Module #1 Introduction to Bioinformatics and Genomic Data Analysis Overview of bioinformatics, genomic data analysis, and the importance of bioinformatics tools
Module #2 Genomic Data Types and File Formats Introduction to different types of genomic data (e.g. DNA, RNA, protein) and file formats (e.g. FASTA, FASTQ, SAM)
Module #3 Sequence Alignment and Mapping Introduction to sequence alignment and mapping algorithms (e.g. BLAST, BWA, Bowtie)
Module #4 Genomic Data Preprocessing and Quality Control Introduction to preprocessing and quality control steps for genomic data (e.g. trimming, filtering, error correction)
Module #5 Introduction to Command-Line Interface (CLI) and Unix Shell Basic CLI commands and Unix shell skills for bioinformatics analysis
Module #6 Genome Assembly and Annotation Introduction to genome assembly and annotation tools (e.g. SPAdes,Canu, Prokka)
Module #7 Variant Detection and Genotyping Introduction to variant detection and genotyping tools (e.g. SAMtools, BCFtools, GATK)
Module #8 Visualization of Genomic Data Introduction to visualization tools for genomic data (e.g. Circos, UCSC Genome Browser, IGV)
Module #9 RNA-Seq Data Analysis Introduction to RNA-Seq data analysis tools (e.g. STAR, HISAT2, Cufflinks)
Module #10 ChIP-Seq Data Analysis Introduction to ChIP-Seq data analysis tools (e.g. MACS, PeakRanger, SPP)
Module #11 Functional Genomics and Pathway Analysis Introduction to functional genomics and pathway analysis tools (e.g. Gene Ontology, KEGG, Ingenuity Pathway Analysis)
Module #12 Genomic Data Integration and Systems Biology Introduction to genomic data integration and systems biology approaches (e.g. network analysis, integrative genomics)
Module #13 Machine Learning and Predictive Modeling in Bioinformatics Introduction to machine learning and predictive modeling in bioinformatics (e.g. scikit-learn, TensorFlow)
Module #14 Cloud Computing and High-Performance Computing for Bioinformatics Introduction to cloud computing and high-performance computing for bioinformatics (e.g. AWS, GCP, Slurm)
Module #15 Data Management and Storage for Genomic Data Introduction to data management and storage solutions for genomic data (e.g. databases, file systems)
Module #16 Ethics and Regulatory Considerations in Bioinformatics Introduction to ethics and regulatory considerations in bioinformatics (e.g. data privacy, informed consent)
Module #17 Collaborative Research and Reproducibility in Bioinformatics Introduction to collaborative research and reproducibility in bioinformatics (e.g. version control, open-source software)
Module #18 Real-World Applications of Bioinformatics Tools Case studies of real-world applications of bioinformatics tools in research and industry
Module #19 Advanced Topics in Bioinformatics Advanced topics in bioinformatics, including single-cell genomics and machine learning for genomics
Module #20 Project Development and Proposal Writing in Bioinformatics Guidance on developing projects and writing proposals in bioinformatics
Module #21 Computational Resources for Bioinformatics Overview of computational resources for bioinformatics, including software, databases, and online platforms
Module #22 Bioinformatics in the Clinic:Translational Research Introduction to bioinformatics in the clinic, including translational research and personalized medicine
Module #23 Bioinformatics for Synthetic Biology Introduction to bioinformatics for synthetic biology, including design and construction of biological systems
Module #24 Emerging Trends in Bioinformatics Overview of emerging trends in bioinformatics, including blockchain, AI, and nanotechnology
Module #25 Course Wrap-Up & Conclusion Planning next steps in Bioinformatics Tools for Genomic Data Analysis career