NOBLEKINMAT BIOINFORMATICS DIPLOMA program is a 60-day online school that teaches skills,

analyses and software used in different areas of Bioinformatics research, such as Genomics, Transcriptomics, and Proteomics.

The 60-day program is scheduled for classes, seminars, and project presentations.
Mondays to Fridays
Videos inside Selar
Bioinformatics tools and Software installation guide
Direct access to tutors to answer relevant questions
Bioinformatics Freelancing Tutorial
Project presentation before graduation
Certificate after presentation
Mentoring and Discussion sessions
Everything is recorded.
You never miss anything.

Course Logistics:

The course will run for approximately 2 months with a minimum of 3 days, (1hr30min - 3hr30 min/day) of contact time per week.

A virtual blended distance learning model is used for this course. Live classes and trainers’ pre-recorded lectures would be shared on the course platform.

Journal clubs and discussion sessions for assignments and projects would be decided in class.

Participants would submit assignments as at when due to the links provided for such.

At the end of the course, participants would carry out a seminar and conduct a project and would submit such for grading.

Certificate of completion would be presented at the graduation session.

Course Curriculum:

The course curriculum will cover the following main themes

(subject to slight changes):

Foundation/ Core Modules:

Introductory Lecture
Molecular Biology
Molecular Biotechnology
Molecular Biochemistry
Introduction to Bioinformatics
Basic sequence alignment and phylogenetics
Genome assembly
Protein structure prediction
Genes, Genome Structure and Function
Genomics
Transcriptomics
Proteomics
Bioinformatics in Drug discovery and Precision medicine
Ethical, legal and social issues in Bioinformatics
Microbiome research
Programming and machine learning in Bioinformatics
Research ethics and writing
Seminar and Project presentation

Track Modules:

Module 1: Molecular Biology and Introduction to Bioinformatics

-Structure and role of DNA. Structure and role of RNA

- Gene regulation, DNA replication, genetic transformation and recombinant DNA technology

- Biological systems at the molecular level

- Evolution of genomes.

- Overview of bioinformatics and its applications in biological research

Module 2: Molecular Biology and Introduction to Bioinformatics

- Basics of sequence analysis

-Applications of Bioinformatics

- Biological macromolecular structures and structure prediction methods.

-Introduction of various software used in biotechnology research and development.

Module 3: Biological Databases and Tools

- Introduction to major biological databases and data types (e.g. NCBI, UniProt, PDB etc)

- Introduction and navigation of the NCBI, Sequence retrieval from genomic databases.

- Sequence BLAST analysis

- Open reading frames in DNA sequences.

- Designing and construction of specific primers using PrimerBank and other softwares

- Hands-on exercises on database searching and sequence analysis

Module 4: Sequence Alignment and Phylogenetics

- Introduction to sequence alignment algorithms and techniques

- Pairwise sequence alignment (e.g., Needleman-Wunsch, Smith-Waterman)

- Multiple sequence alignment (e.g., ClustalW, MAFFT)

- Introduction to phylogenetic analysis and construction of phylogenetic trees

- Hands-on exercises on sequence alignment and phylogenetic analysis

Module 5: Genome Analysis and Next-Generation Sequencing (NGS)

- Introduction to genomics and genome sequencing technologies

- Genome assembly and annotation

- Comparative genomics and genome evolution

- Introduction to NGS data analysis pipelines and tools

- Hands-on exercises on genome analysis and NGS data processing

Module 6: Programming and machine learning in Bioinformatics 1

- Introduction to Python for Bioinformatics

- Introduction to R for Bioinformatics

- Introduction to Linux for Bioinformatics

- Hands-on exercises for programming for Bioinformatics

Module 7: Structural Bioinformatics

- Introduction to protein structure and modeling

- Protein structure prediction methods (homology modeling, ab initio prediction)

- Protein structure databases and resources (e.g., PDB, CATH, SCOP)

- Protein-ligand interactions and drug discovery

- Protein modeling (e.g. Swiss-model, RaptorX, AUTODOCK, etc.)

- Hands-on exercises on protein structure prediction and analysis

Module 8: Transcriptomics and Gene Expression Analysis

- Introduction to transcriptomics and gene expression profiling

- RNA-seq data analysis and differential gene expression analysis

- Functional enrichment analysis and pathway analysis

- Introduction to gene regulatory networks and network analysis

- Hands-on exercises on transcriptomics data analysis

Module 9: Proteomics and Protein Function Analysis

- Introduction to proteomics and protein identification methods

- Protein function prediction and annotation

- Protein-protein interaction networks and analysis

- Hands-on exercises on proteomics data analysis

Module 10: Bioinformatics in Drug Discovery and Precision Medicine

- Bioinformatics approaches in drug discovery and target identification

- Pharmacogenomics and personalized medicine

- Computational drug design and virtual screening

- Bioinformatics challenges in precision medicine

- Hands-on exercises on drug discovery and precision medicine applications

Module 11: Microbiome research

-Applications of Microbiome research in medicine, agriculture, life sciences, environmental sciences

-Introduction to Microbiome analysis

-Hands-on experience on microbiome analysis

Module 12: Programming and machine learning in Bioinformatics 2

- Introduction to Galaxy for Bioinformatics

- Introduction to Machine learning for Bioinformatics

- Hands-on exercises for programming for Bioinformatics

Module 13: Research ethics and writing

- Introduction to research ethics and writing

- Research ethics

- Research writing

- Journal club

Module 14: Seminar and project presentation

- Seminar presentation

- Project presentaion

BIOINFORMATICS DIPLOMA COURSE (Cohort)

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