Tag: chromatin accessibility
-

How To Analyze ATAC-seq Data For Absolute Beginners Part 3: Footprinting Analysis
Introduction: Unveiling Transcription Factor Binding Sites with ATAC-seq Footprinting After mastering the basics of ATAC-seq data processing and peak calling in our previous tutorials, we now delve into one of the most powerful analytical techniques this assay enables: footprinting analysis. While standard ATAC-seq analysis reveals regions of open chromatin, footprinting takes this a step further
//
-

How To Analyze ATAC-seq Data For Absolute Beginners Part 2: Differential Binding Analysis Using DiffBind
Introduction: The Power of Comparative ATAC-seq Analysis ATAC-seq (Assay for Transposase-Accessible Chromatin with high-throughput sequencing) has revolutionized chromatin accessibility mapping by requiring minimal input material and offering streamlined workflows. While identifying accessible regions in a single condition provides valuable insights, the most compelling biological discoveries often come from comparing accessibility between different experimental conditions –
//
-

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
//
Search
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



