Tag: disease genetics
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How To Perform Genome-Wide Association Analysis (GWAS) For Absolute Beginners: From Raw Variants to Disease-Associated Loci Using PLINK
Introduction: Understanding Genome-Wide Association Studies After successfully calling variants from whole genome sequencing data (covered in Part 1 of our WGS series), you now have VCF files containing millions of genetic variants across multiple individuals. But which of these variants contribute to disease risk or influence quantitative traits? This is where Genome-Wide Association Studies (GWAS)
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Recent Posts
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- How to Analyze Single-Cell RNA-seq Data from Patient-Derived Xenograft (PDX) Models — Complete Beginner’s Guide Part 8: Processing Human-Mouse Mixed Samples
- How to Analyze Single-Cell RNA-seq Data – Complete Beginner’s Guide Part 7: Trajectory and Pseudotime Analysis Using Monocle 3
- How to Convert BAM Files Back to FASTQ Files: A Practical Guide for NGS Analysis
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Alternative Splicing Analysis ATAC-seq BAM cancer genomics 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 somatic mutations Transcript VCF whole genome sequencing