Tag: MACS2
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How To Analyze CUT&RUN/Tag Data For Absolute Beginners: From FASTQ to Peaks
A comprehensive step-by-step guide to understanding and analyzing CUT&RUN and CUT&Tag data for high-precision chromatin profiling Introduction: The Evolution of Chromatin Profiling Technologies Understanding protein-DNA interactions and chromatin organization remains one of molecular biology’s most fundamental challenges. While ChIP-seq and ATAC-seq have been the gold standards for chromatin profiling, CUT&RUN (Cleavage Under Targets and Release
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How To Analyze ATAC-seq Data For Absolute Beginners Part 1: From FASTQ To Peaks
Introduction: Understanding ATAC-seq At the heart of molecular biology lies a fundamental question: how do cells regulate which genes are expressed and when? One powerful technique to explore this question is Assay for Transposase-Accessible Chromatin sequencing, commonly known as ATAC-seq. This tutorial introduces beginners to the fascinating world of ATAC-seq data analysis using HOMER and
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How To Analyze ChIP-seq Data For Absolute Beginners Part 4: From FASTQ To Peaks With MACS2
Introduction: Expanding Your ChIP-seq Analysis Toolkit Chromatin immunoprecipitation followed by sequencing (ChIP-seq) has revolutionized our understanding of protein-DNA interactions across the genome. In this fourth installment of our ChIP-seq tutorial series, we explore an alternative approach to peak calling using MACS2 (Model-based Analysis of ChIP-Seq), a widely used and statistically robust tool that complements the
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Categories
- bulk RNA-seq (27)
- chromatin accessibility (14)
- Database (4)
- Epigenetics (14)
- Genomics (10)
- HPC (5)
- Metagenomics (1)
- Quick Tips (1)
- RNA-seq (14)
- Scientific Programming (5)
- Single Cell Sequencing (14)
- Transcriptomics (28)
Recent Posts
- 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
- How to Analyze Single-Cell RNA-seq Data – Complete Beginner’s Guide Part 10: Cell-Cell Communication Analysis Using NicheNet
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



