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Bina Technologies Introduces Annotation Platform to Bring Scientific Context to NGS Data Sets Quickly

Bina Technologies today announced the early release of the Bina Annotation Platform, the newest addition to Bina’s highly scalable and accurate genomic analysis product suite. With this addition, Bina allows users to perform secondary analysis (alignment, variant calling) as well as annotation and filtering on their NGS datasets in an integrated, easy-to-use platform with unprecedented speed and scalability.

The Bina Annotation Platform is the fastest, most scalable annotation solution available on the market, empowering scientists to access more than 130 annotation features and search, filter, and annotate their variant files in a fraction of a second. Users can define and save custom and multi-level filters using any combination of important associations and functional databases available on the platform.

Typical NGS whole genome studies yield between 4-5 million variants. Because of the complexity and sheer amount of data, assigning biological meaning and extracting the relevant variants remains one of the primary challenges that biologists and clinical researchers face. Whereas many current annotation tools can’t process an entire whole human genome, the Bina Annotation Module can easily and quickly annotate complex whole genome data sets.

“The Bina Annotation platform provides a great way to comprehensively annotate sequence variants,” said Dr. Ekta Khurana, Yale University. “The user-interface is very intuitive and the process is very fast, allowing more downstream analyses in a fraction of the time required with other approaches.” Dr. Khurana, a research scientist in the Program in Computational Biology and Bioinformatics, is the primary author of a recent publication in Science on annotating human gene variants for cancer genomics applications.

Users can upload their NGS data analysis results or push them directly from Bina’s secondary analysis appliances to the cloud-based Bina Annotation Platform. The Platform then quickly provides current information about relevant variants using databases that are in active use by the scientific community, including HGMD, PGMD, ClinVar, COSMIC, dbNSFP, TRANSFAC, 1000 Genomes, and more. Once the annotation is complete, researchers can interact with their data in real-time, through filtering of all identified variants according to user selected annotation and data quality criteria. All this takes place in an intuitive and easy-to-use interface designed specifically for the clinical researcher.

“Bina’s Annotation Platform provides comprehensive annotation to NGS data with the most relevant scientific and clinical content. Its sub-second query response for WGS and WES (whole genome and whole exome) is unprecedented, definitely facilitating genome interpretation,” added Dr. Shashikant Kulkarni, Associate Professor, Pathology and Immunology and the Head of Clinical Genomics, Genomics and Pathology Services at Washington University School of Medicine

“Prior to Bina’s Annotation Platform, researchers had to wait days, if not weeks, to perform partial analysis on a whole human genome,” said Narges Bani Asadi, CEO of Bina Technologies. “Today, clinical researchers have the ability to bring meaning to their entire NGS data sets in under 60 minutes. Faster, smarter annotation takes us one step closer to our goal of bringing personalized medicine tools to academic and clinical researchers everywhere.”

The Bina Technologies team will be presenting the Bina Annotation Platform to the public this week at the Bio-IT World Expo from April 29th - May 1 in Boston, MA. They will be exhibiting at booth #260, and will present on April 29th at the Vendor Showcase.

To learn more about Bina’s Annotation Platform, please visit:

About Bina Technologies

Bina Technologies is defining the standards of high performance genomic analysis. Bina’s integrated, scalable, and comprehensive analysis platform empowers clinical and academic researchers to gain insight from their genomics data sets. Bina’s products dramatically decrease the complexity, time, and cost of the analysis, accelerating the science of personalized medicine.

Bina is an interdisciplinary team of engineers, computer scientists, and genomics scientists, revolutionizing human health and genomics research.

To learn more, visit:

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