Sanger sequencing is the unsung workhorse of molecular biology, one whose value has long been undermined by the tedious nature of processing its data. Converting files of raw sequencing data into a ...

An individual’s genome is identifiable. But datasets of RNA sequences from single cells are like a blurry photocopy of the genome. The sequence numbers are small, the data are noisy, and the sequences ...

Engineers at the University of California have developed a new data structure and compression technique that enables the ...

A streamlined, automated process helps scientists coordinate site-ready production-level whole genome sequencing results.

Much like software and data analytics reshaped industries like finance and retail, a similar transformation is now creating a new landscape for investors in medicine. Genomics stands at the forefront ...

The Next Generation Sequencing (NGS) field has been in constant flux since a wave of newcomers entered the field several years ago that changed the game. The startups offered sequencing users new ...

NGS enables the in-depth analysis of the genome and the identification and investigation of disease-associated variants–especially when workflows include target enrichment, which focuses on specific ...

Human disease is complex and influenced by a wide range of genomic variants. Sequencing accuracy is paramount in order to detect this vast array of genomic dysfunction. In genomic and multiomic ...

The first resource containing high-resolution DNA sequencing data for over 37,000 children and parents collected over multiple decades from across the UK is now available to researchers worldwide. The ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

DNA storage offers unprecedented data density compared to conventional tape and disk mediaAtlas Data Storage relies on custom ...