| Currently, it covers 673 retina related genes. These genes are from two different sources. |
| 1. 512 retina related genes collected by literature searching in Pubmed. We wrote a script to search Pubmed by 'retina + gene name' for all mouse genes. This will remove most of mouse genes not mentioned in any retina-related paper. We then did a manual check of the left genes one by one to see whether they have been mentioned to have specific function in retina or showed retina-specific expression. |
| 2. 256 additional retina-related genes predicted based on the gene expression profiles across various tissues. Using the NCBI UniGene data set, we obtained genes that are preferentially expressed in retina using our previously published approach (enrichment score >8 and P-value <0.05). |
| These two gene sets were then combined, which resulted in a total of 673 retina-related murine genes. |
| It employs following data to construct the network by Bayesian Network method: | |||
| 1. Gene Ontology. | |||
| 2. KEGG pathway annotation. | |||
| 3. PPI (Protein-Protein Interaction), including DIP, MIPS, IntAct, Biogrid, and HPRD. | |||
| 4. Eleven microarray data. | |||
Reference:Hu J, Wan J, Hackler L Jr, Zack DJ, Qian J. Computational analysis of tissue-specific gene networks: application to murine retinal functional studies.Bioinformatics. 2010 Sep 15;26(18):2289-97. Epub 2010 Jul 8. | |||
 Johns Hopkins University | |||
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Created: May/01/2009,
Modified: Jun/01/2010 Contact: jhu18@jhmi.edu |
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