What is it about?
Biological interpretation of high-throughput experimental data can be seen as a knowledge discovery challenge. But which types of biological knowledge should be considered? Here we review different types of information that we find useful for genotype-to-phenotype discovery, and describe approaches for integrating and mining such heterogeneous information.
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Why is it important?
This review helps to inform biologists and bioinformatics tool developers about existing databases and resources for candidate gene discovery.
Perspectives
This publication provides a good overview of biological databases that we use to build knowledge networks/graphs for KnetMiner (Hassani-Pak et al, 2016).
Keywan Hassani-Pak
Read the Original
This page is a summary of: Knowledge Discovery in Biological Databases for Revealing Candidate Genes Linked to Complex Phenotypes, January 2017, De Gruyter,
DOI: 10.1515/jib-2016-0002.
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