Towards Biomedical Data Integration for Analyzing the Evolution of Cognition

Amrapali Zaveri; Katja Nowick; Jens Lehmann

Towards Biomedical Data Integration for Analyzing the Evolution of Cognition

Amrapali Zaveri, Katja Nowick, Jens Lehmann

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic

Abstract

Cognition is determined by function and interplay of several hundred if not thousand genes with a considerable overlap in the phenotypes and genes causing different cognitive diseases. We argue that these diseases should not be studied in isolation, but that data allowing to study them should be integrated. Ultimately, this will allow researchers to more easily answer questions, which would otherwise require time-consuming research. Specifically, we propose to use Linked Data publication, data integration and querying methods, which has been successfully used in other life science domains. In this initial effort, we converted 12 different datasets, integrate them and provide a first demonstration of the added value by showing how a set of relevant queries over the integrated data can be answered.

Original language	English
Title of host publication	Proceedings of Ontology and Data in Life Sciences Workshop (ODLS)
Publication status	Published - 2013
Externally published	Yes

Keywords

2013 zaveri nowick lehmann group_aksw sys:relevantFor:infai sys:relevantFor:bis MOLE cogevo

Access to Document

http://jens-lehmann.org/files/2013/odls_cogevo.pdf

Cite this

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title = "Towards Biomedical Data Integration for Analyzing the Evolution of Cognition",

abstract = "Cognition is determined by function and interplay of several hundred if not thousand genes with a considerable overlap in the phenotypes and genes causing different cognitive diseases. We argue that these diseases should not be studied in isolation, but that data allowing to study them should be integrated. Ultimately, this will allow researchers to more easily answer questions, which would otherwise require time-consuming research. Specifically, we propose to use Linked Data publication, data integration and querying methods, which has been successfully used in other life science domains. In this initial effort, we converted 12 different datasets, integrate them and provide a first demonstration of the added value by showing how a set of relevant queries over the integrated data can be answered.",

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AB - Cognition is determined by function and interplay of several hundred if not thousand genes with a considerable overlap in the phenotypes and genes causing different cognitive diseases. We argue that these diseases should not be studied in isolation, but that data allowing to study them should be integrated. Ultimately, this will allow researchers to more easily answer questions, which would otherwise require time-consuming research. Specifically, we propose to use Linked Data publication, data integration and querying methods, which has been successfully used in other life science domains. In this initial effort, we converted 12 different datasets, integrate them and provide a first demonstration of the added value by showing how a set of relevant queries over the integrated data can be answered.

KW - 2013 zaveri nowick lehmann group_aksw sys:relevantFor:infai sys:relevantFor:bis MOLE cogevo

M3 - Conference article in proceeding

BT - Proceedings of Ontology and Data in Life Sciences Workshop (ODLS)

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