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How To Analyze Whole Genome Sequencing Data For Absolute Beginners Part 5: Identifying Disease- or Patient-Specific Variants
Introduction: From Variants to Disease Genes After successfully calling variants in your whole genome sequencing samples (as covered in Part 1 of this series), you now face an exciting challenge: among the millions of genetic variants present in the human genome, which ones are actually responsible for disease? Every human genome contains approximately 4-5 million
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How To Analyze Whole Genome Sequencing Data For Absolute Beginners Part 4: Visualizing and Interpreting Somatic Mutations
Introduction: From Multiple VCF Files to Biological Insights This tutorial builds upon our previous whole genome sequencing analysis pipeline, specifically the mutation calling results from Part 2A: Matched Tumor-Normal Mutation Calling with Mutect2. You should now have multiple high-confidence VCF files from different tumor-normal pairs that need to be converted to MAF (Mutation Annotation Format)
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How To Analyze Whole Genome Sequencing Data For Absolute Beginners Part 3: Annotating SNVs and Mutations with Multiple Tools
A comprehensive step-by-step guide to understanding the functional impact of genomic variants using GATK Funcotator, Ensembl VEP, SnpEff, and ANNOVAR Introduction: From Variants to Biological Meaning After successfully identifying genomic variants using GATK (covered in Part 1) and discovering somatic mutations with Mutect2 (detailed in Part 2A), you now have VCF files containing thousands of
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How To Analyze Whole Genome Sequencing Data For Absolute Beginners Part 2B: Unmatched Sample Mutation Calling Strategies
Introduction: Real-World Mutation Calling Challenges Welcome to Part 2B of our somatic mutation analysis series! In Part 2A, we learned the gold standard approach using matched tumor-normal pairs. However, in real-world scenarios, you often face situations where matched normal samples aren’t available. Common Unmatched Sample Scenarios Clinical Archives: Historical tumor samples without corresponding normal tissuePopulation
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How To Analyze Whole Genome Sequencing Data For Absolute Beginners Part 2A: Matched Tumor-Normal Mutation Calling With Mutect2
Introduction to Matched Tumor-Normal Analysis Welcome back to our whole genome sequencing analysis journey! In Part 1, we learned how to process raw sequencing data and identify germline variants using GATK’s best practices. Now we’re ready to tackle the gold standard approach for detecting somatic mutations: matched tumor-normal analysis. What Are Somatic Mutations? Somatic mutations
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How to Analyze RNA-seq Data for Absolute Beginners Part 16-2: Fusion Gene Detection with FusionCatcher
Introduction: Advanced Fusion Detection for Cancer Research Building on our previous exploration of fusion gene detection with STAR-Fusion (Part 16), we now delve into FusionCatcher, a specialized tool that has become the gold standard for detecting somatic fusion genes in cancer samples. While both tools excel at fusion detection, FusionCatcher offers unique capabilities that make
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How To Analyze Whole Genome Sequencing Data For Absolute Beginners Part 1: From Raw Reads to High-Quality Variants Using GATK
Understanding Whole Genome Sequencing and Its Applications What is Whole Genome Sequencing (WGS)? Whole Genome Sequencing represents one of the most comprehensive approaches to studying genetic variation across an entire organism’s DNA. Unlike targeted sequencing approaches that focus on specific regions of interest, WGS captures virtually every nucleotide in the genome, providing an unbiased view
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How To Analyze DNA Methylation Data For Absolute Beginners Part 3: From WGBS and RRBS Methylation Calls to Biological Insights
Introduction: From Methylation Calls to Biological Understanding In Part 2 of this series, we successfully preprocessed DNA methylation data from raw FASTQ files through to methylation calls using WGBS and RRBS approaches. Now comes the exciting part: transforming those methylation measurements into meaningful biological insights. This tutorial will guide you through the statistical analysis, visualization,
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How To Analyze DNA Methylation Data For Absolute Beginners Part 2: From Raw Data to Methylation Calls with WGBS and RRBS
Introduction: Understanding DNA Methylation Sequencing Technologies DNA methylation represents one of the most important epigenetic modifications in mammalian genomes, playing crucial roles in gene regulation, development, and disease. This chemical modification occurs when a methyl group is added to cytosine bases, primarily in CpG dinucleotide contexts. Understanding where and how methylation patterns change across different
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How To Analyze DNA Methylation Data For Absolute Beginners Part 1: From Raw EPIC Arrays To Biological Insights
A comprehensive step-by-step tutorial for analyzing DNA methylation data using Illumina Infinium MethylationEPIC BeadChip v2.0 Understanding DNA Methylation and Its Biological Significance DNA methylation represents one of the most important epigenetic modifications in mammalian genomes, acting as a molecular switch that regulates gene expression without altering the underlying DNA sequence. This chemical modification primarily occurs
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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