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Fungal gene sequences make excellent models for teaching data mining
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| Title: | Fungal gene sequences make excellent models for teaching data mining |
| Authors: | Hooley, Paul
Burns, Alan T. H.
Whitehead, Michael P. |
| Citation: | Mycologist, 18(3): 118-124 |
| Publisher: | Elsevier Science Direct |
| Journal: | Mycologist |
| Issue Date: | 2004 |
| URI: | http://hdl.handle.net/2436/29586 |
| DOI: | 10.1017/S0269-915X(04)00304-0 |
| Additional Links: | http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B7XMS-4R10WNS-5&_user=1644469&_rdoc=1&_fmt=&_orig=search&_sort=d&view=c&_acct=C000054077&_version=1&_urlVersion=0&_userid=1644469&md5=1530e2d002f11753de20b51bced8e4ce |
| Abstract: | A brief introductory exercise in the use of on-line databases to examine fungal genes and their products is described. Fungal genes make particularly good teaching models owing to their relatively simple eukaryotic structure and wide range of homologues in higher organisms including humans. An evaluation of students' reactions to the exercise is included. |
| Type: | Article |
| Language: | en |
| Keywords: | Data mining
BLAST
Fungal genes |
| Appears in Collections: | Cancer Research Group
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