Computational Protein Localization Prediction: Topological Models of Transmembrane Proteins for Localization Prediction
Stefan Maetschke
[PDF.si91] Computational Protein Localization Prediction: Topological Models of Transmembrane Proteins for Localization Prediction Rating: 3.97 (560 Votes)
Computational Protein Localization Prediction: Stefan Maetschke epub Computational Protein Localization Prediction: Stefan Maetschke pdf download Computational Protein Localization Prediction: Stefan Maetschke pdf file Computational Protein Localization Prediction: Stefan Maetschke audiobook Computational Protein Localization Prediction: Stefan Maetschke book review Computational Protein Localization Prediction: Stefan Maetschke summary | 2009-03-20 | Original language:English | 8.66 x.64 x5.91l, | File type: PDF | 280 pages||About the Author|Stefan Maetschke received a Ph.D. degree in Computer Science from the University of Queensland in 2007. Presently, he is a researcher at the Institute for Molecular Bioscience in Brisbane, Australia and studies computational methods for protein
Proteins are distributed to the organelles of the cell by a highly complex sorting machinery. Since experimental localization techniques are time consuming and expensive, various computational techniques to predict the subcellular localization of proteins have been developed. This book describes the biological signals and mechanisms that guide protein localization, and the computational methods employed for localization prediction. The focus is thereby on transmembrane p...
You can specify the type of files you want, for your device.Computational Protein Localization Prediction: Topological Models of Transmembrane Proteins for Localization Prediction | Stefan Maetschke. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.
