Tag: FASTQ
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The Complete Guide to NGS Data Types and Formats: From Raw Reads to Analysis-Ready Files
Master the essential file formats in next-generation sequencing analysis Introduction: Understanding the NGS Data Ecosystem Next-generation sequencing (NGS) has revolutionized biological research by enabling us to read DNA, RNA, and epigenetic modifications at an unprecedented scale. However, with this power comes complexity – NGS workflows generate dozens of different file formats, each serving specific purposes
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How to Analyze RNAseq Data for Absolute Beginners Part 2: From Fastq to Counts – Best Practices
Introduction The most straightforward way to obtain a count table is to request it directly from your sequencing company or your institution’s sequencing core. This option may involve an additional fee. However, for those eager to learn or save money, let’s walk through the process together. Before we dive in, a quick reminder: If you
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- 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



