Tag: KEGG
-
How to Analyze RNAseq Data for Absolute Beginners Part 5: From DEGs to Pathways – Best Practices
Video Tutorial Introduction After completing the data preparation, statistical testing, and visualization steps, we’re finally ready to explore the biological significance of our RNA sequencing data. As biologists, this is the moment we’ve been waiting for – but how do we make sense of the hundreds or thousands of differentially expressed genes (DEGs) we’ve identified?…
//
Search
Recent Posts
- How to Analyze RNAseq Data for Absolute Beginners 21: A Comprehensive Guide to Batch Effects & Covariates Adjustment
- How to Analyze RNAseq Data for Absolute Beginners Part 20: Comparing limma, DESeq2, and edgeR in Differential Expression Analysis
- How to Analyze RNAseq Data for Absolute Beginners Part 19: Understanding RNA-Seq Gene Expression Normalization
- How to Analyze RNAseq Data for Absolute Beginners Part 18: Analyzing Viral Gene Expression in Host RNA-seq Data
Tags
Alternative Splicing Analysis breast cancer classification Cancer circRNA-seq circular RNA DESeq2 Differential Expression edgeR Fusion Gene Detection gene expression immune cell profiling Isoform limma microRNA miRNA miRNA-seq NCBI GEO Normalization Quantification RNA Editing Salmon small RNA smRNA smRNA-seq TPM Transcript UMI Virus Virus-Host Virus Gene Expression