CBI
Duration
Kickstart your bioinformatics journey by understanding core concepts, tools, and databases essential for biological data analysis.
What You Will Learn
- Fundamentals of bioinformatics and its applications.
- Introduction to Linux and command-line tools.
- Exploring biological databases (NCBI, Ensembl, UniProt).
- Retrieving and analyzing sequence data.
Tools Covered
- Linux/Unix
- NCBI, Ensembl, UniProt
- BLAST, FASTA
Duration
4 weeks
Develop Python programming skills to analyze and visualize biological data effectively.
What You Will Learn
- Basics of Python programming.
- Handling biological data with Python.
- Utilizing the BioPython library for sequence analysis.
- Data visualization and statistical techniques.
Tools Covered
- Python
- BioPython
- pandas, NumPy
- Matplotlib, Seaborn
Duration
4 weeks
Gain expertise in R programming for bioinformatics applications, including data analysis and machine learning.
What You Will Learn
- Introduction to R programming for bioinformatics.
- Managing and analyzing biological datasets.
- Data visualization with ggplot2.
- Applying statistical analysis and machine learning.
Tools Covered
- R
- ggplot2
- Bioconductor
- DESeq2, edgeR
Duration
4 weeks
Learn genomics techniques and master next-generation sequencing (NGS) data analysis.
What You Will Learn
- Understanding NGS technology and workflows.
- Quality control of sequencing data (FASTQC, Trimmomatic).
- Read alignment using (BWA, Bowtie2).
- Variant calling and annotation (GATK, SnpEff).
- Genome assembly and annotation techniques.
Tools Covered
- FASTQC, Trimmomatic
- BWA, Bowtie2
- GATK, SnpEff
- SAMtools, BEDtools
Duration
4 weeks
Explore protein structure prediction, molecular docking, and pathway analysis for functional insights.
What You Will Learn
- Protein structure prediction and modeling.
- Molecular docking and drug discovery applications.
- Functional annotation and pathway mapping.
- Systems biology and integrative analysis.
Tools Covered
- PyMOL, Chimera
- AutoDock, HADDOCK
- KEGG, Reactome
- STRING, Cytoscape
Duration
4 weeks
Delve into advanced omics studies, including transcriptomics, metagenomics, and epigenomics.
What You Will Learn
- RNA-seq data analysis and expression profiling.
- Microbiome analysis and metagenomics techniques.
- Epigenomics and gene regulation insights.
- Integrative multi-omics analysis.
Tools Covered
- HISAT2, STAR
- featureCounts, HTSeq
- QIIME, MetaPhlAn
- ChIPseeker, DiffBind
Duration
4 weeks
Apply your knowledge to a real-world bioinformatics project and prepare for industry applications.
What You Will Learn
- Hands-on capstone project using real biological datasets.
- Workflow automation and large-scale data handling.
- Presenting bioinformatics findings effectively.
- Career guidance and industry trends in bioinformatics.