Ultima Genomics needed large-scale, cost-efficient compute for a sequencing platform whose basecalling and analysis pipeline depends on computer vision, deep learning, and repeated parallel experimentation to drive lower-cost genomics.
Reported impact
Ultima launched a sequencing platform targeting the $100 genome, uses AWS to process and store hundreds of terabytes of data, supports genomic use cases such as liquid biopsies, and can run parallel experiments that improve scale, cost, and accuracy.
Ultima Genomics uses AWS to accelerate the computational side of high-throughput DNA sequencing and pursue its goal of the $100 genome. Its UG 100 platform depends on a basecalling pipeline that processes camera-generated signals, applies computer-vision and deep-learning algorithms, and then performs downstream alignment and sorting to derive nucleotide sequences. Amazon EC2 G5 instances provide GPU-backed environments so scientists can spin up multiple experiments in parallel, while Amazon S3 and AWS HealthOmics help store and manage the large genomic datasets and workflows involved. This cloud-based setup lets researchers test algorithm changes without waiting for scarce fixed infrastructure, scale to hundreds of terabytes of processing and storage, and support advanced applications such as liquid biopsies and more diverse genomic databases.
Raw signals from Ultima's sequencing cameras are processed through GPU-backed basecalling and deep-learning workflows on Amazon EC2, resulting genomic data is stored on Amazon S3, and larger omics workflows are managed with AWS HealthOmics.
Several customers are using the machine to develop advanced diagnostic tests called liquid biopsies.
The pipeline processes signals from a camera tool, applies computer vision and deep learning algorithms, and then uses further algorithms for alignment and sorting.
Ultima can spin up multiple test instances on Amazon EC2 to run experiments in parallel.
its technology provides unique advantages for liquid biopsies and also costs three to four times less than other solutions.
the UG 100, based on a new ultra-high-throughput sequencing architecture that reduces the cost per genome to $100.
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