| Chapter title |
Equipping Physiologists with an Informatics Tool Chest: Toward an Integerated Mitochondrial Phenome
|
|---|---|
| Chapter number | 93 |
| Book title |
Pharmacology of Mitochondria
|
| Published in |
Handbook of experimental pharmacology, January 2016
|
| DOI | 10.1007/164_2016_93 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-957311-3, 978-3-31-957313-7
|
| Authors |
Anders Olav Garlid, Jennifer S. Polson, Keith D. Garlid, Henning Hermjakob, Peipei Ping |
| Abstract |
Understanding the complex involvement of mitochondrial biology in disease development often requires the acquisition, analysis, and integration of large-scale molecular and phenotypic data. An increasing number of bioinformatics tools are currently employed to aid in mitochondrial investigations, most notably in predicting or corroborating the spatial and temporal dynamics of mitochondrial molecules, in retrieving structural data of mitochondrial components, and in aggregating as well as transforming mitochondrial centric biomedical knowledge. With the increasing prevalence of complex Big Data from omics experiments and clinical cohorts, informatics tools have become indispensable in our quest to understand mitochondrial physiology and pathology. Here we present an overview of the various informatics resources that are helping researchers explore this vital organelle and gain insights into its form, function, and dynamics. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 33% |
| Lecturer | 2 | 13% |
| Researcher | 2 | 13% |
| Student > Bachelor | 1 | 7% |
| Professor | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 3 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 27% |
| Computer Science | 3 | 20% |
| Engineering | 2 | 13% |
| Agricultural and Biological Sciences | 2 | 13% |
| Business, Management and Accounting | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 3 | 20% |