to multiple pre-processing workflows for single-cell RNA-seq data. | 157 |
| pachterlab/kallistobustools | A workflow for pre-processing single-cell RNA-seq data using Kallisto and Bustools. | 115 |
| pachterlab/pcca | A software project that performs statistical analysis on biological data using Principal Component Correlation Analysis (PCCA) and related methods. | 18 |
 hms-dbmi/scde | Provides statistical methods for analyzing single-cell RNA-seq data, focusing on error modeling and differential expression analysis. | 173 |
 rglab/mast | Provides tools and methods for analyzing single-cell RNA sequencing data using statistical models | 228 |
 cellgeni/scrna.seq.course | An educational resource teaching computational analysis of single-cell RNA-seq data using R and Bioconductor tools | 125 |
 theislab/single-cell-tutorial | Provides a comprehensive tutorial and workflow for single-cell RNA-seq analysis | 1,419 |
 gao-lab/cell_blast | An open-source tool for querying and annotating large-scale single-cell RNA-seq data using similarity searches. | 87 |
 snakemake-workflows/single-cell-rna-seq | A workflow generator for single-cell RNA-seq data analysis | 100 |
 zjufanlab/sccatch | Automated tool for annotating cell types from single-cell RNA sequencing data based on marker genes | 219 |
 fmicompbio/adv_scrnaseq_2020 | Educational materials and exercises for a course on advanced topics in single-cell transcriptomics | 17 |