Hostname: page-component-78c5997874-ndw9j Total loading time: 0 Render date: 2024-11-06T02:34:21.983Z Has data issue: false hasContentIssue false

Fungal gene sequences make excellent models for teaching data mining

Published online by Cambridge University Press:  23 September 2004

PAUL HOOLEY
Affiliation:
School of Applied Sciences, University of Wolverhampton, Wulfruna St., Wolverhampton, West Midlands. WV1 1SB. UK. Email [email protected], Fax +44 01902 322714
ALAN BURNS
Affiliation:
School of Applied Sciences, University of Wolverhampton, Wulfruna St., Wolverhampton, West Midlands. WV1 1SB. UK. Email [email protected], Fax +44 01902 322714
MICHAEL WHITEHEAD
Affiliation:
School of Applied Sciences, University of Wolverhampton, Wulfruna St., Wolverhampton, West Midlands. WV1 1SB. UK. Email [email protected], Fax +44 01902 322714
Get access

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
Original Article
Copyright
© 2004 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)