Tag: CopyKAT R package beginner guide
-
How to Analyze Single-Cell RNA-seq Data — Complete Beginner’s Guide Part 11: Copy Number Variation Analysis Using CopyKAT
Learn how to detect tumor cells, infer chromosomal copy number changes, and uncover subclonal structure directly from single-cell RNA-seq data — no matched DNA sequencing required Introduction: Reading the Cancer Genome Through Gene Expression What Is Copy Number Variation and Why Does It Matter in Cancer? If you have followed this tutorial series, you have
//
Search
Categories
- bulk RNA-seq (27)
- chromatin accessibility (14)
- Database (4)
- Epigenetics (14)
- Genomics (10)
- HPC (5)
- Metagenomics (1)
- Quick Tips (1)
- RNA-seq (15)
- Scientific Programming (5)
- Single Cell Sequencing (15)
- Transcriptomics (28)
Recent Posts
- How to Analyze Single-Cell RNA-seq Data — Complete Beginner’s Guide Part 13: RNA Velocity Analysis with scVelo
- How to Analyze Single-Cell RNA-seq Data – Complete Beginner’s Guide Part 12: Build Gene Co-expression Networks Using hdWGCNA
- How to Analyze Single-Cell RNA-seq Data — Complete Beginner’s Guide Part 11: Copy Number Variation Analysis Using CopyKAT
- No More Command-Line Only: Run Jupyter Lab, RStudio, and VS Code Interactively in Your Browser on Any HPC Cluster with Pixi
Tags
Alternative Splicing Analysis ATAC-seq BAM ChIP-seq chromatin accessibility CNV DESeq2 Differential Expression edgeR FASTQ GATK Mutect2 gene expression heatmap HOMER HPC Isoform limma MACS2 MAF miRNA miRNA-seq MSigDB Normalization peak calling RNA-seq SLURM somatic mutations Transcript VCF whole genome sequencing