3 ms·
We're only starting to see the age of genomics accelerated by GPUs. I think it's still early if you have the technical background.
by boldlybold 4y ago
We're only starting to see the age of genomics accelerated by GPUs. I think it's still early if you have the technical background.
- 331c8c71 4y agoEdico developed FPGA-based processing solution for common bioinformatics processing tasks (e.g. dna/rna mapping, variant calling) and the company was bought by Illumina. The product (Dragen) has been around for a few years and now will be integrated in the new generation of sequencers. Extremely impressive technology and a better fit for the niche compared to GPU-based solutions I have seen. More downstream processing and analytics is sometimes closer to traditional ML and naturally there are lots of GPU-based algos.
- boldlybold 4y agoI'm more excited about NVIDIA's acquisition of Parabricks and the version 4.0 of the software that makes it free to use, than I am about DRAGEN. At the very least it's good to have some competition in the space, Illumina's stuff is always SO expensive. We'll have to see what hardware will win in the end.
- 331c8c71 4y agoI have tried both and dragen was more polished and also faster (that depends on the GPU for parabricks of course). Also more features and they keep adding them. Agreed that competition is good to have. There is also Sentieon and similar solutions which run on common hardware but are optimized. Speaking of costs (both upfront and licensing), dragen imo is not expensive relative to sequencing costs (e.g. sequencers and flowcells). Surely it would be expensive to buy for occasional use. By making parabricks free to use Nvidia tries to gain a market share I guess. In professional settings you still end up buying support and likely dedicated hardware (which is comparable in pricing). Good fit for the cloud and research environments that already have access to GPUs and/or are decoupled from actual sequencing.