GenoMap: A distributed system for unifying genotyping and genetic linkage analysis

Todd E Scheetz; Terry A Braun; Kyle J Munn; Edwin M Stone; Val C Sheffield; Thomas L Casavant

doi:10.1016/S0167-8191(98)00072-6

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GenoMap: A distributed system for unifying genotyping and genetic linkage analysis

Journal article

Peer reviewed

GenoMap: A distributed system for unifying genotyping and genetic linkage analysis

Todd E Scheetz, Terry A Braun, Kyle J Munn, Edwin M Stone, Val C Sheffield and Thomas L Casavant

Parallel Computing, Vol.24(9), pp.1567-1592

1998

DOI: 10.1016/S0167-8191(98)00072-6

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Abstract

This paper describes GenoMap, an integrated, parallel/distributed computing software system that aids in large-scale gene linkage mapping studies. This problem requires data from heterogeneous, distributed sources. In addition, the users of the system are researchers spanning a wide range of cultures, and represent a broad range of computing needs. A distributed, heterogeneous solution addresses most of the primary challenges, but presents its own difficulties. The key elements of GenoMap are provided by way of a web-based set of interactive Java applets and applications, as well as a small number of native applications, with automated load-balancing support for sharing computationally intensive tasks among a collection of distributed UNIX workstations. While computationally intensive tasks are supported on the most appropriate systems, users are able to conduct most of their work in familiar MacOS and Windows/PC environments through the use of a Java-enabled web browser. We also describe GenoScape, a C & X-Windows/UNIX native application for robust genotyping of a wide range of electrophoresis gel formats.

Web-based application

Genetic linkage

Distributed

Details

Title: Subtitle: GenoMap: A distributed system for unifying genotyping and genetic linkage analysis
Creators: Todd E Scheetz
Terry A Braun
Kyle J Munn
Edwin M Stone
Val C Sheffield
Thomas L Casavant
Resource Type: Journal article
Publication Details: Parallel Computing, Vol.24(9), pp.1567-1592
DOI: 10.1016/S0167-8191(98)00072-6
ISSN: 0167-8191
eISSN: 1872-7336
Publisher: Elsevier B.V
Language: English
Date published: 1998
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Stead Family Department of Pediatrics; Iowa Neuroscience Institute; Medical Genetics and Genomics; Ophthalmology and Visual Sciences
Record Identifier: 9983980035202771

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