Sirisha Gollapudi

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To facilitate broad and convenient integrative visualization of and access to GWAS data, we have created the GWAS Central resource ( This database seeks to provide a comprehensive collection of summary-level genetic association data, structured both for maximal utility and for safe open access (i.e., non-directional signals to(More)
Tea manufacture induces a variety of stresses that affect tea quality. We are using microarray data to track transcrip-tional changes occurring during wounding and withering of the leaves to identify metabolic pathways that could influence tea aroma and flavour. Current transcriptomic approaches include the use of a partial, tea-specific array. In order to(More)
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