Welcome to the BESE394 Bioinformatics Pipelines repository! Here, you'll find comprehensive materials covering a variety of bioinformatics topics essential for understanding and utilizing pipelines in biological data analysis. Dive into the following areas:
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RNA-seq: Explore transcriptome analysis pipelines, including alignment, quantification, and differential expression analysis.
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Single-cell: Delve into the complexities of single-cell sequencing data analysis, covering preprocessing, clustering, and cell type identification techniques.
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ATAC-seq: Discover pipelines for analyzing ATAC-seq data, including peak calling, differential accessibility analysis, and motif enrichment.
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Multiome: Explore integrated analysis pipelines for multiomics data, combining genomics, transcriptomics, and epigenomics.
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Integration: Learn methods and tools for integrating diverse omics datasets, enabling comprehensive analysis and interpretation.
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DNA Methylation: Investigate pipelines for analyzing DNA methylation data, including preprocessing, differential methylation analysis, and functional enrichment.
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Spatial: Explore spatial transcriptomics analysis pipelines, including image processing and spatial gene expression profiling.
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Clone the Repository: git clone https://github.com/Alsultfh/BESE394-Bioinfo_Pipelines.git
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Explore: Each directory contains resources on a specific topic, including lectures, assignments, and projects, to help you deepen your understanding.
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Contribute: We welcome contributions! Fork the repository, make changes, and submit pull requests to enhance the learning experience for everyone.
- Email: [email protected]
Happy learning and exploring the fascinating world of bioinformatics pipelines! 🌟🧬