Abstract
Modern sequencing methodologies produce more data in one run than a human being can read in a lifetime. Understanding how such vast quantities of information can be marshalled, assembled and interpreted is a challenging task for students and experienced researchers; it is even more challenging to have to explain this to lay audiences. Abstract representations, such as graphs or algorithms, or practical exercises with ‘black-box’ software, are limited in cultivating understanding. Gigsaw provides a physical model of next-generation sequencing data that can be readily manipulated, and different algorithms/experiments investigated at the bench top level. It is flexible in application and inexpensive to produce for public-understanding-of-science exercises or undergraduate/postgraduate training.
Availability: a Web server implementation of the Gigsaw software is freely available at http://www.compbio.dundee.ac.uk/gigsaw/ and provides the Gigsaw output as PDF aligned for double-sided printing. Source code is available upon request under an open-source license.
Availability: a Web server implementation of the Gigsaw software is freely available at http://www.compbio.dundee.ac.uk/gigsaw/ and provides the Gigsaw output as PDF aligned for double-sided printing. Source code is available upon request under an open-source license.
Original language | English |
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Pages (from-to) | 28-32 |
Number of pages | 5 |
Journal | EMBnet Journal |
Volume | 18 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jun 2012 |
Keywords
- genomics
- bioinformatics
- sequencing
- next-generation sequencing
- training
- education;
- public understanding of science
ASJC Scopus subject areas
- Biochemistry, Genetics and Molecular Biology (miscellaneous)
- Molecular Biology