Chapter title |
Biolog Phenotype MicroArrays for Phenotypic Characterization of Microbial Cells.
|
---|---|
Chapter number | 10 |
Book title |
Environmental Microbiology
|
Published in |
Methods in molecular biology, January 2014
|
DOI | 10.1007/978-1-62703-712-9_10 |
Pubmed ID | |
Book ISBNs |
978-1-62703-711-2, 978-1-62703-712-9
|
Authors |
Mackie AM, Hassan KA, Paulsen IT, Tetu SG, Amanda M. Mackie, Karl A. Hassan, Ian T. Paulsen, Sasha G. Tetu, Mackie, Amanda M, Hassan, Karl A, Paulsen, Ian T, Tetu, Sasha G, Mackie, Amanda M., Hassan, Karl A., Paulsen, Ian T., Tetu, Sasha G. |
Editors |
Ian T. Paulsen, Andrew J. Holmes |
Abstract |
Biolog Phenotype MicroArrays for microorganisms provide a high-throughput method for the global analysis of microbial growth phenotypes. Using a colorimetric reaction that is indicative of respiration, these microplate assays measure the response of an individual strain or microbial community to a large and diverse range of nutrients and chemicals. Phenotype MicroArrays have been used to study gene function and to improve genome annotation in single microorganisms and for physiological profiling of bacterial communities. The microplate system can be used to obtain a comprehensive overview of metabolic capability, or it can be tailored, through the use of subsets of plates, to address specific research needs. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
New Zealand | 1 | 2% |
Unknown | 60 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 11 | 18% |
Student > Bachelor | 11 | 18% |
Researcher | 10 | 16% |
Student > Ph. D. Student | 7 | 11% |
Student > Doctoral Student | 3 | 5% |
Other | 6 | 10% |
Unknown | 13 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 18 | 30% |
Agricultural and Biological Sciences | 16 | 26% |
Immunology and Microbiology | 6 | 10% |
Chemical Engineering | 1 | 2% |
Nursing and Health Professions | 1 | 2% |
Other | 3 | 5% |
Unknown | 16 | 26% |