Open Science Research Excellence
@article{(International Science Index):,
  title    = {GeNS: a Biological Data Integration Platform},
  author    = {Joel Arrais and  João E. Pereira and  João Fernandes and  José Luís Oliveira},
  country   = {},
  abstract  = {The scientific achievements coming from molecular
biology depend greatly on the capability of computational
applications to analyze the laboratorial results. A comprehensive
analysis of an experiment requires typically the simultaneous study
of the obtained dataset with data that is available in several distinct
public databases. Nevertheless, developing a centralized access to
these distributed databases rises up a set of challenges such as: what
is the best integration strategy, how to solve nomenclature clashes,
how to solve database overlapping data and how to deal with huge
datasets. In this paper we present GeNS, a system that uses a simple and yet innovative approach to address several biological data integration issues. Compared with existing systems, the main
advantages of GeNS are related to its maintenance simplicity and to its coverage and scalability, in terms of number of supported
databases and data types. To support our claims we present the current use of GeNS in two concrete applications. GeNS currently contains more than 140 million of biological relations and it can be
publicly downloaded or remotely access through SOAP web services.},
    journal   = {International Journal of Computer, Electrical, Automation, Control and Information Engineering},  volume    = {3},
  number    = {10},
  year      = {2009},
  pages     = {2443 - 2448},
  ee        = {},
  url       = {},
  bibsource = {},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 34, 2009},