Cellular network biology: Proteome-wide analysis of heterogeneous data

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This document discusses three topics: proteome analysis using mass spectrometry to identify proteins and modifications, network biology to build association networks between proteins, and text mining to extract biological information from literature to integrate diverse data sources and build networks. Mass spectrometry is used to analyze proteomes at large scale but has missing values, while networks identify enriched functions and show evolutionary conservation. Text mining extracts data from over 10,000 papers to integrate into networks due to the large number of databases with different formats. It uses natural language processing and co-mentioning to capture relationships beyond proteins from literature and other sources.

Science

Cellular network biology
Proteome-wide analysis of heterogeneous
data
Lars Juhl Jensen

Linding, Jensen, Ostheimer et al., Cell, 2007

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

von Mering et al., Nucleic Acids Research, 2005

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