Bioinformatics: Theory and Python Programming
What you'll learn
- Genome Visualization
- Genomic Data Formats
- Bioinformatics-related Python Scripts
- Basic Python
In the Course, you will get through the fundamentals of Genetics up to the Bioinformatics methods and tools (both GUI and Python-based tools) with my modest guidance.
The Course consists of 4 chapters.
In the very beginning, we are about to discuss Fundamentals of Genetics, Central Dogma of Molecular Biology, Nucleotide Sequences as Code, Codons, Proteins and Functional Sequence Elements present in the Genome, in Chapter 1.
Then, in Chapter 2, you will be introduced to Bioinformatics, its goals and different approaches taken by various scientists. You will clearly see the difference between these approaches and take them into account planning your own workflow later. Remember, you are always free to pick your own best combination of tools, using knowledge accumulated.
In Chapter 3, you will learn what data formatting types are present in the bioinformatics field and how they look like, especially the FASTA and PHYLIP formats. You’ll also learn how to work with web-based GUI software and perform conversion between the formats given, and also how to perform BLAST analysis.
In Chapter 4, you will get into Bioinformatics with Biopython and other tools. You will get to understand how to use command-line tools and BioPython library in order to perform BLAST analysis with different settings, create genome visualization with GenomeDiagram library using Genbank formatted genomic data. To put it short, you will be able to simply make your work more controllable and sophisticated in terms of specificity.
So, at the end of this course, you will understand what Bioinformatics is, what it is based on and how to organise your workflow understanding the basics of data in this field. You will also get skills of performing sequence formats’ conversions and BLAST analysis, writing python scripts and working in command-line software.
Welcome to the course!
Who this course is for:
- natural sciences students
- beginner python developers
Eager to make knowledge and science shape the present and the future.
Biologist heavily interested in Programming.
Studied Biology and Genetics at Vytautas Magnus University, Biology, and Ecology, Curative Affair.
Developed a Thesis on the Study of Single Nucleotide Polymorphisms in the CYP2D6 gene among Asian populations.
SUR-PLACE scholarship fellow,
FameLab Kazakhstan 2019 2nd Place Winner.
Participated in research work on Tick-borne Encephalitis Virus prevalence determination and Flavonoids research via High-Performance Liquid Chromatography at Vytautas Magnus University, Kaunas, Lithuania.
Successfully received 2 Specializations (Python for Everybody by Michigan University and Programming with Google Go by University of California, Irvine), along with C language courses by the University of California, Santa Cruz.
Happy to share the knowledge and skills I have!