Knowledge Discovery in Biological Databases for Revealing Candidate Genes Linked to Complex Phenotypes

Keywan Hassani-Pak, Christopher Rawlings
  • January 2017, De Gruyter
  • DOI: 10.1515/jib-2016-0002

Review of bioinformatics tools and databases used in genotype-to-phenotype research

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.

Why is it important?

This review helps to inform biologists and bioinformatics tool developers about existing databases and resources for candidate gene discovery.

Perspectives

Keywan Hassani-Pak (Author)

This publication provides a good overview of biological databases that we use to build knowledge networks/graphs for KnetMiner (Hassani-Pak et al, 2016).

The following have contributed to this page: Keywan Hassani-Pak

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