#deepvariant search results
Happy to see the latest #DeepVariant preprint shows Strelka2 with the highest germline SNV and indel accuracy among conventional methods. Also great to see OSS release and continuing indel progress from the DV team, looking forward to seeing how much farther this will go.
. @GoogleAI’s paper on #DeepLearning for variant calling is out @NatureBiotech buff.ly/2Ogxlry GitHub: buff.ly/2QXmzoU #DeepVariant #NeuralNetwork #Genetics #Bioinformatics
#ASHG18 Tomasz Stokowy poster 1054. Comparison of variant callers in clinical setting. #DeepVariant with highest SNP and Indel accuracy at 30x or 15x. #DeepVariant at 15x coverage is more accurate than GATK at 30x. Can achieve very high accuracy and save reagent. Check it out!
So shiny and new!! Really excited to get this into the workstation and start putting it through its paces. First up will be some variant calling using #Deepvariant. #Nvidia #bioinformatics
While @acarroll_ATG is giving a talk about Google #deepvariant and @PacBio HiFi, he 'inadvertantly' gives a great reason for switching from @GenomeRef 37 to 38 (more resolved seg-dups!) @dnadiver @zevkronenberg @YuriySkripchen2
@GenomicsUK delivering a great @PacBio update including @khmiga #deepvariant data available at github.com/google/deepvar…
#DeepVariant’s unique adaptability allowed @GoogleAI & DNAnexus researchers to create a highly accurate SNP & Indel Calling on @PacBio CCS model. ow.ly/ZPQQ30nldK7
How to improve the accuracy of #DeepVariant even further? Tackle phasing. See how the @GoogleHealth team improved their popular variant caller to make the most of #HiFiReads with a new haplotype channel: ow.ly/ORqt50DuNG0
#DeepVariant is one of the #ML tools used in #genomics #Bioinformatics created by @Google github.com/google/deepvar…
Here's to our first @nf_core approved pipeline: #DeepVariant 🍻🎉 Many thanks to @tallphil for his help! And kudos to @phil_palmer_ for making this happen!🍏
@DCGenomics discusses the latest #machinelearning techniques being used in biomedical research including #GWAS fine-mapping, #DeepVariant & more! ow.ly/hkZA50DcSJ6
Overcoming limitations to customize DeepVariant for domesticated animals with TrioTrain. #GeneticVariants #DeepVariant #NonHumanSpecies #Bioinformatics @genomeresearch bsky.app/profile/nanopo…
Take a deep dive into #deepvariant; read DNAnexus #AI expert @infoecho’s in-depth analysis of #deeplearning methods & insights ow.ly/2LGp30nL6XL
WEBINAR TODAY: #GWAS fine-mapping, #DeepVariant, using GPU-based RAPIDS to analyze lung cells susceptible to COVID & more with @lal_avantika from @nvidia & @DCGenomics ow.ly/7VhO50DcSPj
We just released the latest #DeepVariant blog post! 🥳 Take a look through DeepVariant’s eyes. It’s interactive... 😎 google.github.io/deepvariant/po…
#DeepVariant is an analysis pipeline that uses #DeepLearning to call genetic variants from next generation #DNA sequencing data - thanks @allenday for sharing! #TensorFlow #OpenSource #Bioinformatics #Healthcare
Retraining @GoogleAI #DeepVariant improves accuracy of variant calling in mosquito genomes. ow.ly/soPP30mWNf3 DNAnexus GLnexus used to perform combination of DeepVariant calls. github.com/dnanexus-rnd/G…
Watch these talks about Q40+ on AVITI & Cost Effective Trio Seq by Semyon Kruglyak, PhD, our VP of Informatics: bit.ly/3byQ2nD Thank you to our partners on this work: @GoogleHealth #DeepVariant, @GenooxTeam, & @UCSanDiego @ShileyEye w/ Radha Ayyagari, PhD #NGS #biotech
Overcoming limitations to customize DeepVariant for domesticated animals with TrioTrain. #GeneticVariants #DeepVariant #NonHumanSpecies #Bioinformatics @genomeresearch bsky.app/profile/nanopo…
LIVE at #BG24: Jenna Kalleberg from @MIZCOMO explains to #DeepVariant-TrioTrain: a customized #multi-#species approach to improve #variant calling in #animal #genomes
Inspecting the embeddings of @Google DeepVariant's internal layers reveals that structural variants and mobile repetitive elements are important for variant calling! I take this as #Deepvariant recommending the use of long reads for genomic variant calling.
