COMPUTATIONAL GENOMICS
Session
Academic Term
Class Number
14681
Career
Graduate
Dates
1/19/2021 - 5/1/2021
Units
3 units
Grading
Grad LG/SNC Basis
Description
Dramatic advances in experimental technology and computational analysis are fundamentally transforming the basic nature and goal of biological research. The emergence of new frontiers in biology, such as evolutionary genomics and systems biology is demanding new methodologies that can confront quantitative issues of substantial computational and mathematical sophistication. In this course we will discuss classical approaches and latest methodological advances in the context of the following biological problems: 1) computational genomics, focusing on gene finding, motifs detection and sequence evolution. 2) Medical and populational genetics, focusing on polymorphism analysis, linkage analysis, pedigree and genetic demography, 3) analysis of high throughput biological data, such as gene expression data, focusing on issues ranging from data acquisition to pattern recognition and classification. 4) Molecular and regulatory evolution, focusing on phylogenetic inference and regulatory network evolution, and 5) systems biology, concerning how to combine sequence, expression and other biological data sources to infer the structure and function of different systems in the cell. From the computational side this course focuses on modern machine learning methodologies for computational problems in molecular biology and genetics, including probabilistic modeling, inference and learning algorithms, pattern recognition, data integration, time series analysis, active learning, etc.
Class Details
Instructor(s)
Staff
Meets
MoWe 2:20PM - 3:40PM
Meeting Dates
01/19/2021 - 05/01/2021
Room
TO BE ARRANGED
Campus
Pittsburgh Campus
Location
Pittsburgh Campus
Components
Lecture Required
Textbooks/Materials
Textbooks to be determined
Class Availability
Status
Open
Seats Taken
3
Seats Open
25
Combined Section Capacity
28
Unrestricted Seats
0
Restricted Seats
0
Wait List Total
0
Wait List Capacity
0
Combined Section
COMPUTATIONAL GENOMICS
MSCBIO 2070 - 1030 (14680)
Status: Open
Seats Taken: 1
Wait List Total: 0
COMPUTATIONAL GENOMICS
CMPBIO 2070 - 1010 (14681)
Status: Open
Seats Taken: 2
Wait List Total: 0
COMPUTATIONAL GENOMICS
COBB 2070 - 1030 (30869)
Status: Open
Seats Taken: 0
Wait List Total: 0