5 Fat Loss Keys

(BIOL4030/BIOL5030, 3 credits, every Fall Smemster)

Course Description:
    The course introduces students to core concepts in genomics research and the computational methods used to analyze big data resources. The topics of this course include overviews of genome projects, genomic architecture, sequence and structural variations,sequencing and data analysis, fundamental bioinformatic and phylogenetic analyses, comparative genomic studies,and all other omics studies (transcriptome, proteome, epigenome and metagenome).

(BIOL5780, 3 credits, Spring 2018-2019)

Course Description:
    This course is designed to introduce the theory, algorithms and practice of molecular phylogenetic analysis, as well as its applications in fields such as systematics, comparative biology, and molecular evolution.  The course emphasizes a hands-on approach to molecular phylogenetics and combines lecture presentations with computer exercises and discussion of original scientific literature. Computer-based labs will give students the opportunity to implement these methods using a variety of phylogenetic software.

(BIOL3030, 3 credits, Spring 2020, 2021)

Course Description:
    This course covers the basic principles of genetics, including molecular genetics, transmission genetics, genomics, gene regulation, recombinant DNA technology and population genetics. Throughout the course, there is an emphasis on the application of genetics to experimental and problem-solving situations.

(BCB5200/BCB5250, 3 credits, Fall 2015-2016, Spring 2015-2016)

Course Description:
    Introduction to Bioinformatics I and II are designed to introduce senior/graduate students to the fundamental concepts, methods, and research topics in Bioinformatics for analyzing biological and health data. Introduction to Bioinformatics I course will cover introduction of Bioinformatics, introduction of computer skills for Bioinformatics, Bioinformatics database, sequence alignment, phylogenetic analysis, gene expression analysis, protein analysis, modeling and simulation of biological pathways, and systems biology. Introduction to Bioinformatics II will intensely cover omics (genomics, transcriptomics, and metagenomics) research topics especially including genome assembly, RNA-Seq analysis, and genome identification and annotation of metagenomic samples. In the Introduction to Bioinformatics II course, students will be divided into groups and work on their selected projects. Exciting cutting-edge research topics in Bioinformatics will be proposed to students.


5 Fat Loss Keys

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