Development of an integrated laboratory information management system of the maize mapping project

Motivation: The development of an integrated genetic and physical map for the maize genome involves the generation of an enormous amount of data. Managing this data requires a system to aid in genotype scoring for different types of markers coming from both local and remote users. In addition, resea...

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Autores principales: Sánchez Villeda, H., Schroeder, S., McMullen, M., Havermann, S., Davis, G., Vroh Bi, Irie, Cone, K., Duru, N., Yim, Y.S., Gardiner, J., Polacco, M., Fang, Z., Coe, E., Sharopova, N., Musket, T., Houchins, K., Schultz, L.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Oxford University Press 2003
Materias:
Acceso en línea:https://hdl.handle.net/10568/107584
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author Sánchez Villeda, H.
Schroeder, S.
McMullen, M.
Havermann, S.
Davis, G.
Vroh Bi, Irie
Cone, K.
Duru, N.
Yim, Y.S.
Gardiner, J.
Polacco, M.
Fang, Z.
Coe, E.
Sharopova, N.
Musket, T.
Houchins, K.
Schultz, L.
author_browse Coe, E.
Cone, K.
Davis, G.
Duru, N.
Fang, Z.
Gardiner, J.
Havermann, S.
Houchins, K.
McMullen, M.
Musket, T.
Polacco, M.
Schroeder, S.
Schultz, L.
Sharopova, N.
Sánchez Villeda, H.
Vroh Bi, Irie
Yim, Y.S.
author_facet Sánchez Villeda, H.
Schroeder, S.
McMullen, M.
Havermann, S.
Davis, G.
Vroh Bi, Irie
Cone, K.
Duru, N.
Yim, Y.S.
Gardiner, J.
Polacco, M.
Fang, Z.
Coe, E.
Sharopova, N.
Musket, T.
Houchins, K.
Schultz, L.
author_sort Sánchez Villeda, H.
collection Repository of Agricultural Research Outputs (CGSpace)
description Motivation: The development of an integrated genetic and physical map for the maize genome involves the generation of an enormous amount of data. Managing this data requires a system to aid in genotype scoring for different types of markers coming from both local and remote users. In addition, researchers need an efficient way to interact with genetic mapping software and with data files from automated DNA sequencing. They also need ways to manage primer data for mapping and sequencing and provide views of the integrated physical and genetic map and views of genetic map comparisons.Results: The MMP-LIMS system has been used successfully in a high-throughput mapping environment. The genotypes from 957 SSR, 1023 RFLP, 189 SNP, and 177 InDel markers have been entered and verified via MMP-LIMS. The system is flexible, and can be easily modified to manage data for other species. The software is freely available.
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language Inglés
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spelling CGSpace1075842024-05-01T08:16:28Z Development of an integrated laboratory information management system of the maize mapping project Sánchez Villeda, H. Schroeder, S. McMullen, M. Havermann, S. Davis, G. Vroh Bi, Irie Cone, K. Duru, N. Yim, Y.S. Gardiner, J. Polacco, M. Fang, Z. Coe, E. Sharopova, N. Musket, T. Houchins, K. Schultz, L. information management maize mapping Motivation: The development of an integrated genetic and physical map for the maize genome involves the generation of an enormous amount of data. Managing this data requires a system to aid in genotype scoring for different types of markers coming from both local and remote users. In addition, researchers need an efficient way to interact with genetic mapping software and with data files from automated DNA sequencing. They also need ways to manage primer data for mapping and sequencing and provide views of the integrated physical and genetic map and views of genetic map comparisons.Results: The MMP-LIMS system has been used successfully in a high-throughput mapping environment. The genotypes from 957 SSR, 1023 RFLP, 189 SNP, and 177 InDel markers have been entered and verified via MMP-LIMS. The system is flexible, and can be easily modified to manage data for other species. The software is freely available. 2003-11-01 2020-03-12T10:06:15Z 2020-03-12T10:06:15Z Journal Article https://hdl.handle.net/10568/107584 en Limited Access Oxford University Press Sanchez-Villeda, H., Schroeder, S., Polacco, M., McMullen, M., Havermann, S., Davis, G., ... & Schultz, L. (2003). Development of an integrated laboratory information management system for the maize mapping project. Bioinformatics, 19(16), 2022-2030.
spellingShingle information management
maize
mapping
Sánchez Villeda, H.
Schroeder, S.
McMullen, M.
Havermann, S.
Davis, G.
Vroh Bi, Irie
Cone, K.
Duru, N.
Yim, Y.S.
Gardiner, J.
Polacco, M.
Fang, Z.
Coe, E.
Sharopova, N.
Musket, T.
Houchins, K.
Schultz, L.
Development of an integrated laboratory information management system of the maize mapping project
title Development of an integrated laboratory information management system of the maize mapping project
title_full Development of an integrated laboratory information management system of the maize mapping project
title_fullStr Development of an integrated laboratory information management system of the maize mapping project
title_full_unstemmed Development of an integrated laboratory information management system of the maize mapping project
title_short Development of an integrated laboratory information management system of the maize mapping project
title_sort development of an integrated laboratory information management system of the maize mapping project
topic information management
maize
mapping
url https://hdl.handle.net/10568/107584
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