Tag: PCA
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How to Analyze RNAseq Data for Absolute Beginners Part 3: From Count Table to DEGs – Best Practices
Video Tutorial As we move forward in our RNAseq analysis journey, we’ll be transitioning from the Linux environment to R, a powerful and versatile statistical analysis tool. R is not only a programming language but also a platform widely used in data science, statistical computing, and predictive modeling. Tech giants like Microsoft, Meta, Google, Amazon,…
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Recent Posts
- How To Analyze ChIP-seq Data For Absolute Beginners Part 2: Visualizing ChIP-seq Data
- How To Analyze ChIP-seq Data For Absolute Beginners Part 1: From FASTQ To Peaks With HOMER
- HPC Data Management for NGS Analysis: Storage, Transfer, and Sharing Best Practices
- High Performance Computing (HPC) Job Submission Systems: A Beginner’s Guide to Slurm
Tags
Alternative Splicing Analysis Cancer ChIP-seq deepTools DESeq2 Differential Expression edgeR FPKM Fusion Gene Detection gene expression HPC Isoform limma microRNA miRNA miRNA-seq Normalization peak visualization profile plot Quantification RNAseq analysis Salmon smRNA smRNA-seq TPM Transcript UMI Virus Virus-Host Virus Gene Expression