Comprehensive Bioinformatics Training Program

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Outcome: Participants will gain hands-on experience in bioinformatics, covering genomics, sequence analysis, and computational biology.

Total Duration: 6 months (24 weeks)

Weekly Commitment: ~6 hours per week

What You will Learn

Module 1: Introduction to Bioinformatics (4 weeks)

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

Module 2: Programming for Bioinformatics - Python (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

Module 3: Programming for Bioinformatics - R (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

Module 4: Genomics and Next-Generation Sequencing (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

Module 5: Structural and Functional Bioinformatics (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

Module 6: Computational Biology and Omics Analysis (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

Module 7: Capstone Project and Industry Readiness (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.

Who Should Enroll

Beginners to intermediate learners in bioinformatics, biology, and data science.

Course Instructor

Dr. Neelima Chitturi

Dr. Neelima Chitturi is a distinguished bioinformatics expert with over 15 years of experience in transcriptomics, genomics, and computational biology. A Ph.D. holder from IIIT-Hyderabad and IBAB-Bangalore, she specializes in identifying genetic variants, analyzing microbiome data, and developing bioinformatics pipelines. As the founder of Bruhaspathi Institute of Biosciences (BIB), she is passionate about simplifying complex bioinformatics concepts and empowering students with practical, real-world skills. Her expertise spans clinical diagnostics, pharmacogenomics, and cancer genomics, making her a sought-after educator and researcher in the field.

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What You will Learn

Who Should Enroll

Course Instructor

Dr. Neelima Chitturi

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