Spring 2018

 

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 22-April 23
Time: Mondays 4:40-5:30 PM
Location: 2035 Bondurant Hall (18 MacNider Hall on 3/19 &4/16)

 

 

 

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 11-February 15

Time: TR – 9:30 am – 10:45 am
Location: 2004 Marsico Hall

 

 

 

 

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 8-March 22
Time: TR – 2:00 pm– 3:15 pm
Location: 2004 Marsico Hall

 

 

 

 

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 11-February 13
Time: TR – 2:00 pm– 3:15 pm
Location: 21 MacNider Hall

 

 

 

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 15-March 21
Time: M – 5:00 pm– 7:00 pm
Location: 5004 Marsico Hall

 

 

 

 

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: To Be Determined

 

 

 

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
August 21-September 20
Time: Tuesdays and Thursdays – 2:00-3:15 PM
Location: To Be Determined

 

 

 

BCB 716:  Alain Laederach – 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: To Be Determined

 

 

 

 

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: To Be Determined

Course Description & Syllabus

 

BCB 722: Fernando Pardo-Manuel de Villena – 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: September 25-October 25

Time: Tuesdays and Thursdays – 2:00-3:15P
Location: To Be Determined