Bina Technologies, the genomic big data science company accelerating personalized medicine, today announced the general availability of its all-new RNA-Seq analysis capabilities. This new application delivers fast, accurate and scalable analysis of RNA-Seq datasets on top of the company’s Bina Genomic Analysis Platform.
Recent advances in utilizing Next-Gen Sequencing (NGS) for transcriptomics have proved to be highly precise compared to traditional microarray methods. To take full advantage of these developments, the Bina Platform has built-in capabilities that process up to 1,000 RNA-Seq samples per month, a considerable upgrade in scalability and speed of analysis over current solutions. Now fully integrated with whole genome, exome and RNA-Seq capabilities, the Bina Genomic Analysis Platform delivers the most complete end-to-end solution for high-throughput genomic analysis available today.
"Today’s traditional methods for handling RNA-Seq suffer from low quality and slow turnaround times," said
The standard Bina RNA-Seq workflow includes several widely-adopted, open-source software tools such as TopHat2, Bowtie2, and Cufflinks. It also includes support for multiple sample merging, an important feature than enhances transcript identification.
Another significant, new feature of the Bina Platform is its compatibility with several newer versions of the Genomic Analysis Toolkit (GATK) suite of software tools developed by
"Genomic analysis is complex, and the stakes are high," said Asadi. "For us, the goal has always been to deliver a fully integrated and robust solution. We’re confident that the Bina Platform will help significantly accelerate genomic analysis and empower users to gain even greater insights into disease causes."
In addition to this announcement,
To begin your own ‘Test Drive’ today, please visit: http://www.binatechnologies.com/test-drive-bina-platform.
To learn more about Bina Technologies, please visit: http://binatechnologies.com.
About Bina Technologies
Founded in 2011,
We are a team of data scientists, bioinformaticians, software developers and high performance computing experts working in harmony in
Read the full story at http://www.prweb.com/releases/2013/10/prweb11255035.htm
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