CHE 355 - Big Data in Genomics & Proteomics

Institution:

Lincoln University of Pennsylvania

Subject:

Chemistry

Description:

Students will study and use methods and software tools for visualizing and understanding biological data by using computer science and statistics to analyze and interpret biological data. The course will focus on methods of analyzing data in the fields of genomics and proteomics, as well as, an introductory examination of metabolomics data. Topics will include analysis of data from next-generation sequencing technologies, microarrays, mass spectrometry, clustering, and networks/causative models. Current software packages will be utilized (which will be updated frequently and may include NCBI, UCSC genome browser, UniProt, GenBank, 1000 genomes, The Cancer Genome Atlas, HapMap, R, cBioPortal, Tetrad). This course infuses current research by discussing recent published data in genomics and proteomics.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture/Lab

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.lincoln.edu

Phone Number:

(484) 365-8000

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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