Komputasi Genomik (Q)
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Course Description
Week #1: Introduction to Computational Genomic
Introduction to Computational Genomic
Week #2: DNA Central Dogma
DNA Central Dogma
Week #3: Sequence Statistics
Sequence Statistics
Week #4: Pseudogenes
Week #5: GC Contents
Week #6: Hidden MArkov Model
Hidden MArkov Model
HMM Program Example
BW Training Algorithm
HMM.java
HMM Source Code
Week #9: Open Reading Frame Finder, Change Point Analysis
Open Reading Frame Finder
Week #12: Technical Skill Development 2
ORF Discussion
Finding DNA with HMM
New solutions for gene finding
Hidden Markov Models and their Applications in Biological Sequence Analysis
A hidden Markov model that finds genes in E.coli DNA
Week #13: Technical Skill Development 3
Week #14: Sequence Alignment
: Sequence Alignment
sequence alignment methods open source
Sequence Alignment Program Example
Week #16: Final Project
DEMO
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Komputasi Genomik (Q)
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Institut Teknologi Sepuluh Nopember
Sarjana
Fakultas Teknologi Elektro dan Informatika Cerdas
S-1 TEKNIK BIOMEDIK
Semester Genap 2023/2024
Komputasi Genomik (Q)
Summary
Komputasi Genomik (Q)
Teacher:
Achmad Arifin
Teacher:
Mohammad Nuh
Teacher:
Muhammad Adib Syamlan