Laboratory Information Management Software for genotyping workflows: applications in high throughput crop genotyping
2006

Laboratory Information Management Software for Genotyping Workflows

publication Evidence: moderate

Author Information

Author(s): Jayashree B, Reddy Praveen T, Leeladevi Y, Crouch Jonathan H, Mahalakshmi V, Buhariwalla Hutokshi K, Eshwar KE, Mace Emma, Folksterma Rolf, Senthilvel S, Varshney Rajeev K, Seetha K, Rajalakshmi R, Prasanth VP, Chandra Subhash, Swarupa L, SriKalyani P, Hoisington David A

Primary Institution: International Crops Research Institute for the Semi-Arid Tropics (ICRISAT)

Hypothesis

The study aims to develop a software system that can efficiently manage high throughput genotyping workflows.

Conclusion

A laboratory information management system is available that has been found useful in the management of microsatellite genotype data in a moderately high throughput genotyping laboratory.

Supporting Evidence

  • The AGL-LIMS application is designed to manage high throughput genotyping workflows.
  • It provides functions for tracking DNA samples and managing data at different steps of the genotyping process.
  • The software is modular, allowing for easy updates and modifications.
  • The application has been tested and is user-friendly for laboratory technicians and students.

Takeaway

This study created a software tool to help scientists keep track of DNA samples and their data, making it easier to do genetic testing on plants.

Methodology

The AGL-LIMS was developed using open source software and implemented with a modular design to manage the genotyping workflow.

Limitations

The application is designed for specific crops and may require modifications for other laboratory needs.

Digital Object Identifier (DOI)

10.1186/1471-2105-7-383

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