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Using Arabidopsis genetic sequences to teach bioinformatics
Author(s) -
Zhang Xiaorong
Publication year - 2009
Publication title -
biochemistry and molecular biology education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.34
H-Index - 39
eISSN - 1539-3429
pISSN - 1470-8175
DOI - 10.1002/bmb.20250
Subject(s) - arabidopsis , grasp , biology , computational biology , bioinformatics , variety (cybernetics) , computer science , gene , genetics , artificial intelligence , software engineering , mutant
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.