Featured Research

from universities, journals, and other organizations

Free online software helps speed up genetic discoveries

Date:
March 11, 2014
Source:
American Technion Society
Summary:
Microarray analysis -- a complex technology commonly used in many applications such as discovering genes, disease diagnosis, drug development and toxicological research -- has just become easier and more user-friendly. Scientists have created free software that makes detection of genetic components of disease faster and easier; could help speed up genetic discoveries.

Microarray analysis -- a complex technology commonly used in many applications such as discovering genes, disease diagnosis, drug development and toxicological research -- has just become easier and more user-friendly. A new advanced software program called Eureka-DMA provides a cost-free, graphical interface that allows bioinformaticians and bench-biologists alike to initiate analyses, and to investigate the data produced by microarrays. The program was developed by Ph.D. student Sagi Abelson of the Rappaport Faculty of Medicine at the Technion-Israel Institute of Technology in Haifa, Israel.

Related Articles


DNA microarray analysis, a high-speed method by which the expression of thousands of genes can be analyzed simultaneously, was invented in the late 1980s and developed in the 1990s. Genetic researchers used a glass slide with tiny dots of copies of DNA to test match genes they were trying to identify. Because the array of dots was so small, it was called a "microarray." There is a strong correlation between the field of molecular biology and medical research, and microarray technology is used routinely in the area of cancer research and other epidemiology studies. Many research groups apply it to detect genetic variations between biological samples and information about aberrant gene expression levels can be used in what is called "personalized medicine." This includes customized approaches to medical care, including finding new drugs for gene targets where diseases have genetic causes and potential cures are based on an individual's aberrant gene's signal.

An article written by Abelson published in the current issue of BMC Bioinformatics (2014,15:53) describes the new software tool and provides examples of its uses.

"Eureka-DMA combines simplicity of operation and ease of data management with the rapid execution of multiple task analyses," says Abelson. "This ability can help researchers who have less experience in bioinformatics to transform the high throughput data they generate into meaningful and understandable information."

Eureka-DMA has a distinct advantage over other software programs that only work "behind the scenes" and provide only a final output. It provides users with an understanding of how their actions influence the outcome throughout all the data elucidation steps, keeping them connected to the data, and enabling them to reach optimal conclusions.

"It is very gratifying to see the insightful initiative of Sagi Abelson, a leading 'out-of-the-box' thoughtful Technion doctorate student whom I have had the privilege of supervising," said Prof. Karl Skorecki, the Director of the Rappaport Family Institute for Research in the Medical Sciences at the Technion Faculty of Medicine and Director of Medical and Research Development at the Rambam Health Care Campus. "Over and above his outstanding PhD thesis research project on cancer stem cells, Sagi has developed -- on his own -- a user-friendly computer-based graphical interface for health and biological research studies. Eureka-DMA enables users to easily interpret massive DNA expression data outputs, empowering researchers (and in the future, clinicians) to generate new testable hypotheses with great intuitive ease, and to examine complex genetic expression signatures of genes that provide information relevant to health and disease conditions. This was enabled by combining outstanding insight and expertise in biological and computer sciences, demonstrating the unique multidisciplinary strengths and intellectual freedom that fosters creative innovation at the Technion."

According to Abelson, Eureka-DMA was programmed in MATLAB, a high-level language and interactive environment for numerical computation, visualization, and programming. Advanced users of MATLAB can analyze data, develop algorithms, and create models and applications to explore multiple hypotheses and reach solutions faster than with spreadsheets or traditional software. Eureka-DMA uses many of MATLAB's toolbox features to provide ways to search for enriched pathways and genetic terms and then combines them with other relevant features.

Raw data input is through Windows Excel or text files. This, says Abelson, spares the user from dealing with multiple and less common microarray files received by different manufacturers. Results can then be exported into a 'txt' file format,' or Windows Excel, making Eureka-DMA a unified and flexible platform for microarray data analysis, interpretation and visualization. It can also be used as a fast validation tool for results obtained by different methods.

Eureka-DMA loads and exports genetic data, "normalizes" raw data, filters non-relevant data, and enables pathway enrichment analysis for mapping genes on cellular pathways. The user can browse through the enriched pathways and create an illustration of the pathway with the differentially expressed genes highlighted.

After identifying the differentially expressed genes, biological meaning is ascribed via the software so that the identification of significant co-clustered genes with similar properties -- cellular components, a biological process, or a molecular function -- can be achieved.

Eureka-DMA software is freely available for academic users and can be downloaded at http://blue-meduza.org/Eureka-DMA


Story Source:

The above story is based on materials provided by American Technion Society. Note: Materials may be edited for content and length.


Journal Reference:

  1. Sagi Abelson. Eureka-DMA: an easy-to-operate graphical user interface for fast comprehensive investigation and analysis of DNA microarray data. BMC Bioinformatics, 2014; 15 (1): 53 DOI: 10.1186/1471-2105-15-53

Cite This Page:

American Technion Society. "Free online software helps speed up genetic discoveries." ScienceDaily. ScienceDaily, 11 March 2014. <www.sciencedaily.com/releases/2014/03/140311141459.htm>.
American Technion Society. (2014, March 11). Free online software helps speed up genetic discoveries. ScienceDaily. Retrieved December 22, 2014 from www.sciencedaily.com/releases/2014/03/140311141459.htm
American Technion Society. "Free online software helps speed up genetic discoveries." ScienceDaily. www.sciencedaily.com/releases/2014/03/140311141459.htm (accessed December 22, 2014).

Share This


More From ScienceDaily



More Computers & Math News

Monday, December 22, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Can Bitcoin Survive 2015?

Can Bitcoin Survive 2015?

Newsy (Dec. 22, 2014) Bitcoin's stock has tumbled significantly this year, but more companies now accept it, leading supporters and critics alike to weigh in on its future. Video provided by Newsy
Powered by NewsLook.com
Touch-Free Smart Phone Empowers Mobility-Impaired

Touch-Free Smart Phone Empowers Mobility-Impaired

Reuters - Innovations Video Online (Dec. 21, 2014) A touch-free phone developed in Israel enables the mobility-impaired to operate smart phones with just a movement of the head. Suzannah Butcher reports. Video provided by Reuters
Powered by NewsLook.com
Building Google Into Cars

Building Google Into Cars

Reuters - Business Video Online (Dec. 19, 2014) Google's next Android version could become the standard that'll power your vehicle's entertainment and navigation features, Reuters has learned. Fred Katayama reports. Video provided by Reuters
Powered by NewsLook.com
After Sony Hack, What's Next?

After Sony Hack, What's Next?

Reuters - US Online Video (Dec. 19, 2014) The hacking attack on Sony Pictures has U.S. government officials weighing their response to the cyber-attack. Linda So reports. Video provided by Reuters
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:

Strange & Offbeat Stories


Space & Time

Matter & Energy

Computers & Math

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile: iPhone Android Web
Follow: Facebook Twitter Google+
Subscribe: RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins