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How to Analyze DNA Microarray Data

Launch Interactive
Topic
  • Biochemistry & Molecular Biology
  • Biotechnology
  • Genetics
  • Bioinformatics
  • Science Practices
  • Statistics
Resource Type
  • Interactive Media
  • Click & Learn
Level
High School — AP/IBCollege
Favorited By
5 Users
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Description

This tutorial explains how scientists analyze and interpret the large data sets generated by DNA microarrays.

The Click & Learn describes how DNA microarrays are designed and used to study gene expression patterns. It also discusses how microarray data is analyzed using statistical analyses, such as similarity scores (correlation coefficients) and hierarchical clustering. Students explore these analyses with a specific example: an experiment to identify genes that are differentially expressed in a tumor cell compared to a non-tumor cell.

Details
Estimated Time
Two 50-minute class periods.
Key Terms

bioinformatics, complementary DNA (cDNA), dot product, fluorescent marker, hierarchical clustering, laboratory technique, log transformation, messenger RNA (mRNA), Pearson correlation coefficient (Pearson’s r), reverse transcriptase

Terms of Use

Please see the Terms of Use for information on how this resource can be used.

Version History
Date Published 02.28.02
Curriculum Connections
NGSS (2013)

HS-LS1.A, HS-LS3.A

AP Biology (2019)

IST-1.O, IST-1.P

IB Biology (2016)

2.7, 7.2

Vision and Change (2009)

CC2

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