Bioinformatics is the application of computational techniques to analyze and interpret biological data. It connects biology with computer science. Some key applications of bioinformatics include genomics, proteomics, structural biology, pharmacogenomics, and comparative genomics. Popular databases used in bioinformatics are NCBI, BLAST, Swiss-Model, UniProt, KEGG, and Cytoscape. Free online courses are available from Coursera and popular journals include Bioinformatics, Journal of the American Medical Informatics Association, and PLoS Computational Biology.

1. Introduction to Bioinformatics

2. 2023 Nobel prize in
Medicine and
Physiology
Drew Weismann
“for their discoveries concerning nucleoside
base modifications that enabled the
development of effective mRNA vaccines
against COVID-19”

3. What is Bioinformatics?
Bioinformatics is the application of
computational techniques to manage,
analyze, and interpret biological data. It's
the bridge that connects biology with the
power of computer science.

4. Basics: Cell structure

5. DNA Replication

6. RNA Synthesis

7. Protein Synthesis

8. Applications of Bioinformatics
Description
Application
Study of genomes, including sequencing, annotation,
and comparative analysis of DNA sequences.
Genomics
Analysis of the structure, function, and interactions of
proteins within a biological system.
Proteomics
Determining and understanding the three-
dimensional structures of biological macromolecules.
Structural Biology
Personalized medicine based on an individual's
genetic makeup to optimize drug treatments.
Pharmacogenomics
Comparing the genomic content and structure across
different species.
Comparative Genomics
Analyzing genetic material directly from
environmental samples to study microbial
communities.
Metagenomics

9. Useful databases in Bioinformatics
• 1. The National Center for Biotechnology Information (NCBI)
• https://www.ncbi.nlm.nih.gov/

10. BLAST: Basic Local Alignment Search Tool
• https://blast.ncbi.nlm.nih.gov/Blast.cgi

11. SWISS-MODEL
• https://swissmodel.expasy.org/

12. UniProt
• https://www.uniprot.org/

13. KEGG: Kyoto
Encyclopedia of Genes
and Genomes
https://www.genome.jp/kegg/

14. Cytoscape
https://cytoscape.org/

15. Popular free courses in Bioinformatics
• Bioinformatics – UCSD – Coursera
• Link: https://www.coursera.org/specializations/bioinformatics
• Genomic data science – Johns Hopkins University – Coursera
• Link: https://www.coursera.org/specializations/genomic-data-science

16. Popular Journals in Bioinformatics
• Bioinformatics - https://academic.oup.com/bioinformatics
• Journal of the American Medical Informatics Association -
https://academic.oup.com/jamia
• Journal of mathematical biology -
https://www.springer.com/journal/285
• PLoS Computational Biology - https://journals.plos.org/ploscompbiol/

17. Conclusion
• Bioinformatics is a dynamic field that revolutionizes the way we
explore and understand the complexities of life. From unraveling the
mysteries of our genetic code to driving innovations in medicine,
bioinformatics continues to be a driving force in biological research.