Gene association networks - Large-scale integration of data and text

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This document discusses how gene association networks are created by integrating large amounts of genomic data and text from many databases. Researchers develop parsers and mapping files to combine information about genes from various sources, which may have different formats and identifiers. They also use text mining to extract gene and protein associations from literature. The resulting association networks provide a comprehensive view of functional relationships between genes and are made available through online resources like STRING-DB.

Science

Gene association networks
Large-scale integration of data and
text
Lars Juhl Jensen

Korbel et al., Nature Biotechnology, 2004

Letunic & Bork, Trends in Biochemical Sciences, 2008

von Mering et al., Nucleic Acids Research, 2005

Franceschini et al., Nucleic Acids Research, 2013

Szklarczyk et al., Nucleic Acids Research, 2015string-db.org

Acknowledgments
Damian Szklarczyk
Michael Kuhn
Andrea Franceschini
Milan Simonovic
Alexander Roth
Sune Pletscher-Frankild
John “Scooter” Morris
Christian von Mering
Peer Bork

Unacknowledgments
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