Citation
May Sean, . (2009) Bridging genome and information technology. [Proceedings Paper]
Abstract
Bioinformatics and genomics are closely related disciplines that hold great promises for the advancement of research and development in complex systems such as the plants. The role of bioinformatics has since changed from a specialist niche tool to that of an essential institutional technology. High throughout sequencing and advanced technologies have created tremendous demands for the development of powerful supercomputing statistical learning and artificial intelligence approaches to handle the massive bioinformatics and data. This paper will discuss how information technology works in tandem with genomics for efficient research and discoveries.
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Abstract
Bioinformatics and genomics are closely related disciplines that hold great promises for the advancement of research and development in complex systems such as the plants. The role of bioinformatics has since changed from a specialist niche tool to that of an essential institutional technology. High throughout sequencing and advanced technologies have created tremendous demands for the development of powerful supercomputing statistical learning and artificial intelligence approaches to handle the massive bioinformatics and data. This paper will discuss how information technology works in tandem with genomics for efficient research and discoveries.
Additional Metadata
| Item Type: | Proceedings Paper |
|---|---|
| Additional Information: | Available at Perpustakaan Sultan Abdul Samad Universiti Putra Malaysia 43400 UPM Serdang Selangor Darul Ehsan Malaysia. mal TP684 P3I61 2009 vol. 1 Call Number |
| AGROVOC Term: | Genomes |
| AGROVOC Term: | Plants |
| AGROVOC Term: | Bioinformatics |
| AGROVOC Term: | genomics |
| AGROVOC Term: | Information technology |
| AGROVOC Term: | Artificial intelligence |
| AGROVOC Term: | Research and development |
| AGROVOC Term: | Statistical data |
| Geographical Term: | MALAYSIA |
| Depositing User: | Ms. Suzila Mohamad Kasim |
| Last Modified: | 24 Apr 2025 05:15 |
| URI: | http://webagris.upm.edu.my/id/eprint/12366 |
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