BIOI 337 - Quantitative Methods in Bioinformatics

Institution:
Loyola University Chicago
Subject:
Bioinformatics
Description:
Prerequisite: STAT 203 or 335 This course develops the mathematical and statistical methods necessary to analyze and interpret genomic and proteomic data, including signal analysis, sequence alignment methods, data-base search methods useful in bioinformatics and data mining. Outcome: Students will obtain the quantitative skills used in BLAST, including inference, stochastic processes and hidden Markov models, random walks, microarray analysis and biological sequence analysis.
Credits:
4.00
Credit Hours:
Prerequisites:
Corequisites:
Exclusions:
Level:
Instructional Type:
Lecture
Notes:
Additional Information:
Historical Version(s):
Institution Website:
Phone Number:
(773) 274-3000
Regional Accreditation:
North Central Association of Colleges and Schools
Calendar System:
Semester

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