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The ever-increasing data needs of scientific and engineering applications require novel approaches to managing and exploring huge amounts of information in order to advance scientific discovery.
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In disciplines that produce a wide variety of data – such as materials engineering – it can be difficult to provide an infrastructure for storing, managing, sharing and exploring datasets, particularly whilst that data is still in use.
Maybe I wasn't feeling the same miasma I had to name if I hoped to manage and explore it.
It helps scientists to manage and explore their data, using interface and database designs guided by their needs.
The analysis was facilitated by Dr. Zompo which has been designed to manage and explore seagrass ESTs and genomic data from various species.
Several plant science departments at the French National Institute for Agricultural Research INRAandand many large international collaborative projects use this system to manage and explore their data.
In this paper we presented computational tools developed to manage and explore clinical and biomolecular data for the identification of molecular mechanisms in the tumor microenvironment.
Nucleotide sequencing throughput has been improved with new technologies; this increases the need for powerful information systems able to store, manage and explore data.
The rise of personalized medicine and the availability of high-throughput molecular analyses in the context of clinical care have increased the need for adequate tools for translational researchers to manage and explore these data.
The throughput of nucleotide sequencing technologies is becoming ever faster, and there is increasing need for powerful ISs, which are able to store, manage and explore large-scale data such that it can be fully exploited in the fields of genomics and genetics.
Data analysis was undertaken using a Framework Approach to manage, describe and explore the original data in relation to the underlying TPB [ 19].
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