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Applied Bioinformatics BIOL441 Fall 2023 (4 credit)
Applied Bioinformatics Fall 23 (2 students) *Graduate Class (Masters & Ph.D. Level): 

January  9 2023

This is the class content for BIOL441. The Github link is Here

Bioinformatics: 

https://youtu.be/G6Xh9QJQrjA

https://youtu.be/UlU8GlZP7GU

https://youtu.be/YVMVhcDCMY8

https://youtu.be/OTGJ4355zCQ

https://youtu.be/EYZgSvCS858

https://youtu.be/kGaQ2mG4-9g

https://youtu.be/kIxlNUeG-38

https://youtu.be/bmWCnSMhUDk

https://youtu.be/7UOA1hC2V5k

Phylogenetic Analysis: https://youtu.be/IMIP4la-K84

https://youtu.be/UEsXMfE_7Rg

Github: https://github.com/spawar2/BTEC-620-Spring-2023

Bioinformatics (topics including sequence alignment algorithms, scoring matrices, microarray analysisphylogenetic analysisbootstrapping, tree building, secondary & tertiary structure prediction, homology modeling, and protein folding)], visualization: heat maps, volcano plots, pie charts, Blast, Sequence alignments (Margaret Dayhoff, PAM, blossom scoring matrices, global & local alignment).Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis.

Sequence alignments (Margaret Dayhoff, PAM, Blossom scoring matrices, global & local alignment): https://youtu.be/Lx1jkr3UKwA

https://campuspress.yale.edu/shrikantpawar/files/2024/05/Student-Evaluations-2021-2024-3df60a3eaf357f31.pdf

Doing Homework

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WorldS4 2023

WorldS4 2023

08:15
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Madhuhas-Stanford-Testimonial

Madhuhas-Stanford-Testimonial

02:27
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K-Fold Semi-Supervised-Video

K-Fold Semi-Supervised-Video

03:43
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Student Testimonial - Anika Agrawal

Student Testimonial - Anika Agrawal

02:04
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FINAL POWERPOINT

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