When we train deep learning models for genomics, what do they learn? To help answer this question, we examined the DeepVariant model to determine what insights it has developed, and we discovered some surprising concepts embedded within. Read more at goo.gle/4eUGNdg
Open Omics is open-sourced, community-driven, full-stack solution designed to speed up and lower the cost of #omics pipelines. The latest version consists of pipelines for genomics, protein folding and single cell RNASeq. #Deepvariant #Alphafold #scRNASeq #BWAMEM
Eager to learn more about #DeepVariant and its impact on genomic sequencing? Check out this comprehensive article for all the insights: bioinformaticschool.com/?p=384 📚🔍 #DeepDive #ReadAndDiscover
Precision of #DeepVariant is paving a new path in personalized medicine. Imagine treatments tailored to your genetic makeup! This is where technology meets healthcare. 💊📊 #HealthcareInnovation #PersonalizedMedicine
Did you know #DeepVariant uses RGB images for AI analysis of genomic data? This unique approach blends visual creativity with scientific data analysis. A true intersection of art and science! 🎨🔬 #DataVisualization
Dive into the tech behind #DeepVariant: Haplotype-aware realignment, variant identification, and more. It's where cutting-edge technology meets genomics! 🌐🔍 #InnovativeTech #DeepLearningInScience
Comparison alert! #DeepVariant outperforms traditional methods like GATK in genetic variant calling. It's not just an upgrade; it's a leap forward in bioinformatics! 📊🧬 #NextGenSequencing #DataAccuracy
The power of deep learning in #DeepVariant is revolutionizing how we process genomic sequencing data. It's not just about accuracy; it's about advancing our understanding of genetics with AI's help! 🤖🧪 #ScienceEvolution #GeneticResearch
🌟 Excited about #DeepVariant? Google's AI is transforming genomic sequencing with unparalleled precision. This tool is a game-changer in identifying genetic variants, making complex data easier to understand. 🧬🔬 #Genomics #TechInnovation🌟
Wicked Fast: #NVIDIA's latest version of Parabricks introduces accelerated #DeepVariant on its GPUs, along with a new retraining tool. Read the @GenomeWeb article: hubs.li/Q01XGPpJ0 #genomics #ai
genomeweb.com
Nvidia Pushes Forward in Cloud-Based Hardware Acceleration of Genome Analysis
The GPU company is involved with Amazon, Google, and Oracle efforts to speed up omics analysis and apply AI, including with a new tool for retraining Google's DeepVariant.
A new #DeepVariant retraining tool is now available on @TerraBioApp with the latest NVIDIA #Parabricks 4.1 release. Everyone has the ability to fine tune DeepVariant on their own data and improve variant calling. #AI #genomics #research nvda.ws/3WfBfkZ
@GenomicsUK delivering a great @PacBio update including @khmiga #deepvariant data available at github.com/google/deepvar…
Might be true for your lab but in general it doesn't sound right, most probably misdirected? Most of them are thrown into the rat race of publish or perish. In #AI e.g. its probably much better to be with comp like @GoogleAI #deepvariant @DeepMind #alphafold & fold a variant 🤓
Excited to share about #DeepVariant, a genomic variant caller using deep neural networks for accurate results in precision medicine. Pushing boundaries in #Genomics with #DeepLearning. #PrecisionMedicine Try now with superbio.ai: app.superbio.ai/apps/104?id=62…
#GATK, #DRAGEN and #DeepVariant are all almost en par - Good news for streamlined diagnostics. nature.com/articles/s4159…
nature.com
Comparison of calling pipelines for whole genome sequencing: an empirical study demonstrating the...
Scientific Reports - Comparison of calling pipelines for whole genome sequencing: an empirical study demonstrating the importance of mapping and alignment
By using @googleai’s #DeepVariant we reduced Mendelian inheritance errors by half vs GATK. We then used these SNPs to calculate inbreeding levels for the entire sequenced pedigree. This also creates a high-quality SNP set and trained DV model for future research as well! 2/n
👉 For instance, Google’s deep learning-based variant caller is named #DeepVariant, which interprets data from high-throughput sequences into a clear picture of the genome only in one day.
