MCDB 416 - Introduction to Bioinformatics
Section: 001
Term: FA 2017
Subject: Molecular, Cellular, and Developmental Biology (MCDB)
Department: LSA Molecular, Cellular, and Developmental Biology
Requirements & Distribution:
With permission of instructor.
Enforced Prerequisites:
BIOLOGY 305 and EEB 390, or graduate standing.
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
May not be repeated for credit.
Rackham Information:
Rackham credit requires additional work.
Primary Instructor:

Introduction to Bioinformatics is an advanced elective for upper-level Program in Biology majors and graduate students that wish to gain exposure to the basic principles of bioinformatics as well as guided practice using the typical computational tools of the field.

This course will provide students hands-on experience with sequence analysis and is geared toward a typical upper-level EEB or MCDB undergraduate students, as well as a beginning graduate students. The course provides basic background of bioinformatic tools and experience using these tools.

Learning Objectives:

  1. Students will learn how to utilize basic online databases such as NCBI to retrieve sequences and PubMed references. Students will learn how to use such online resources for performing hands-on gene searches and genome analysis. Students will also learn how to download, manipulate and analyze sequence data for use on a personal computer or class server.
  2. Students will compare and contrast UNIX command-line basics to a reliance on web-based approaches for working with directories, simple sequence editing, and sequence BLASTs.
  3. Students will perform sequence similarity searches such as local and multiple alignments using CLUSTAL and other programs, will be able to produce consensus sequences and will learn how to edit sequence alignments.
  4. Students will analyze sequence patterns for gene prediction and gene function, will identify areas of sequence homology, conserved regions such as promoters and restriction sites, and RNA and protein folding patterns using pattern recognition software.
  5. Students will examine the principals of genome analysis, such as the production and analysis of SNPs and haplotypes, the analysis of microarray or other gene expression data, and principals and examples of next-generation sequencing and new developments in genomics.

Course Requirements:

Grades will be assigned based on daily reading retention quizzes and daily in-class work. There are two exams, a mid-term and a final; as well as a final project that is group-based.

Intended Audience:

Upper-level undergraduates and beginning graduate students.

Class Format:

3 hours per week lecture, and 2.5 hours per week lab.

MCDB 416 - Introduction to Bioinformatics
Schedule Listing
001 (LEC)
TuTh 1:00PM - 2:30PM
002 (LAB)
TuTh 2:30PM - 3:30PM
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