The laboratory information management system (LIMS) for handling the heterogeneous data from high throughput experiments in the post-genome sequencing era

Madhusudan, Ilango Vadivelu, Lothar Krause, Yuhong Ning, Stephen Lyon, Peter Morrison, Lonnie Sorrells, Ron Taussig, Shankar Subramaniam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Validation, management, and structuring of data are key components of any high throughput experimental workflow. To meet these needs for a complex multi-institutional biological project (the Alliance for Cellular Signaling), we have developed an extensive and robust laboratory information management system. The workflow in the laboratory begins with cell preparation and purification and ends with RNA transcript analysis, and phosphoprotein western blots or proteomic experiments. The software design of our system is generic, modular, and extensible.

Original languageEnglish (US)
Title of host publicationProceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, METMBS'04
EditorsF. Valafar, H. Valafar
Pages98-104
Number of pages7
StatePublished - Dec 1 2004
EventProceedings of the International Conference on Mathematics and Engineering Techniques in medicine and Biological Sciences, METMBS'04 - Las Vegas, NV, United States
Duration: Jun 21 2004Jun 24 2004

Publication series

NameProceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, METMBS'04

Other

OtherProceedings of the International Conference on Mathematics and Engineering Techniques in medicine and Biological Sciences, METMBS'04
CountryUnited States
CityLas Vegas, NV
Period6/21/046/24/04

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Madhusudan, Vadivelu, I., Krause, L., Ning, Y., Lyon, S., Morrison, P., Sorrells, L., Taussig, R., & Subramaniam, S. (2004). The laboratory information management system (LIMS) for handling the heterogeneous data from high throughput experiments in the post-genome sequencing era. In F. Valafar, & H. Valafar (Eds.), Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, METMBS'04 (pp. 98-104). (Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, METMBS'04).