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PlantGM: a database for genetic markers in rice (Oryza sativa) and Chinese cabbage (Brassica rapa)
The Plant Genetic Map Database (PlantGM) has been developed as a web-based system which provides information about genetic markers in rice (Oryza sativa) and Chinese cabbage (Brassica rapa). The database has three major parts and functions; (1) Map Search, (2) Marker Search, and (3) QTL Search. At p...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Biomedical Informatics Publishing Group
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2637951/ https://www.ncbi.nlm.nih.gov/pubmed/19238232 |
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author | Kim, Chang Kug Kim, Jung Sun Lee, Gang Seob Park, Beom Seok Hahn, Jang Ho |
author_facet | Kim, Chang Kug Kim, Jung Sun Lee, Gang Seob Park, Beom Seok Hahn, Jang Ho |
author_sort | Kim, Chang Kug |
collection | PubMed |
description | The Plant Genetic Map Database (PlantGM) has been developed as a web-based system which provides information about genetic markers in rice (Oryza sativa) and Chinese cabbage (Brassica rapa). The database has three major parts and functions; (1) Map Search, (2) Marker Search, and (3) QTL Search. At present, the database provides characterization information for about 3258 genetic markers. It has 2800 RFLP and 112 QTL markers related to rice in addition to 321 RFLP and 25 PCR-based markers for Chinese cabbage. In addition, a genetic linkage map was also constructed by using 1,054 markers from 2,912 markers in rice. AVAILABILITY: The database is available for free at http://www.niab.go.kr/nabic/PlantGM |
format | Text |
id | pubmed-2637951 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Biomedical Informatics Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-26379512009-02-23 PlantGM: a database for genetic markers in rice (Oryza sativa) and Chinese cabbage (Brassica rapa) Kim, Chang Kug Kim, Jung Sun Lee, Gang Seob Park, Beom Seok Hahn, Jang Ho Bioinformation Database The Plant Genetic Map Database (PlantGM) has been developed as a web-based system which provides information about genetic markers in rice (Oryza sativa) and Chinese cabbage (Brassica rapa). The database has three major parts and functions; (1) Map Search, (2) Marker Search, and (3) QTL Search. At present, the database provides characterization information for about 3258 genetic markers. It has 2800 RFLP and 112 QTL markers related to rice in addition to 321 RFLP and 25 PCR-based markers for Chinese cabbage. In addition, a genetic linkage map was also constructed by using 1,054 markers from 2,912 markers in rice. AVAILABILITY: The database is available for free at http://www.niab.go.kr/nabic/PlantGM Biomedical Informatics Publishing Group 2008-10-17 /pmc/articles/PMC2637951/ /pubmed/19238232 Text en © 2007 Biomedical Informatics Publishing Group This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Database Kim, Chang Kug Kim, Jung Sun Lee, Gang Seob Park, Beom Seok Hahn, Jang Ho PlantGM: a database for genetic markers in rice (Oryza sativa) and Chinese cabbage (Brassica rapa) |
title | PlantGM: a database for genetic markers in rice (Oryza sativa) and Chinese cabbage (Brassica rapa) |
title_full | PlantGM: a database for genetic markers in rice (Oryza sativa) and Chinese cabbage (Brassica rapa) |
title_fullStr | PlantGM: a database for genetic markers in rice (Oryza sativa) and Chinese cabbage (Brassica rapa) |
title_full_unstemmed | PlantGM: a database for genetic markers in rice (Oryza sativa) and Chinese cabbage (Brassica rapa) |
title_short | PlantGM: a database for genetic markers in rice (Oryza sativa) and Chinese cabbage (Brassica rapa) |
title_sort | plantgm: a database for genetic markers in rice (oryza sativa) and chinese cabbage (brassica rapa) |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2637951/ https://www.ncbi.nlm.nih.gov/pubmed/19238232 |
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