| Chapter title |
PANTHER pathway: an ontology-based pathway database coupled with data analysis tools.
|
|---|---|
| Chapter number | 7 |
| Book title |
Protein Networks and Pathway Analysis
|
| Published in |
Methods in molecular biology, July 2009
|
| DOI | 10.1007/978-1-60761-175-2_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-60761-174-5, 978-1-60761-175-2
|
| Authors |
Huaiyu Mi, Paul Thomas, Mi, Huaiyu, Thomas, Paul |
| Abstract |
The availability of whole genome sequences from various model organisms and increasing experimental data and literatures stimulated the evolution of a systems approach for biological research. The development of computational tools and algorithms to study biological pathway networks has made great progress in helping analyze research data. Pathway databases become an integral part of such an approach. This chapter first discusses how biological knowledge is represented, particularly the importance of ontologies or standards in systems biology research. Next, we use PANTHER Pathway as an example to illustrate how ontologies and standards play a role in data modeling, data entry, and data display. Last, we describe the usage of such systems. We also describe the computational tools that utilize PANTHER Pathway information to analyze gene expression experimental data. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| Brazil | 1 | <1% |
| United Kingdom | 1 | <1% |
| South Africa | 1 | <1% |
| Spain | 1 | <1% |
| Luxembourg | 1 | <1% |
| Unknown | 338 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 90 | 26% |
| Researcher | 54 | 16% |
| Student > Master | 41 | 12% |
| Student > Bachelor | 24 | 7% |
| Student > Doctoral Student | 17 | 5% |
| Other | 46 | 13% |
| Unknown | 74 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 100 | 29% |
| Agricultural and Biological Sciences | 76 | 22% |
| Medicine and Dentistry | 19 | 5% |
| Neuroscience | 11 | 3% |
| Computer Science | 11 | 3% |
| Other | 38 | 11% |
| Unknown | 91 | 26% |