Περίληψη:
Technological advances in high-throughput techniques have resulted in
tremendous growth of complex biological datasets providing evidence
regarding various biomolecular interactions. To cope with this data
flood, computational approaches, web services, and databases have been
implemented to deal with issues such as data integration, visualization,
exploration, organization, scalability, and complexity. Nevertheless, as
the number of such sets increases, it is becoming more and more
difficult for an end user to know what the scope and focus of each
repository is and how redundant the information between them is. Several
repositories have a more general scope, while others focus on
specialized aspects, such as specific organisms or biological systems.
Unfortunately, many of these databases are self-contained or poorly
documented and maintained. For a clearer view, in this article we
provide a comprehensive categorization, comparison and evaluation of
such repositories for different bioentity interaction types. We discuss
most of the publicly available services based on their content, sources
of information, data representation methods, user-friendliness, scope
and interconnectivity, and we comment on their strengths and weaknesses.
We aim for this review to reach a broad readership varying from
biomedical beginners to experts and serve as a reference article in the
field of Network Biology.
Συγγραφείς:
Baltoumas, Fotis A.
Zafeiropoulou, Sofia
Karatzas, Evangelos and
Koutrouli, Mikaela
Thanati, Foteini
Voutsadaki, Kleanthi and
Gkonta, Maria
Hotova, Joana
Kasionis, Ioannis
Hatzis,
Pantelis
Pavlopoulos, Georgios A.
