Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao BiPrintsarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
BiPrints
Article . 2011
License: "In Copyright" Rights Statement
Data sources: BiPrints
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Publications at Bielefeld University
Article . 2011
License: "In Copyright" Rights Statement
it - Information Technology
Article . 2011 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 2011
Data sources: DBLP
versions View all 4 versions
addClaim

Data Warehouses in Bioinformatics: Integration of Molecular Biological Data

Authors: Kormeier, Benjamin; Hippe, Klaus; Hofestädt, Ralf;

Data Warehouses in Bioinformatics: Integration of Molecular Biological Data

Abstract

Abstract This paper surveys the area of biological data integration and data warehousing, which has become a major focus of the data integration research field in the last few decades. The challenges in biological data integration are caused by several factors such as the variety and amount of available data, the heterogeneity of the data in different sources, and the autonomy and different capabilities of the sources. This paper gives insight into a small selection of important biological databases and the problems in biological data integration. We would like to focus on data warehouses that have become a popular approach in bioinformatics and life sciences. We will also introduce major existing integration systems that have been developed such as SRS, DiscoveryLink, BioWarehouse and ONDEX. Finally, this paper presents an in-house data warehouse approach for biological data.

Country
Germany
Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!