Researchers at Cincinnati Children’s Hospital Medical Center have developed a user-friendly, integrated platform for analyzing the “big data” produced by NGS.

Recently next-generation sequencing (NGS)-based methods for analyzing gene expression have proliferated so rapidly that, according to the authors of a new study published in Genome Biology, many biomedical research groups lack the expertise to handle the resulting gargantuan datasets. The authors, scientists from Cincinnati Children’s Hospital Medical Center, have developed a new user-friendly platform called BioWardrobe for analyzing genomic big data.

“Although biologists can perform experiments and obtain the data, they often lack the programming expertise required to perform computational data analysis,” says Artem Barski, PhD, senior author and assistant professor in the Divisions of Allergy and Immunology and Human Genetics at Cincinnati Children’s. “BioWardrobe aims to empower researchers by bridging this gap between data and knowledge.”

Barski and his colleague Andrey Kartashov, MS, hope that BioWardrobe will reduces issues that arise though a lack of expertise in computational data analysis, such as data inaccessibility, or delays in applying modern sequencing techniques to studies of human health and disease.

“Huge amounts of published data have been deposited in public databases, such as Gene Expression Omnibus or Short Read Archive, but remain inaccessible to majority of researchers due to lack of bioinformatics expertise,” Kartashov said. “BioWardrobe allows biologists to analyze the data without having to learn how to program.”