Chapter title |
Integrating Omics data for signaling pathways, interactome reconstruction, and functional analysis.
|
---|---|
Chapter number | 19 |
Book title |
Bioinformatics for Omics Data
|
Published in |
Methods in molecular biology, January 2011
|
DOI | 10.1007/978-1-61779-027-0_19 |
Pubmed ID | |
Book ISBNs |
978-1-61779-026-3, 978-1-61779-027-0
|
Authors |
Tieri P, de la Fuente A, Termanini A, Franceschi C, Paolo Tieri, Alberto de la Fuente, Alberto Termanini, Claudio Franceschi, Tieri, Paolo, de la Fuente, Alberto, Termanini, Alberto, Franceschi, Claudio |
Editors |
Bernd Mayer |
Abstract |
Omics data and computational approaches are today providing a key to disentangle the complex architecture of living systems. The integration and analysis of data of different nature allows to extract meaningful representations of signaling pathways and protein interactions networks, helpful in achieving an increased understanding of such intricate biochemical processes. We here describe a general workflow and relative hurdles in integrating online Omics data and analyzing reconstructed representations by using the available computational platforms. |
X Demographics
Geographical breakdown
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Netherlands | 2 | 5% |
United States | 2 | 5% |
Malaysia | 1 | 2% |
Russia | 1 | 2% |
Unknown | 37 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 14 | 33% |
Student > Ph. D. Student | 10 | 23% |
Professor | 4 | 9% |
Other | 4 | 9% |
Professor > Associate Professor | 4 | 9% |
Other | 6 | 14% |
Unknown | 1 | 2% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 28 | 65% |
Computer Science | 4 | 9% |
Medicine and Dentistry | 3 | 7% |
Environmental Science | 2 | 5% |
Biochemistry, Genetics and Molecular Biology | 2 | 5% |
Other | 2 | 5% |
Unknown | 2 | 5% |