Dovetail Genomics, a leading innovator in genomic solutions, today announced an expanded comprehensive analysis solution for somatic variation detection, addressing the challenge of identifying structural variants (SVs) using NGS platforms. The solution offers ultra-sensitive discovery of SVs at base-pair resolution down to 1% variant allele frequency (VAF), and biologically meaningful interpretation of SVs through AI-driven tools in a powerful, cloud-based informatics platform. The NGS-based solution is fully compatible with common sample types including blood, tissue, cells and FFPE.

The platform solution includes a new analysis pipeline that combines proprietary and the latest open-source tools to detect SVs, SNVs, InDels, and CNVs from a single Dovetail linked-read data set. In addition to standard output files, researchers receive an interpretation-ready report that prioritizes variants based on their potential relevance in cancer. Further exploration of the data is supported with interactive visualization tools for deeper insights.

“This breakthrough will empower cancer researchers working with FFPE, a notoriously challenging sample type, to uncover previously undetectable genetic variations with unprecedented precision.” said Matt Easterday, CEO of Dovetail Genomics. “Our solution now has the ability to call somatic variants with extremely high accuracy and recall including large structural rearrangements.”

To further enhance biological insight, Dovetail has integrated an AI-driven tool into the pipeline that connects SV calls with their gene-level implications, helping researchers quickly identify potential cancer drivers and pathways of interest.

“We’re committed to providing a sample-to-insight solution that enables researchers to achieve high-quality results with minimal computational training,” said Zack Sanborn, Senior Director of Computational Biology and Bioinformatics at Dovetail Genomics. “As part of this commitment, our integration of AI-driven tools is enabling SV calls to be rapidly connected with their biological implications, thereby transforming how cancer researchers interpret their data. We’ve packaged the full solution into a cloud-deployed portal, ensuring that the power of advanced genomics is readily accessible to everyone, regardless of their computational expertise.”

The FFPE-compatible service also includes a unique RNA-seq workflow optimized for highly fragmented samples, enabling high-quality fusion detection and gene expression profiling. This provides researchers with both a more complete picture of cancer genomes and orthogonal confirmation of key findings.

Source – PR Newswire

Dovetail Genomics, a leading innovator in genomic solutions, today announced an expanded comprehensive analysis solution for somatic variation detection, addressing the challenge of identifying structural variants (SVs) using NGS platforms. The solution offers ultra-sensitive discovery of SVs at base-pair resolution down to 1% variant allele frequency (VAF), and biologically meaningful interpretation of SVs through AI-driven tools in a powerful, cloud-based informatics platform. The NGS-based solution is fully compatible with common sample types including blood, tissue, cells and FFPE.

The platform solution includes a new analysis pipeline that combines proprietary and the latest open-source tools to detect SVs, SNVs, InDels, and CNVs from a single Dovetail linked-read data set. In addition to standard output files, researchers receive an interpretation-ready report that prioritizes variants based on their potential relevance in cancer. Further exploration of the data is supported with interactive visualization tools for deeper insights.

“This breakthrough will empower cancer researchers working with FFPE, a notoriously challenging sample type, to uncover previously undetectable genetic variations with unprecedented precision.” said Matt Easterday, CEO of Dovetail Genomics. “Our solution now has the ability to call somatic variants with extremely high accuracy and recall including large structural rearrangements.”

To further enhance biological insight, Dovetail has integrated an AI-driven tool into the pipeline that connects SV calls with their gene-level implications, helping researchers quickly identify potential cancer drivers and pathways of interest.

“We’re committed to providing a sample-to-insight solution that enables researchers to achieve high-quality results with minimal computational training,” said Zack Sanborn, Senior Director of Computational Biology and Bioinformatics at Dovetail Genomics. “As part of this commitment, our integration of AI-driven tools is enabling SV calls to be rapidly connected with their biological implications, thereby transforming how cancer researchers interpret their data. We’ve packaged the full solution into a cloud-deployed portal, ensuring that the power of advanced genomics is readily accessible to everyone, regardless of their computational expertise.”

The FFPE-compatible service also includes a unique RNA-seq workflow optimized for highly fragmented samples, enabling high-quality fusion detection and gene expression profiling. This provides researchers with both a more complete picture of cancer genomes and orthogonal confirmation of key findings.

Source – PR Newswire

Submit a Post to the Blog

SUBMIT CONTENT

Subscribe to the RNA-Seq Blog

RNA-Seq Products & Services