Author: Lei
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How to Analyze RNAseq Data for Absolute Beginners Part 6: A Comprehensive Guide for Cancer Subtype Prediction
Meta Description: Learn how to predict cancer subtypes using RNA-seq data through practical implementations of PAM50, genefu, and GSVA methods. Perfect for bioinformaticians and computational biologists working with gene expression data. Video Tutorial Introduction Cancer subtype prediction from RNA-seq data is crucial for personalized medicine and treatment optimization. This tutorial, part 6 in our RNA-seq…
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How to Analyze RNAseq Data for Absolute Beginners Part 5: From DEGs to Pathways – Best Practices
Video Tutorial Introduction After completing the data preparation, statistical testing, and visualization steps, we’re finally ready to explore the biological significance of our RNA sequencing data. As biologists, this is the moment we’ve been waiting for – but how do we make sense of the hundreds or thousands of differentially expressed genes (DEGs) we’ve identified?…
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How to Analyze RNAseq Data for Absolute Beginners Part 4: A Complete Guide to Creating Publication-Ready Figures
Video Tutorial Introduction After identifying differentially expressed genes (DEGs), the next crucial step is visualizing your results effectively. Strong visualizations don’t just make your data look pretty – they transform complex genomic information into clear, interpretable insights that can reveal hidden patterns and biological stories within your data. In this tutorial, you’ll learn how to…
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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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How to Analyze RNAseq Data for Absolute Beginners Part 2: From Fastq to Counts – Best Practices
Video Tutorial 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:…
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How to analyze RNAseq Data for Absolute Beginners Part 1: Environment setup
Video Tutorial Introduction RNA sequencing (RNAseq) has revolutionized the field of transcriptomics, offering unprecedented insights into gene expression patterns across entire genomes. This powerful technique allows researchers to quantify RNA levels, discover novel transcripts, and identify differentially expressed genes under various conditions. Whether you’re studying cancer progression, developmental biology, or environmental responses in organisms, RNAseq…
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Recent Posts
- How to Analyze RNAseq Data for Absolute Beginners Part 15-2: Mastering UMI-Based miRNA-Seq Analysis
- How to Analyze RNAseq Data for Absolute Beginners Part 15: A Complete Guide to miRNA-seq Analysis
- How to Analyze RNAseq Data for Absolute Beginners Part 14: Mastering Small RNA-Seq Analysis
- How to Analyze RNAseq Data for Absolute Beginners Part 13: Circular RNAseq Analysis
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Alternative Splicing Analysis breast cancer classification cancer subtypes cell-type composition CIBERSORTx circRNA-seq circular RNA dotplot Enrichment FASTQ gene expression GSEA immune cell profiling Isoform microRNA miRNA miRNA-seq molecular subtypes MSigDB NCBI GEO PAM50 PCA RNA-seq analysis RNA Editing RNAseq analysis for beginners small RNA smRNA smRNA-seq Transcript UMI