CHBE 571

Spring 2026 All Classes

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Bioinformatics

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Credit: 4 hours.

Introduction to statistical methods used in the analysis of genomic data. Methods are organized around data types commonly found in biological experiments, such as genotype data, gene expression levels, histone modifications, and microbiome data. Emphasis on statistical understanding. Practical implementation will be illustrated in R.

Same as ANSC 543, MCB 571, and STAT 530. 4 graduate hours. No professional credit. Prerequisite: MATH 461, STAT 410, STAT 420, or equivalent coursework for these three courses and thorough knowledge of R.

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CHBE 571 class schedule data for spring 2026
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	61909	Lecture-Discussion	A1	2:00PM -3:20PM	TR	136 Loomis Laboratory	Zhao, S	Part of Term: 1 Date Range: 01/20/26-05/06/26 Section Info: For up-to-date information about statistics course registration, please see our registration update pages: go.illinois.edu/StatisticsRegistration. Introduction to statistical methods used in the analysis of genomic data. Methods are organized around data types commonly found in biological experiments, such as genotype data, gene expression levels, histone modifications, and microbiome data. Emphasis on statistical understanding. Practical implementation will be illustrated in R. Prerequisites: STAT 410, STAT 420, thorough knowledge of R. Restriction(s): Restricted to Graduate - Urbana-Champaign.