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Acknowledgements

Elser JJ, Acquisti C & Kumar S (2011) Stoichiogenomics: the evolutionary ecology of macromolecular elemental composition. Trends in Ecology & Evolution 26:38-44 PDF

Acquisti CA, Kumar S & Elser JJ (2009) Signatures of nitrogen limitation in the elemental composition of the proteins involved in the metabolic apparatus. Proceedings of the Royal Society of London Series B-Biological Sciences 276:2605-2610 PDF

Acquisti CA, Elser JJ & Kumar S (2009) Ecological nitrogen-limitation shapes the DNA composition of plant genomes. Molecular Biology and Evolution 26:953-956 PDF

Elser JJ, Fagan WF, Subramanian S & Kumar S (2006) Signatures of ecological resource availability in the animal and plant proteomes. Molecular Biology and Evolution 23:1946-1951 PDF

Genomics Resource Access for Stoichio-Proteomics
Project Overview

GRASP is a public web site and database focused on analyzing the elemental composition of proteomes ("stoichioproteomics"). This initial release (BETA) is designed to provide the basic tools for stoichio-proteomic analysis, and, at the same time, allow this analysis to be coupled to other sources of useful biological information about Drosophila melanogaster.  Subsequent releases will be augmented with similar information on other species as well as with additional information about other characteristics, including known developmental regulators, life span, feeding habits, and other ecological information.  The site is designed to provide users with information that they can use via downloadable spreadsheets and comma-separated value lists.  In the future, in response to user requests, we plan to add some innovative analytic tools to expedite the research process. 

As species are added to GRASP, their available proteome is added, and standard functions are used to pre-calculate the amino acid and elemental counts of each protein.  Then, aggregations grouped by biological process, molecular function, protein pathway, and family are prepared and documented using data from recognized sources of frequently-cited proteomic information.  In addition, users can create their own aggregations of proteins derived from the selected species, automatically generating a downloadable spreadsheet of aggregated amino acid and elemental counts.  It is then possible to use spreadsheet tools to perform preliminary analyses, plot results, load a specialized database, etc. 

We welcome your comments and suggestions.  Please direct them to GraspTeam@asu.edu.

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