This paves the way to integration of more than just database and computational resources into scientific queries, but also potentially to automation of experimentation platforms, similar to the platform deployed for the robot scientist.
All are inter-linked and synchronised through real-time registries, vast computational databases, meticulously recording the specific immunological (HLA) typology of each individual unit.
Several computational databases also follow a comparative approach (such as KEGG [ 38] and BioCyc [ 39]) and highlight the molecular pathways within protein interaction and metabolic networks [ 40].
Now, we are building RScan as a web server for supporting more ncRNA structural databases from experimental and computational databases, like RNAdb, NONCODE, Fantom3, etc. RScan is a fast and sensitive algorithm for searching RNA secondary structure similarity and it is valuable for real-life applications.
This is the case of David Feller's Computational Results Database http://tyr3.chem.wsu.edu/~feller/Site/Database.html[18], an intra-lab database to store and organize more than 100,000 calculations on small to medium-sized molecules, with an emphasis on very high levels of the theory.
Extensive computational and database tools are available to mine genomic and genetic databases for model organisms, but little genomic data is available for many species of ecological or agricultural significance, especially those with large genomes.
Examples include the Materials Project at MIT [8], CatApp at Stanford [9] the Computational Results Database at Washington State University [10] and the Computational Chemistry Comparison and Benchmark Database at theNational Institute of Standards and Technology (NIST) [11].
The averaging algorithm has been tested using the very large zebra finch data set collected by the Frederic Theunissen laboratory at UC Berkeley [1] and made available to the Collaborative Research in Computational Neuroscience database.
Chemistry is indeed an immense and rapidly growing discipline with a wealth of disparate computational and database resources which are currently largely isolated and inaccessible to truly integrative queries across the entirety of the chemical (deep) web.
