Thread explaining a complete pipeline for #RNA-seq analysis 🧵
RNA-seq is a powerful technique that allows researchers to study the expression of genes at a global level. The RNA-seq analysis pipeline typically involves several different steps, including:
1. Quality control and filtering of the raw RNA-seq data
2. Alignment of the reads to the reference genome
3. Assembly of the aligned reads into transcripts
4. Quantification of gene and transcript expression levels
2. Alignment of the reads to the reference genome
3. Assembly of the aligned reads into transcripts
4. Quantification of gene and transcript expression levels
5. Differential expression analysis to identify genes that are differentially expressed between different conditions or samples
6. Functional annotation of the differentially expressed genes to understand their biological roles and pathways
7. Visualization and interpretation of the results
Many different tools and software are available for each step of the RNA-seq analysis pipeline, and the specific choices will depend on the specific data and research goals.
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