Cloud Computing Software Greatly Increases RNA Analysis

Researchers have developed new software that greatly improves the speed at which scientists can analyze sequencing RNA data.

RNA sequencing is used to compare differences in gene expression to identify those genes that switched on or off when, for instance, a particular disease is present. However, sequencing instruments can produce billions of sequences per day, which can be time-consuming and costly to analyze. The software, known as Myrna, uses "cloud computing,” an Internet-based method of sharing computer resources. Faster, cost-effective analysis of gene expression could become a beneficial tool in understanding the genetic causes of disease. The findings are published in August 11, 2010, in the journal Genome Biology. The Myrna software is available for free download (please see related linka below).

Cloud computing bundles together the processing power of the individual computers using the Internet. A number of firms with large computing centers including, Amazon and Microsoft, rent unused computers over the Internet for a fee.

"Cloud computing makes economic sense because cloud vendors are very efficient at running and maintaining huge collections of computers. Researchers struggling to keep pace with their sequencing instruments can use the cloud to scale up their analyses while avoiding the headaches associated with building and running their own computer center,” commented lead author, Dr. Ben Langmead, a research associate in the Johns Hopkins Bloomberg School of Public Health (Baltimore, MD, USA) department of biostatistics. "With Myrna, we tried to make it easy for researchers doing RNA sequencing to reap these benefits.”

To evaluate Myrna, Dr. Langmead and colleagues Kasper Hansen, Ph.D., a postdoctoral fellow, and Jeffrey T. Leek, Ph.D., senior author of the study and assistant professor in the department of biostatistics, employed the software to process a large collection of publicly available RNA sequencing data. Processing time and storage space were rented from Amazon Web Services. According to the study, Myrna calculated differential expression from 1.1 billion RNA sequencing reads in less than two hours at cost of about US$66.

"Biological data in many experiments--from brain images to genomic sequences--can now be generated so quickly that it often takes many computers working simultaneously to perform statistical analyses,” said Dr. Leeks. "The cloud computing approach we developed for Myrna is one way that statisticians can quickly build different models to find the relevant patterns in sequencing data and connect them to different diseases. Although Myrna is designed to analyze next-generation sequencing reads, the idea of combining cloud computing with statistical modeling may also be useful for other experiments that generate massive amounts of data.”

Related Links:
Johns Hopkins Bloomberg School of Public Health
Myrna Software