Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve researchers' ability to detect complex genetic alterations in cancer genomes.

and prep along with sequencing are important steps. But to fully leverage these upfront efforts, a robust toolkit is needed on the backend to maximize data analysis and more fully capture ...

Over the last 10 years, breakthroughs in understanding the genetic instructions passed from parent to offspring have put ...

Oxford Nanopore Technologies (ONT) sequencing has witnessed significant progress in recent years, becoming a key player in the genomics field. As the technology matures, so does the bioinformatics ...

“Challenges related to analysis and interpretation of sequencing data are still one of the most common bottlenecks that researchers face when adopting new next-generation sequencing ...

Sokhansanj, PhD, an assistant research professor in Drexel’s College of Engineering who led development of the computer ... to analyze sales data. Via a textual analysis, the program can quickly home ...

Researchers introduce a method for analyzing RNA sequencing ... analysis. The tools are publicly available and can be accessed via Github. "With this toolkit, we are employing this more diverse ...

The integration of AI and ML is significantly transforming the landscape of whole genome sequencing (WGS) by enhancing data analysis, improving accuracy, and facilitating personalized medicine.

By combining their technologies, the duo is aiming to streamline that process of post-sequencing data analysis. The collaboration will integrate the DNAnexus platform with Twist’s NGS ...

Sokhansanj, PhD, an assistant research professor in Drexel's College of Engineering who led development of the computer ... sequencing data being collected has strained standard analysis methods ...