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

Héctor SánchezVilleda | Zendy; Steven Schroeder | Zendy; Mary L. Polacco | Zendy; Michael D. McMullen | Zendy; Seth A. Havermann | Zendy; Gregory Davis | Zendy; I. VrohBi | Zendy; Karen C. Cone | Zendy; N. Sharopova | Zendy; Y B Yim | Zendy; Loren D. Schultz | Zendy; N. Jeremi Duru | Zendy; Theresa A. Musket | Zendy; Katherine Houchins | Zendy; Zhiwei Fang | Zendy; James Gardiner | Zendy; E. H. Coe | Zendy

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

Author(s) -

Héctor SánchezVilleda,

Steven Schroeder,

Mary L. Polacco,

Michael D. McMullen,

Seth A. Havermann,

Gregory Davis,

I. VrohBi,

Karen C. Cone,

N. Sharopova,

Y B Yim,

Loren D. Schultz,

N. Jeremi Duru,

Theresa A. Musket,

Katherine Houchins,

Zhiwei Fang,

James Gardiner,

E. H. Coe

Publication year - 2003

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btg274

Subject(s) - software , indel , computer science , data mining , genotype , single nucleotide polymorphism , biology , genetics , operating system , gene

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.

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