Title |
Eureka-DMA: an easy-to-operate graphical user interface for fast comprehensive investigation and analysis of DNA microarray data
|
---|---|
Published in |
BMC Bioinformatics, February 2014
|
DOI | 10.1186/1471-2105-15-53 |
Pubmed ID | |
Authors |
Sagi Abelson |
Abstract |
In the past decade, the field of molecular biology has become increasingly quantitative; rapid development of new technologies enables researchers to investigate and address fundamental issues quickly and in an efficient manner which were once impossible. Among these technologies, DNA microarray provides methodology for many applications such as gene discovery, diseases diagnosis, drug development and toxicological research and it has been used increasingly since it first emerged. Multiple tools have been developed to interpret the high-throughput data produced by microarrays. However, many times, less consideration has been given to the fact that an extensive and effective interpretation requires close interplay between the bioinformaticians who analyze the data and the biologists who generate it. To bridge this gap and to simplify the usability of such tools we developed Eureka-DMA - an easy-to-operate graphical user interface that allows bioinformaticians and bench-biologists alike to initiate analyses as well as to investigate the data produced by DNA microarrays. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Norway | 1 | 33% |
Germany | 1 | 33% |
United States | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 6% |
Netherlands | 1 | 3% |
Unknown | 31 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 26% |
Student > Bachelor | 7 | 21% |
Student > Master | 5 | 15% |
Student > Ph. D. Student | 3 | 9% |
Professor > Associate Professor | 2 | 6% |
Other | 4 | 12% |
Unknown | 4 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 11 | 32% |
Computer Science | 9 | 26% |
Biochemistry, Genetics and Molecular Biology | 4 | 12% |
Psychology | 2 | 6% |
Physics and Astronomy | 1 | 3% |
Other | 3 | 9% |
Unknown | 4 | 12% |