Chapter title |
Bioinformatics and Microarray Data Analysis on the Cloud.
|
---|---|
Chapter number | 236 |
Book title |
Microarray Data Analysis
|
Published in |
Methods in molecular biology, April 2015
|
DOI | 10.1007/7651_2015_236 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3172-9, 978-1-4939-3173-6
|
Authors |
Calabrese, Barbara, Cannataro, Mario, Barbara Calabrese, Mario Cannataro |
Abstract |
High-throughput platforms such as microarray, mass spectrometry, and next-generation sequencing are producing an increasing volume of omics data that needs large data storage and computing power. Cloud computing offers massive scalable computing and storage, data sharing, on-demand anytime and anywhere access to resources and applications, and thus, it may represent the key technology for facing those issues. In fact, in the recent years it has been adopted for the deployment of different bioinformatics solutions and services both in academia and in the industry. Although this, cloud computing presents several issues regarding the security and privacy of data, that are particularly important when analyzing patients data, such as in personalized medicine. This chapter reviews main academic and industrial cloud-based bioinformatics solutions; with a special focus on microarray data analysis solutions and underlines main issues and problems related to the use of such platforms for the storage and analysis of patients data. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 9% |
Unknown | 20 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 18% |
Student > Ph. D. Student | 3 | 14% |
Student > Master | 3 | 14% |
Student > Bachelor | 3 | 14% |
Unspecified | 2 | 9% |
Other | 3 | 14% |
Unknown | 4 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 5 | 23% |
Computer Science | 4 | 18% |
Unspecified | 2 | 9% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Social Sciences | 1 | 5% |
Other | 2 | 9% |
Unknown | 7 | 32% |