Aids research must tap into Big Data and Analytics

Big Data tools being developed for HIV infection, genome-wide studies, and HIV resistance testing

Aids research must tap into Big Data and Analytics

Let’s do a stocktaking of the research and progress in Aids research and the challenges facing it. A major problem faced by Aids researchers is that there is a data tsunami, which is often leaves the possibility of essential information getting missed. It’s like looking for a needle in a haystack. The information pouring in from all directions is voluminous and diverse. A search for HIV-related publications on PubMed yields thousands of journal articles, reports, etc.

This is not the end. The list has more than 40 studies added every day. With the advent of sophisticated monitoring devices, there is a data tsunami facing Aids research. The Solexa machine, for example, yields up to 100 billion bases in a single run. Data also pours in from genome-wide studies, HIV resistance testing, and epidemiological tracking.

Advanced analytics tools need to be developed to handle data, particularly genome-wide screens and scans for human genes that affect HIV replication. There are several data repositories but culling out relevant data may be a challenge. The NCBI (National Center for Biotechnology Information) has data on gene structure, scientific literature, DNA sequences, etc. There are other institutions as well collecting the data such as Stanford University HIV Drug Resistance Database (on HIV mutations and resistance to antiviral agents), the Los Alamos HIV Database. However, analysis is still a problem.

“It is not possible to even go through the information. Naturally, nobody is aware of the extent of literature on HIV. On the other hand, the data deluge keeps getting worse. It is now imperative to device tools to visualize and process the data in a user-friendly form. This is far more important than data collection,” said Shashank Dixit, CEO, Deskera, a global leader in cloud technology that has developed its own Big Data Analytics tool.

Tools are being developed to run through genome-wide screens and scans of human genes. The analytics sheds light on the context of the infections as well—a crucial element in Aids research. Three dimensional visualization can provide information in easy-to-assimilate form.

World Aids Day: HIV kills millions every year throughout the world

In 2015, 36.7 million people were infected with HIV, resulting in 1.1 million deaths. The epidemic has claimed 39 million lives globally since it was discovered. The disease has particularly hit the Third World the hardest. It is actively spreading with serious consequences for the society and economy. World Aids Day is the perfect occasion to take stock of the research and advances in the area.
With technology growing with every second, the day may not be far when Aids would no longer remain a deadly disease.

Posted by in Technology

Muqbil Ahmar is the Editor of Run Your Business Site and Technology Evangelist. He is also an environmentalist (greenubuntu), women rights advocate, critic, columnist, social media expert, blogger and a storyteller. With more than 10 years of experience in journalism, he looks at technology from the prism of society. Armed with an M.Phil in Science Policy Studies from JNU, he wants to bring about better understanding between technology and society to make the world a better place to live in.

Tags #AIDSDay #AIDSFreeGen #BigDataAnalytics #HIV #WorldAidsDay #WorldAidsDay2016 AIDS bigdata

Share This