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  • How to Analyze RNAseq Data for Absolute Beginners Part 6: A Comprehensive Guide for Cancer Subtype Prediction
    bulk RNA-seq Transcriptomics

    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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    Lei

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    November 3, 2024
  • How to Analyze RNAseq Data for Absolute Beginners Part 5: From DEGs to Pathways – Best Practices
    bulk RNA-seq Transcriptomics

    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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    Lei

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    October 26, 2024
  • How to Analyze RNAseq Data for Absolute Beginners Part 4: A Complete Guide to Creating Publication-Ready Figures
    bulk RNA-seq Transcriptomics

    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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    Lei

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    October 22, 2024
  • How to Analyze RNAseq Data for Absolute Beginners Part 3: From Count Table to DEGs – Best Practices
    bulk RNA-seq Transcriptomics

    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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    Lei

    //

    October 19, 2024
  • How to Analyze RNAseq Data for Absolute Beginners Part 2: From Fastq to Counts – Best Practices
    bulk RNA-seq Transcriptomics

    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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    Lei

    //

    October 19, 2024
  • How to analyze RNAseq Data for Absolute Beginners Part 1: Environment setup
    bulk RNA-seq Transcriptomics

    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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    Lei

    //

    October 17, 2024
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Categories


  • bulk RNA-seq (20)
  • chromatin accessibility (10)
  • Database (2)
  • Epigenetics (10)
  • HPC (3)
  • Metagenomics (1)
  • Scientific Programming (3)
  • Transcriptomics (21)

Recent Posts


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    How To Analyze ATAC-seq Data For Absolute Beginners Part 4: ATAC-seq and RNA-seq IntegrationMay 17, 2025

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Adapter Trimming Alternative Splicing Analysis ATAC-seq BAM ChIP-seq chromatin accessibility Conda Environment Setting Count DESeq2 Differential Expression edgeR FASTQ gene expression Gene Expression Quantification HOMER HPC Isoform limma MACS2 miRNA miRNA-seq Normalization PCA peak calling R Reads Mapping RNAseq analysis RNAseq analysis for beginners RStudio Transcript

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