I'll be speaking in this webinar (go.roche.com/sbx-d) on September 10, where I'll share our benchmarks and observations for Roche's SBX sequencing instrument, as well as models developed by our team for SBX data.
This blog highlights the recent publication of DeepPolisher, but it was also a nice opportunity to write about research work to a more general audience and frame against the backdrop of how sequencing works, why we make genome assemblies, and how we improve and use them.
This blog highlights the recent publication of DeepPolisher, but it was also a nice opportunity to write about research work to a more general audience and frame against the backdrop of how sequencing works, why we make genome assemblies, and how we improve and use them.
Introducing DeepPolisher — in collaboration with UC Santa Cruz Genomics Institute, we developed this new open-source method to improve genome assembly accuracy. It reduces indel errors by 70% and total assembly errors by 50%. Learn more: goo.gle/3Hn8PCG
An emerging polishing pipeline, DeepPolisher, improves genome assemblies by reducing indel errors and correcting false homozygosity.
Applied to 180+ HPRC assemblies, it cut errors by 54% and significantly boosted overall quality.
Here’s how…
genome.cshlp.org/content/35/7/1…
📢 HPRC Release 2 is here!
Now with phased genomes from 200+ individuals, a 5x increase from Release 1.
Explore sequencing data, assemblies, annotations & alignments in our interactive data explorer ⬇️:
humanpangenome.org/hprc-data-rele…
Nice to see the impact of this important work. This benchmark set (v4.2.1) drove a huge amount of improvement sequencing. All seq instruments use it to quantify performance. Best credit is to @GenomeInABottle, who drove the field forward both in this work and over a decade.
Nice to see the impact of this important work. This benchmark set (v4.2.1) drove a huge amount of improvement sequencing. All seq instruments use it to quantify performance. Best credit is to @GenomeInABottle, who drove the field forward both in this work and over a decade.
Accelerating scientific discoveries and helping cure diseases might be the most profound purpose of AI.
Thrilled to introduce our @GoogleAI@GoogleDeepMind@googlecloud AI co-scientist system, which I believe is an important milestone towards this.
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