Chapter title |
The MIntAct Project and Molecular Interaction Databases.
|
---|---|
Chapter number | 3 |
Book title |
Data Mining Techniques for the Life Sciences
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3572-7_3 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3570-3, 978-1-4939-3572-7
|
Authors |
Luana Licata, Sandra Orchard |
Editors |
Oliviero Carugo, Frank Eisenhaber |
Abstract |
Molecular interaction databases collect, organize, and enable the analysis of the increasing amounts of molecular interaction data being produced and published as we move towards a more complete understanding of the interactomes of key model organisms. The organization of these data in a structured format supports analyses such as the modeling of pairwise relationships between interactors into interaction networks and is a powerful tool for understanding the complex molecular machinery of the cell. This chapter gives an overview of the principal molecular interaction databases, in particular the IMEx databases, and their curation policies, use of standardized data formats and quality control rules. Special attention is given to the MIntAct project, in which IntAct and MINT joined forces to create a single resource to improve curation and software development efforts. This is exemplified as a model for the future of molecular interaction data collation and dissemination. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 32% |
Student > Bachelor | 3 | 16% |
Student > Ph. D. Student | 3 | 16% |
Student > Master | 2 | 11% |
Lecturer | 1 | 5% |
Other | 2 | 11% |
Unknown | 2 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 6 | 32% |
Computer Science | 5 | 26% |
Biochemistry, Genetics and Molecular Biology | 4 | 21% |
Medicine and Dentistry | 1 | 5% |
Chemistry | 1 | 5% |
Other | 0 | 0% |
Unknown | 2 | 11% |