Literature DB >> 14571128

Learning to karyotype in the university environment: a computer-based virtual laboratory class (KaryoLab) designed to rationalize time for the tutor/researcher and to encourage more students to engage in cytogenetics.

N J Gibbons1, C Evans, D K Griffin.   

Abstract

The ability to karyotype G-banded chromosome preparations is an essential skill for chromosome biologists. For this reason, the teaching of the rudiments of G banding analysis forms an integral part of the curriculum in many biology and genetics degree courses. The way in which karyotyping is usually taught involves providing the students with a photograph of G-banded chromosomes, a pair of scissors and some glue from which they can cut out the chromosomes and build the karyotype. This has the disadvantage that large amounts of time are taken in cutting and pasting and comparatively little in learning pattern recognition of individual chromosomes. In this paper we describe the development of a computer-based student practical class "KaryoLab". To the best of our knowledge, this is the first report of a teaching tool that combines instruction in cytogenetic analysis with both formative and summative feedback to the student and a virtual elimination of marking time for the tutor. Chromosome research and diagnostics will only continue while there are sufficiently motivated and trained individuals to perform it. We see the software developed here as a significant step towards training and motivating students in cytogenetics. Copyright 2003 S. Karger AG, Basel

Mesh:

Year:  2003        PMID: 14571128     DOI: 10.1159/000073409

Source DB:  PubMed          Journal:  Cytogenet Genome Res        ISSN: 1424-8581            Impact factor:   1.636


  2 in total

1.  Computer simulations improve university instructional laboratories.

Authors:  Nicola J Gibbons; Chris Evans; Annette Payne; Kavita Shah; Darren K Griffin
Journal:  Cell Biol Educ       Date:  2004

2.  Isolation of subtelomeric sequences of porcine chromosomes for translocation screening reveals errors in the pig genome assembly.

Authors:  R E O'Connor; G Fonseka; R Frodsham; A L Archibald; M Lawrie; G A Walling; D K Griffin
Journal:  Anim Genet       Date:  2017-05-12       Impact factor: 3.169

  2 in total

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