Best Bioinformatics course for Students, Academia and Industry Professionals to learn Bioinformatics and biological data
InstructorNaeem Mahmood Ashraf
Free
Free
Free
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This course outline slide details the curriculum structure, highlighting five core modules covering database design, sequence alignment, and various branches of bioinformatics.
This slide outlines key bioinformatics skills students will acquire, including exploring biological databases, analyzing DNA sequences, predicting protein structures, and understanding evolutionary relationships.
This visual summary illustrates key bioinformatics concepts including evolutionary trees, sequence alignments, database resources like NCBI, and molecular structures.
This slide clarifies that the material is introductory, suggesting that experts should instead pursue advanced courses in MD simulation, Drug Discovery, or Machine learning.
The curriculum covers essential structural bioinformatics tasks, including homology modeling with Mdeller, threading via I-TASSER, and protein visualization using Pymol and Chimera.
Instruction includes practical applications of contemporary structure prediction tools such as AlphaFold 2 and AlphaFold 3.
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The curriculum aligns with the stated goals for beginners in biological and data sciences.