Advanced Genomic Analysis
( 25 Modules )

Module #1
Introduction to Advanced Genomic Analysis
Overview of the course, importance of genomic analysis, and advanced concepts in genomics

Module #2
Next-Generation Sequencing (NGS) Technologies
Introduction to NGS platforms, library preparation, and data generation

Module #3
Genomic Data Quality Control and Preprocessing
Assessing data quality, trimming, filtering, and preprocessing of NGS data

Module #4
Genome Assembly and Annotation
De novo assembly, reference-based assembly, and annotation of genomes

Module #5
Variant Detection and Genotyping
Identifying SNPs, indels, and structural variants, and genotyping

Module #6
Functional Annotation of Genomic Variants
Predicting functional impact of variants using computational tools and databases

Module #7
Gene Expression Analysis
Introduction to RNA-seq, differential expression, and gene expression analysis

Module #8
Differential Gene Expression Analysis
Using DESeq2, edgeR, and limma for differential gene expression analysis

Module #9
Functional Enrichment Analysis
Pathway analysis, gene ontology, and functional enrichment using tools like DAVID and Reactome

Module #10
ChIP-Seq Data Analysis
Peak calling, motif analysis, and functional interpretation of ChIP-seq data

Module #11
Epigenomics and Epigenetic Regulation
Introduction to epigenomics, DNA methylation, and histone modifications

Module #12
Cancer Genomics and Genome Instability
Genomic alterations in cancer, copy number variation, and genome instability

Module #13
Genomic Structural Variation and SV Detection
Detection and analysis of structural variations using tools like SVtyper and Manta

Module #14
Statistical Methods for Genomic Analysis
Hypothesis testing, confidence intervals, and regression analysis in genomic studies

Module #15
Machine Learning in Genomic Analysis
Supervised and unsupervised machine learning methods for genomic data analysis

Module #16
Cloud Computing and High-Performance Computing for Genomics
Using cloud platforms like AWS and GCP, and HPC for large-scale genomic analysis

Module #17
Genomic Data Visualization and Interpretation
Visualizing genomic data using tools like Circos, IGV, and UCSC Genome Browser

Module #18
Genomic Workflow Management and Pipelining
Using Snakemake, Nextflow, and Apache Airflow for workflow management and pipelining

Module #19
Ethical, Legal, and Social Implications of Genomic Analysis
Ethical considerations, informed consent, and regulatory framework for genomic analysis

Module #20
Case Studies in Advanced Genomic Analysis
Real-world examples of advanced genomic analysis in disease diagnosis and treatment

Module #21
Single-Cell Genomics and Spatial Genomics
Analysis of single-cell RNA-seq and spatial genomics data

Module #22
Microbiome Analysis and Metagenomics
Analysis of microbiome data, metagenomics, and functional potential of microbial communities

Module #23
Immunogenomics and HLA Typing
Analysis of immunogenomic data, HLA typing, and immune response prediction

Module #24
Precision Medicine and Personalized Genomics
Using genomic analysis for precision medicine and personalized genomics

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Advanced Genomic Analysis career

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Advanced Genomic Analysis ( 25 Modules )

Advanced Genomic Analysis
( 25 Modules )