Watch these talks about Q40+ on AVITI & Cost Effective Trio Seq by Semyon Kruglyak, PhD, our VP of Informatics: bit.ly/3byQ2nD Thank you to our partners on this work: @GoogleHealth #DeepVariant, @GenooxTeam, & @UCSanDiego @ShileyEye w/ Radha Ayyagari, PhD #NGS #biotech
. @GoogleAI’s paper on #DeepLearning for variant calling is out @NatureBiotech buff.ly/2Ogxlry GitHub: buff.ly/2QXmzoU #DeepVariant #NeuralNetwork #Genetics #Bioinformatics
Study by @dnanexus seems to put @googleresearch #DeepVariant way above alternatives like #GATK #FreeBayes #Samtools New default genomics variant calling standard? HT @DShaywitz
Curious about #DeepVariant and whether deep learning works in genomics? My fellow scientists at @DNAnexus have insights to share: blog.dnanexus.com/2017-12-05-eva…
How to improve the accuracy of #DeepVariant even further? Tackle phasing. See how the @GoogleHealth team improved their popular variant caller to make the most of #HiFiReads with a new haplotype channel: ow.ly/ORqt50DuNG0
Happy to see the latest #DeepVariant preprint shows Strelka2 with the highest germline SNV and indel accuracy among conventional methods. Also great to see OSS release and continuing indel progress from the DV team, looking forward to seeing how much farther this will go.
#DeepVariant is one of the #ML tools used in #genomics #Bioinformatics created by @Google github.com/google/deepvar…
#DeepVariant’s unique adaptability allowed @GoogleAI & DNAnexus researchers to create a highly accurate SNP & Indel Calling on @PacBio CCS model. ow.ly/ZPQQ30nldK7
#DeepLearning in #Genomics: #DeepVariant on DNAnexus Pilot Program. Request Access Today! ow.ly/vNYY30h3xdi
@GenomicsUK delivering a great @PacBio update including @khmiga #deepvariant data available at github.com/google/deepvar…
So shiny and new!! Really excited to get this into the workstation and start putting it through its paces. First up will be some variant calling using #Deepvariant. #Nvidia #bioinformatics
Overcoming limitations to customize DeepVariant for domesticated animals with TrioTrain. #GeneticVariants #DeepVariant #NonHumanSpecies #Bioinformatics @genomeresearch bsky.app/profile/nanopo…
Watch these talks about Q40+ on AVITI & Cost Effective Trio Seq by Semyon Kruglyak, PhD, our VP of Informatics: bit.ly/3byQ2nD Thank you to our partners on this work: @GoogleHealth #DeepVariant, @GenooxTeam, & @UCSanDiego @ShileyEye w/ Radha Ayyagari, PhD #NGS #biotech
LIVE at #BG24: Jenna Kalleberg from @MIZCOMO explains to #DeepVariant-TrioTrain: a customized #multi-#species approach to improve #variant calling in #animal #genomes
#ASHG18 Tomasz Stokowy poster 1054. Comparison of variant callers in clinical setting. #DeepVariant with highest SNP and Indel accuracy at 30x or 15x. #DeepVariant at 15x coverage is more accurate than GATK at 30x. Can achieve very high accuracy and save reagent. Check it out!
Take a deep dive into #deepvariant; read DNAnexus #AI expert @infoecho’s in-depth analysis of #deeplearning methods & insights ow.ly/2LGp30nL6XL
Will #DeepVariant be trained to handle #RNAseq or #IsoSeq data too? @acarroll_ATG says yes, as soon as datasets available. Keep up-to-date on releases at github.com/google/deepvar…. And our blog, which will post a full recap & video. (And thank these folks for the resource!)
@DCGenomics discusses the latest #machinelearning techniques being used in biomedical research including #GWAS fine-mapping, #DeepVariant & more! ow.ly/hkZA50DcSJ6
Something went wrong.
Something went wrong.
United States Trends
- 1. Good Monday 26K posts
- 2. #MondayMotivation 30.9K posts
- 3. Happy Birthday Marines 3,387 posts
- 4. Rudy Giuliani 15K posts
- 5. Steelers 53.9K posts
- 6. Happy 250th 1,573 posts
- 7. #ITZY_TUNNELVISION 36.6K posts
- 8. Mr. 4 4,659 posts
- 9. 8 Democrats 11.1K posts
- 10. The BBC 422K posts
- 11. Resign 117K posts
- 12. Chargers 39K posts
- 13. Semper Fi 3,898 posts
- 14. #Talus_Labs N/A
- 15. Tomlin 8,441 posts
- 16. Tim Kaine 24.6K posts
- 17. 8 Dems 8,316 posts
- 18. Rodgers 21.8K posts
- 19. Dick Durbin 16K posts
- 20. Angus King 20.1K posts