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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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