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We created an interaction network and detected hubs from a list of 923 glycogenes identified from mouse RNA-Seq data and investigated the functional impact of nsSNPs in the hub glycogenes via computational methods. Overall, the number of nsSNPs that are predicted to be deleterious or damaging by using tools (PROVEAN, SIFT and Polyphen-2) that may affect protein function is 5 for FLT1, 2 for TNFRSF1B, and 7 for NID2, respectively. Therefore, our investigation will offer valuable information in selecting SNPs that are expected to have impending functional influence and eventually contribute in understanding the functional roles of these hub glycogenes. |
Shows the distribution of total number of SNPs and nsSNPs identified for mouse hub Glycogenes. |
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Citation: Ahmad Firoz, Adeel Malik, Sanjay Kumar Singh, Vivekanand Jha, Amjad Ali, Identification of hub glycogenes and their nsSNP analysis from mouse RNA-Seq data, Gene, Volume 574, Issue 2, 15 December 2015, Pages 235-246 |
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