ADDGAP
Alzheimer’s Disease Database for Genetic Association Studies and Phosphorylation States
References
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- Kumar P, Henikoff S, Ng PC: Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm. Nature Protocols 2009, 4(7): 1073-1081.
- Adzhubei I, Jordan DM, Sunyaev SR: Predicting functional effect of human missense mutations using PolyPhen-2. Curr Protoc Hum Genet 2013, Chapter 7:Unit7.20. doi:10.1002/0471142905.hg0720s76.
- Sehgal M, Singh TR: DRGAS: A database of functional genetic variants and their phosphorylation states in human DNA repair systems. DNA Repair 2013, 16: 97-103.
- Panigrahi PP, Singh TR: Computational studies on Alzheimer’s disease associated pathways and regulatory patterns using microarray gene expression and network data: Revealed association with aging and other diseases. Journal of Theoretical Biology 2013, 334:109-121.
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