Gene Analysis and Functional Genomics

Course Detail

Degree: Master
Standard Academic Year: 1
Course delivery methods: Online (Asynchronous)
Subject: Subjects allied to medicine, Biological sciences, Physical sciences
Program
School: Master's Program in Life Science Innovation
Department: Master's Program in Life Science Innovation
Campus: Tsukuba Campus
Classroom
Course Offering Year: 2023-2024
Course Offering Month: October - December
Weekday and Period: Intensive
Capacity
Credits: 1.0
Language: English
Course Number: 0AXA803

Gene Analysis and Functional Genomics University of Tsukuba

Course Overview

This course is focused to train students on processing and analysis of genomic sequences, gene expression data and protein interaction studies.

Learning Achievement

Upon completion of this course, students will be able to study molecular biology through data analysis techniques and can work on
1. Omics datasets
2. Handling genome sequencing projects and perform Genome assembly, annotation and gene prediction studies
3. Decipher gene regulatory mechanisms through transcriptomic and pathway data analysis.

Competence

Expertise, English language proficiency

Course prerequisites

Grading Philosophy

The students will be evaluated by report submissions (Assignment submission).
Note that grades (A+, A, B, C and D) are to be determined based on the score (> 90% : A+, 75-90%:A,60-80%:B,50-60%:C,<50%:D).

Course schedule

Introduction to Genomics Science and high-throughput DNA sequencing
Computational methods in whole genome sequencing
Computational methods in transcriptome
Computational methods in epigenome
High performance and reproducible computing for genome science
Introduction to Functional Genomics: from genotype to phenotype
Computational methods to integrate multi-omic data
Computational methods in high-throughput functional screens
Networks analysis methods in genomics and functional genomics
Data science and reproducible biomarker research

Course Detail