RNA-seq-analysis
RNAseq analysis notes from Ming Tang
AI summary
RNA analysis toolbox
A collection of resources and tools for analyzing RNA sequencing data using Python and Snakemake workflows
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RNA Seq Analyzer
Analyzes single-cell RNA-seq data using statistical models and machine learning algorithms
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An educational tutorial and working demonstration pipeline for RNA-seq analysis on the cloud
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Analyzes single-cell RNA-seq data to detect allele-specific copy number variations and infer lineage relationships in cancer cells
RNA analysis toolkit
A suite of functions for analyzing and visualizing RNA sequencing data
RNASeq pipeline
A pre-processing workflow for SingleCell RNASeq data from raw sequencing data to final count matrix with QC plots.
TCR data recovery pipeline
An open-source Python pipeline for processing single-cell RNA sequencing data to recover T cell receptor sequences.
Splice analyzer
Automates detection and quantification of alternative splicing events from RNA seq data using graph databases.
Cell analysis tool
Provides statistical methods for analyzing single-cell RNA-seq data, focusing on error modeling and differential expression analysis.
Single-cell RNA-seq analysis pipeline
A software pipeline for analyzing single-cell RNA-seq data from droplet-based experiments
Seq analyzer
A Python library to facilitate analysis of data from high-throughput sequencing experiments.
RNA data analyzer
Tools and utilities for single-cell RNA-seq data analysis with network features
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