Dr. Aammar Tufail on Twitter: "Top 10 GitHub repositories for #RNAseq data analysis: A thread 馃У:" / Twitter
![Frontiers | Recent developments and future directions in meta-analysis of differential gene expression in livestock RNA-Seq Frontiers | Recent developments and future directions in meta-analysis of differential gene expression in livestock RNA-Seq](https://www.frontiersin.org/files/Articles/983043/fgene-13-983043-HTML-r1/image_m/fgene-13-983043-g001.jpg)
Frontiers | Recent developments and future directions in meta-analysis of differential gene expression in livestock RNA-Seq
![BioTuring Data Science Platform: A Jupyter notebook library of latest methods for single-cell analysis in R and Python - BioTuring's Blog BioTuring Data Science Platform: A Jupyter notebook library of latest methods for single-cell analysis in R and Python - BioTuring's Blog](https://blog.bioturing.com/wp-content/uploads/2022/05/bioturingdatascienceplatform.png)
BioTuring Data Science Platform: A Jupyter notebook library of latest methods for single-cell analysis in R and Python - BioTuring's Blog
![Quantitative and Qualitative RNA-Seq-Based Evaluation of Epstein-Barr Virus Transcription in Type I Latency Burkitt's Lymphoma Cells | Journal of Virology Quantitative and Qualitative RNA-Seq-Based Evaluation of Epstein-Barr Virus Transcription in Type I Latency Burkitt's Lymphoma Cells | Journal of Virology](https://journals.asm.org/cms/10.1128/jvi.01521-10/asset/d0df353d-fe73-4f21-831f-d5cbd5819c5b/assets/graphic/zjv9990940040001.jpeg)
Quantitative and Qualitative RNA-Seq-Based Evaluation of Epstein-Barr Virus Transcription in Type I Latency Burkitt's Lymphoma Cells | Journal of Virology
![mRIN for direct assessment of genome-wide and gene-specific mRNA integrity from large-scale RNA-sequencing data | Nature Communications mRIN for direct assessment of genome-wide and gene-specific mRNA integrity from large-scale RNA-sequencing data | Nature Communications](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fncomms8816/MediaObjects/41467_2015_Article_BFncomms8816_Fig1_HTML.jpg)
mRIN for direct assessment of genome-wide and gene-specific mRNA integrity from large-scale RNA-sequencing data | Nature Communications
![Cells | Free Full-Text | Detecting Interactive Gene Groups for Single-Cell RNA-Seq Data Based on Co-Expression Network Analysis and Subgraph Learning Cells | Free Full-Text | Detecting Interactive Gene Groups for Single-Cell RNA-Seq Data Based on Co-Expression Network Analysis and Subgraph Learning](https://www.mdpi.com/cells/cells-09-01938/article_deploy/html/images/cells-09-01938-g001.png)
Cells | Free Full-Text | Detecting Interactive Gene Groups for Single-Cell RNA-Seq Data Based on Co-Expression Network Analysis and Subgraph Learning
![A protocol to extract cell-type-specific signatures from differentially expressed genes in bulk-tissue RNA-seq - ScienceDirect A protocol to extract cell-type-specific signatures from differentially expressed genes in bulk-tissue RNA-seq - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S2666166722000016-fx1.jpg)
A protocol to extract cell-type-specific signatures from differentially expressed genes in bulk-tissue RNA-seq - ScienceDirect
![Transcriptomics based multi-dimensional characterization and drug screen in esophageal squamous cell carcinoma - eBioMedicine Transcriptomics based multi-dimensional characterization and drug screen in esophageal squamous cell carcinoma - eBioMedicine](https://www.thelancet.com/cms/asset/9fabb259-6d25-4e20-b1e4-15786f02f7fc/gr1.jpg)
Transcriptomics based multi-dimensional characterization and drug screen in esophageal squamous cell carcinoma - eBioMedicine
GitHub - theislab/single-cell-tutorial: Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
![Genes | Free Full-Text | OneStopRNAseq: A Web Application for Comprehensive and Efficient Analyses of RNA-Seq Data Genes | Free Full-Text | OneStopRNAseq: A Web Application for Comprehensive and Efficient Analyses of RNA-Seq Data](https://www.mdpi.com/genes/genes-11-01165/article_deploy/html/images/genes-11-01165-g003.png)