Fall 2018

BCB 710: Tim Elston – Bioinformatics Colloquium

(Fall – Faculty and Senior Student Presentations)

 

Curriculum seminar course. Required for First 4 Semesters for BCB PhD Program*. Required for 4 Semesters for BCB Certificate Program.

1 Credit Hour
August 27-December 3
Time: Mondays 4:30-5:30 PM
Location: G030 Bondurant Hall

 

 

 

BCB 715: Tim Elston – Bioinformatics and Mathematics Modeling

 

This module provides an introduction to the basic mathematical techniques used to develop and analyze models of biochemical networks.  Both deterministic and stochastic models are discussed.

1 Credit Hour
September 25-October 25
Time: Tuesdays and Thursdays – 2:00-3:15 PM
Location: 2004 Marsico Hall

 

 

 

BCB 716:  Joel Parker and Jan Prins – Sequence Analysis

BCB Core Module. This module is designed to introduce students to concepts and methods in the comparative analysis of nucleic acid and protein sequences, including sequence alignment, homology search, phylogenetics and genome assembly.

1 Credit Hour
October 30-December 4
Time: Tuesdays and Thursdays – 2:00-3:15 PM
Location: 2004 Marsico Hall

 

 

 

 

BCB 720: Will Valdar – Introduction to Statistical Modeling

BCB Core Module. This module introduces foundational statistical concepts and models that motivate a wide range of analytic methods in bioinformatics, statistical genetics, statistical genomics, and related fields. Students are expected to know single-variable calculus (differentiation and integration in 1 dimension), be familiar with matrix algebra and have some programming experience. The course will include material on partial differentiation of multiparameter functions, and use the statistical package R extensively. Familiarity with these will be an advantage but is not assumed.

3 Credit Hours
August 21-December 4
Time: Tuesdays and Thursdays – 11:00 AM -12:15 PM
Location: 2004 Marsico Hall

Course Description & Syllabus

 

BCB 722: Daniel Schrider – Topics in Population Genetics

This module will cover methods of inferring/estimating natural selection, including the Dn/Ds ratio, the McDonald-Kreitman test, and the Poisson Random Field model. The course will feature discussions of high-profile publications that describe the application of these methods to yield insights into the forces that have shaped organismal evolution.

1 Credit Hour
Dates: August 21-September 20

Time: Tuesdays and Thursdays – 2:00-3:15P
Location: 2004 Marsico Hall

 

 

 

Spring 2019

 

BCB 710: Tim Elston – Bioinformatics Colloquium

(Spring – Journal Club)

 

Curriculum seminar course. Required for First 4 Semesters for BCB PhD Program*. Required for 4 Semesters for BCB Certificate Program.

1 Credit Hour
January 14-April 22
Time: Mondays 4:30-5:30 PM
Location: To Be Announced

 

 

 

BCB 717: Brian Kuhlman – Structural Bioinformatics

This module introduces methods and techniques for protein modeling including structure determination, protein architecture, approaches to folding simulations, structure prediction, and structure based drug design.

1 Credit Hour
January 10-February 12

Time: TR – 9:30 am – 10:45 am
Location: To Be Announced

 

 

 

 

BCB 718: Jeremy Purvis – Computational Modeling Laboratory

This module provides a hands-on, laboratory-style course on computational modeling of biological systems.
Students will develop a model of their own choosing and be responsible for all aspects of its design, construction, simulation, and analysis.

1 Credit Hour
February 14-March 19
Time: TR – 2:00 pm– 3:15 pm
Location: To Be Announced

 

 

 

 

BCB 723: Yun Li and Fei Zou – Topics in Statistical Genetics and Genomics

The module will cover concepts, techniques, statistical methods for the analysis of genetic and genomic data. Topics covered will include classical linkage analysis, population-based and family‐based association analysis, genome‐wide association studies, basic principles in population genetics, analysis of next-generation or massively parallel sequencing data, and analysis of Hi-C data. Students will be exposed to the latest statistical methodology and computational tools on gene mapping for complex human disease.

1 Credit Hour
January 10-February 12
Time: TR – 2:00 pm– 3:15 pm
Location: To Be Announced

 

 

 

BCB 891: Katherine HoadleyChuck Perou,Greg Forest – Cancer Genomics and Class Discovery

The objectives of this module are to: Gain an understanding of the genomic data types being collected on human tumors; Learn about the basics of RNA and DNA NGS sequence analysis; Learn about pattern discovery tools including hierarchical clustering and biclustering; Understand the challenges of integrating heterogeneous data types; and learn real world examples of complex data integration for class discovery.

1 Credit Hour
February 18-March 25
Time: M – 5:00 pm– 7:00 pm
Location: To Be Announced