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How to Analyze RNAseq Data for Absolute Beginners Part 15-2: Mastering UMI-Based miRNA-Seq Analysis
Understanding UMI-Based miRNA Sequencing MicroRNAs (miRNAs) serve as crucial regulators in gene expression, making their accurate quantification essential for understanding disease mechanisms and biological processes. While traditional miRNA sequencing has proven valuable, the integration of Unique Molecular Identifiers (UMIs) represents a significant advancement in achieving precise miRNA measurements. This tutorial will guide you through the…
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How to Analyze RNAseq Data for Absolute Beginners Part 15: A Complete Guide to miRNA-seq Analysis
Understanding the World of microRNAs The fascinating world of microRNAs (miRNAs) represents one of molecular biology’s most elegant regulatory systems. These tiny RNA molecules, spanning just 20-24 nucleotides, function as precise genetic regulators by binding to messenger RNAs (mRNAs) and fine-tuning their expression. Since their serendipitous discovery in the early 1990s, miRNAs have revolutionized our…
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How to Analyze RNAseq Data for Absolute Beginners Part 14: Mastering Small RNA-Seq Analysis
The Hidden World of Small RNAs: More Than Just Tiny Molecules Small RNAs are fascinating molecules that challenge the traditional “DNA to RNA to protein” dogma of molecular biology. Despite being just 20-30 nucleotides in length – barely a fraction of a typical messenger RNA – these molecules orchestrate complex biological processes with remarkable precision.…
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How to Analyze RNAseq Data for Absolute Beginners Part 13: Circular RNAseq Analysis
Understanding the Biology of Circular RNAs The Nature of Circular RNAs Circular RNAs (circRNAs) represent one of molecular biology’s most fascinating discoveries. Unlike the linear RNA molecules that dominated our understanding of gene expression for decades, circRNAs form continuous loops through a unique process called back-splicing. In this process, a downstream 5′ splice site connects…
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How to Analyze RNAseq Data for Absolute Beginners Part 12: A Step-By-Step Guide for Submitting Your NGS Data to NCBI GEO
In the world of genomics research, sharing your sequencing data isn’t just a box to check for publication – it’s a fundamental part of advancing scientific knowledge. As researchers, we spend countless hours generating and analyzing Next-Generation Sequencing (NGS) data, and making this data accessible to the broader scientific community ensures our work can have…
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How to Analyze RNAseq Data for Absolute Beginners Part 11: Mastering Transcript-Level Alternative Splicing Analysis
From Gene-Level to Transcript-Level Analysis In our previous exploration of gene-level splicing analysis, we laid the groundwork for understanding how alternative splicing shapes gene expression. Now, we’re taking a deeper dive into the fascinating world of transcript-level analysis, where we can uncover the intricate details of how genes produce different protein variants through alternative splicing.…
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How to Analyze RNAseq Data for Absolute Beginners Part 10: Isoform Analysis
If you’ve followed our previous tutorials on RNA-seq analysis, you’re already familiar with gene-level analysis. But genes are far more complex than simple on/off switches – they can produce multiple versions of RNA transcripts through fascinating processes like alternative splicing. These different versions, called isoforms, allow a single gene to create multiple protein products, dramatically…
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How to Analyze RNAseq Data for Absolute Beginners Part 9: RNA Editing Analysis
RNA editing represents one of the most fascinating mechanisms in molecular biology – a process that introduces targeted changes to RNA sequences after transcription, creating a dynamic transcriptome that diverges from the genome’s blueprint. Through this tutorial, you’ll learn how to analyze RNA editing events from RNA-seq data, uncovering these crucial modifications that fine-tune gene…
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How to Analyze RNAseq Data for Absolute Beginners Part 8: Alternative Splicing Analysis
Introduction Alternative splicing (AS) stands as one of the most fascinating mechanisms in molecular biology, allowing a single gene to produce multiple protein variants. This process dramatically expands the complexity of our proteome, enabling cells to fine-tune their protein repertoire in response to various conditions and developmental stages. Through RNA sequencing (RNA-seq), we can now…
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How to Analyze RNAseq Data for Absolute Beginners Part 7: Unlocking Cell-Type Resolution from Bulk RNA-seq Data With Deconvolution Analysis
Introduction Bulk RNA sequencing has become a cornerstone technology in molecular biology, providing comprehensive insights into gene expression patterns across tissues. However, the complexity of tissue samples, containing multiple cell types, presents unique challenges in data interpretation. This tutorial, Part 7 in our RNA-seq analysis series, focuses on deconvolution analysis – a powerful computational approach…
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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