[PDF.40uq] Ontologies for Bioinformatics (Computational Molecular Biology)
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Ontologies for Bioinformatics (Computational Molecular Biology)
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Ontologies for Bioinformatics (Computational Kenneth Baclawski, Tianhua Niu epub Ontologies for Bioinformatics (Computational Kenneth Baclawski, Tianhua Niu pdf download Ontologies for Bioinformatics (Computational Kenneth Baclawski, Tianhua Niu pdf file Ontologies for Bioinformatics (Computational Kenneth Baclawski, Tianhua Niu audiobook Ontologies for Bioinformatics (Computational Kenneth Baclawski, Tianhua Niu book review Ontologies for Bioinformatics (Computational Kenneth Baclawski, Tianhua Niu summary
| #3750188 in Books | 2005-09-23 | Original language:English | PDF # 1 | 9.00 x1.00 x7.00l,2.05 | File type: PDF | 440 pages||4 of 4 people found the following review helpful.| Title can mislead: Greater focus on methods than content of ontologies|By George J. Shannon|I was disappointed in this book in the lack of depth or breadth on a couple of key areas as follows:
Item 1 - It appeared to me that ontologies were not explained in sufficient detail to help "newbies" determine exactly why a specific ontology was created and the specific func|||"Given the current explosion of biological data in multiple dimensions, it is time to think systematically about strategies and techniques to not only store, but also integrate and represent them in knowledge-oriented ways. Ontology is the solution, and this
Recent advances in biotechnology, spurred by the Human Genome Project, have resulted in the accumulation of vast amounts of new data. Ontologies -- computer-readable, precise formulations of concepts (and the relationship among them) in a given field -- are a critical framework for coping with the exponential growth of valuable biological data generated by high-output technologies. This book introduces the key concepts and applications of ontologies and ontology langu...
You can specify the type of files you want, for your device.Ontologies for Bioinformatics (Computational Molecular Biology) | Kenneth Baclawski, Tianhua Niu. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.