Tag: GO
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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?…
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Recent Posts
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- The Complete Guide to NGS Data Types and Formats: From Raw Reads to Analysis-Ready Files
- How To Analyze CUT&RUN/Tag Data For Absolute Beginners: From FASTQ to Peaks
- How To Analyze ATAC-seq Data For Absolute Beginners Part 4: ATAC-seq and RNA-seq Integration
Tags
Adapter Trimming Alternative Splicing Analysis ATAC-seq BAM ChIP-seq chromatin accessibility Conda Environment Setting Count DESeq2 Differential Expression edgeR FASTQ gene expression Gene Expression Quantification HOMER HPC Isoform limma MACS2 miRNA miRNA-seq Normalization PCA peak calling R Reads Mapping RNAseq analysis RNAseq analysis for beginners RStudio Transcript