| Using Arabidopsis genetic sequences to teach bioinformatics. | |
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MedLine Citation:
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PMID: 21567683 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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This article describes a new approach to teaching bioinformatics using Arabidopsis genetic sequences. Several open-ended and inquiry-based laboratory exercises have been designed to help students grasp key concepts and gain practical skills in bioinformatics, using Arabidopsis leucine-rich repeat receptor-like kinase (LRR RLK) genetic sequences. In these exercises, students are asked to explore the intimate relationship between the structure and functions of LRR RLKs and to understand the diverse signaling roles of LRR RLKs in Arabidopsis. Students are also required to identify LRR RLK paralogs and orthologs and to analyze their evolutionary and functional relationships using bioinformatics software. Through these exercises, students are expected to gain the ability to search databases to retrieve genetic data and analyze them using a variety of bioinformatics tools. |
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Authors:
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Xiaorong Zhang |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology Volume: 37 ISSN: 1470-8175 ISO Abbreviation: Biochem Mol Biol Educ Publication Date: 2009 Jan |
Date Detail:
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Created Date: 2011-05-13 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 100970605 Medline TA: Biochem Mol Biol Educ Country: United States |
Other Details:
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Languages: eng Pagination: 16-23 Citation Subset: - |
Copyright Information:
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Copyright © 2009 International Union of Biochemistry and Molecular Biology, Inc. |
Affiliation:
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Department of Natural Sciences and Mathematics, Savannah State University, Savannah, Georgia 31404. zhangx@savstate.edu. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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