In this webinar, Lifebit co-founder and Chief Technological Officer, Dr. Pablo Prieto, and Lifebit Bioinformatician Phil Palmer explore Google DeepVariant and show how this variant calling pipeline can be optimised for cost and speed, and be easily integrated into your genomics analyses while utilizing Google DeepVariant.
In the fast-evolving world of genomics, it is crucial to keep up with the latest advancements to ensure the accuracy of variant calling. Google DeepVariant is an innovative tool that leverages deep learning to call variants from next-generation sequencing data. This section will delve deeper into the mechanisms of Google DeepVariant, showcasing its architecture and how it surpasses traditional methods in accuracy and efficiency.
Google DeepVariant employs convolutional neural networks (CNNs) to transform sequence data into images and applies sophisticated algorithms to identify variants. Its ability to learn from vast datasets enables it to recognize patterns that might be overlooked by conventional methods. This ensures that researchers can obtain more reliable results in their genomic analyses.
Understanding Google DeepVariant
- be optimised for cost and speed, and
- be easily integrated into your genomics analyses.
You can check out and easily test out the entire DeepVariant pipeline on our CloudOS platform.
Moreover, the integration of DeepVariant within the Lifebit CloudOS platform provides researchers with an accessible environment to utilize this powerful tool. Whether you’re working with whole genome sequencing or targeted panels, DeepVariant can streamline your workflow and enhance the accuracy of your variant calls.
To truly appreciate the capabilities of Google DeepVariant, it’s beneficial to explore case studies where it has been implemented successfully. For instance, numerous studies have demonstrated how DeepVariant outperforms traditional variant calling algorithms, resulting in fewer false positives and negatives. These improvements are critical for applications such as personalized medicine, where accurate variant detection can guide treatment decisions.
Additionally, user feedback has been overwhelmingly positive, with many researchers noting the ease of use and the tangible benefits of incorporating DeepVariant into their analyses. Workshops and training sessions have also become increasingly popular as the community seeks to harness the full potential of this pioneering tool.
What the webinar here.
If you missed our first webinar on how to reanalyse RNA-Seq public data from SRA, check it out here.
As we move forward in the field of genomics, tools like Google DeepVariant will undoubtedly play a pivotal role in shaping research and clinical applications. The ability to rapidly and accurately call variants will facilitate advancements in our understanding of genetic disorders and contribute to breakthroughs in therapeutic interventions.
Aired December 7th, 2018.
We would like to know what you think! Please fill out the following form or contact us at hello@lifebit.ai. We welcome your comments and suggestions!