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Journal of Infection and Molecular Biology

Short Communication
J. Inf. Mol. Biol. 1 (1): 17 - 19
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Muhammad Muddassir Ali1*, Furqan Awan2, Hassaan Bin Aslam3, Suliman Qadir Afridi3

1Institute of Biochemistry and Biotechnology, University of Veterinary and Animal Sciences, Lahore 54600, Pakistan, 2Department of epidemiology and public health, University of Veterinary and Animal Sciences, Lahore 54600, 3Department of Microbiology, University of Veterinary and Animal Sciences, Lahore 54600, Pakistan
*Corresponding author: muddassir.ali@uvas.edu.pk

ABSTRACT
Calculating gene clusters by various clustering approaches is usual way to study gene expression data. In recent, in vitro experiments are being conducted to use widespread applications of genetical genomics approaches in non-model and model species. Nowadays, many bioinformatics tools are under trails to make the correlation based networks to explore the genetic pathways.2000differentially expressed genes of cultured and uncultured bone cells from rabbit were taken. Network analysis was carried out from two Bioinformatics tools, BioLayout and GeneNet. David database was used to conduct functional analysis for differentially expressed genes. There were no significant overlapping functional categories between the cultured and uncultured dataset. Different genes participating in bone growth were identified. It is suggested that by using different network tools, area of genetical genomics could be explored.

Key Words: Genetical Genomics, Gene expression data, Biolayout, GeneNet, DAVID