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Bioinformatics of cellular processes
The document discusses the bioinformatics of cellular processes, focusing on protein networks, signaling, and regulation through methods like data integration and literature mining. It highlights the dynamics of protein interactions, the role of various proteins in cell cycle regulation, and benchmarking for computational network predictions. Additionally, it acknowledges contributions from various researchers and tools in advancing understanding in this field.
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Bioinformatics of cellular processes
- 1. Bioinformatics of cellularprocesses Protein networks, signaling and regulation Lars Juhl Jensen EMBL Heidelberg
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- 64. 27% of dynamicproteins
- 65. 8% of staticproteins
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- 67. 44% of dynamicproteins
- 68. 29% of staticproteins
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- 76. Acknowledgments The STRINGdatabase Christian von Mering Michael Kuhn Berend Snel Martijn Huynen Sean Hooper Samuel Chaffron Julien Lagarde Mathilde Foglierini Peer Bork Cell-cycle regulation Ulrik de Lichtenberg Thomas Skøt Jensen Søren Brunak Peer Bork The NetworKIN method Rune Linding Gerard Ostheimer Francesca Diella Karen Colwill Jing Jin Pavel Metalnikov Vivian Nguyen Adrian Pasculescu Jin Gyoon Park Leona D. Samson Rob Russell Peer Bork Michael Yaffe Tony Pawson