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Maximizing Profitability in Your
NGS Testing Lab
Develop repeatable cancer and germline interpretation workflows that scale
from panels to whole exomes and genomes
Dr. Andreas Scherer, President and CEO of Golden Helix
Gabe Rudy, VP of Product & Engineering
NIH Grant Funding Acknowledgments
2
• Research reported in this publication was supported by the National Institute Of General Medical Sciences of
the National Institutes of Health under:
o Award Number R43GM128485-01
o Award Number R43GM128485-02
o Award Number 2R44 GM125432-01
o Award Number 2R44 GM125432-02
o Montana SMIR/STTR Matching Funds Program Grant Agreement Number 19-51-RCSBIR-005
• PI is Dr. Andreas Scherer, CEO of Golden Helix.
• The content is solely the responsibility of the authors and does not necessarily represent the official views of the
National Institutes of Health.
Who Are We?
3
Golden Helix is a global bioinformatics company founded in 1998
Filtering and Annotation
ACMG & AMP Guidelines
Clinical Reports
CNV Analysis
Pipeline: Run Workflows
CNV Analysis
GWAS | Genomic Prediction
Large-N Population Studies
RNA-Seq
Large-N CNV-Analysis
Variant Warehouse
Centralized Annotations
Hosted Reports
Sharing and Integration
Golden Helix named on the
2019, 2020 & 2021 Inc. 5000 list
Our track record is profitable growth!
4
Cited in 1,000s of Peer-Reviewed Publications
5
Over 400 Customers Globally
6
When you choose Golden Helix, you receive
more than just the software
7
Software is Vetted
• 20,000+ users at 400+ organizations
• Quality & feedback
Simple, Subscription-
Based Business Model
• Yearly fee
• Unlimited training & support
Deeply Engrained in Scientific
Community
• Give back to the community
• Contribute content and support
Innovative Software Solutions
• Cited in 1,000s of publications
• Recipient of numerous NIH grant and other
funding bodies
Precision
Medicine
• The field of Medicine is rapidly changing towards
a data driven and analytical approach to
diagnostics and treatment selection.
• Leveraging Genetic Information is in the center of
this development as it gives clinicians the ability
to tailor treatment options specific to the
molecular profile of a patient.
• How do we do this profitably?
A key enabler: lower sequencing cost per genome
9
$46,774
$20,963
$7,666
$5,671
$4,008 $3,970
$1,176 $1,015 $1,232 $1,039 $645
$0
$5,000
$10,000
$15,000
$20,000
$25,000
$30,000
$35,000
$40,000
$45,000
$50,000
2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Cost per Genome
As the cost per genome declines, the use of NGS-based testing will become the standard across hospitals globally. According to Grand View Research,
the global bioinformatics market was valued at US $4.62 billion in 2015. It is estimated to grow to about 14 billion by 2024.
10
Regulatory Landscape Reimbursement
Testing Technology Physician Adoption
Bioinformatics
Consumer Demand
Early Adoption Moderate Adoption High Adoption
Market focus is on science and
research, lack of infrastructure,
clinical evidence and physician
education.
Clinical genetic standard for selected
targets and therapeutic areas.
Bioinformatics increasingly crucial for
diagnosis and treatment selection.
Greater availability of data
around testing with genetic
services becoming standard of
care for a majority of patients.
NGS Testing Adoption Curve
Next-Gen Sequencing Market
11
Next-Generation Sequencing (NGS) Market
Global Forecast to 2026, Markets and Markets 2021
NGS Market by Application
12
Next-Generation Sequencing (NGS) Market
Global Forecast to 2026, Markets and Markets 2021
NGS Market by End User
13
Next-Generation Sequencing (NGS) Market
Global Forecast to 2026, Markets and Markets 2021
NGS Market by Application
14
Next-Generation Sequencing (NGS) Market
Global Forecast to 2026, Markets and Markets 2021
Market Summary
15
Next-Generation Sequencing (NGS) Market
Global Forecast to 2026, Markets and Markets 2021
Today’s Reality for NGS testing labs
16
• Multiple vendors
• Homegrown pipelines
• Increased support costs in a multi-platform environment
• High touch workflows
• Reimbursement issues
• Third party participating in your revenue stream
Never ending increase of
workload
Fast changing
testing market
Experts are tough to come
by
Tactical Issues
Key to Profitability
17
The core tenants of long-term success
Ability to create new tests
quickly according to
market demand
Bottom line-oriented
business partners enabling
your lab
Scalable solutions and a
high degree of automation
Ability to Rapidly Develop New Tests
18
Small Startup Lab
A few hundred tests
per year
Regional Lab
5-10,000+ exomes
per year
National Genome Center
10,000s whole genomes
per year
Gene panels to exomes to whole genomes
Cancer and Hereditary Disease Tests
Flexible Reporting Options
19
• Local-first algorithm and data strategy
• Building from-scratch algorithms and
integrated data storage strategies
• FASTQ to clinical reporting in one solution,
with training and support
• Industry standard guidelines:
o ACMG: Germline interpretation for
diagnosis and hereditary disease risk
o AMP: Somatic interpretation for targeted
molecular therapy and cancer prognostics
• Automation and customization of lab-
specific needs
• Long term data storage and knowledgebase
management with VSWarehouse
Bottom Line-Oriented Partners Enabling your Lab
Golden Helix Clinical Suite
20
Hospital
Research
Clinic
Clinician Patient
Bills
Reimbursement
Medicaid
Insurer
Inhouse Pathology Labs
• Conduct all crucial elements of the pipeline work inhouse
Testing Labs
• Provide outsourcing services to Hospitals and Clinics
• Various service levels
Other Hospitals and Research Clinics
• Conduct the entire diagnostics process
GHI
Determines treatment
Pay license
fee
Enables
Clinical Report
funds
Bottom Line-Oriented Partners Enabling your Business
Flat Fee-Based Business Model
Scaling an NGS Lab Throughput
21
• Strategies to Manage Scaling Constraints
o Design around turn-around time
o Automate analysis
o Re-use of previous work
o Guided workflow decision support
o Lock down the workflow
Personnel
Compute
Turn-
Around
Time
Quality &
Data
Security
Scaling Constraints
Scaling Compute for NGS Analysis
22
• Automated workflow:
o Align & Call
o Annotate & Filter
• Interactive workflow:
o QC samples and variants
o Classify and interpret variants
o Review and report
• Warehouse and Data Lifecycle
o Compute resources
o Personnel
o Turn-around time
Seq
CNVs SVs
Variant
Annotate
Reads
Alignment
Annotate
Annotate
Filter Filter Filter
Interpret
Warehouse Report
Cohort
Analysis
Re-Analysis
C
Automated
Interactive
Long Lived
• Example NovaSeq Run (1 or 2 a week)
o 50 whole genomes or 500 exomes
o 5TB total storage /week
o 260TB total storage / year
• Data lifecycle policy required
o Move to archival (~10 years) such as tape
o Save inputs and outputs, re-create
intermediate
• Cloud storage costs generally exceed
on-premise
o Cost 1 Year S3 storage 260TB = $71,760
o Cost to download 260TB = $23,400
Scaling Storage for NGS Analysis
• Guided workflows gains
o Self-guided
o Reduce chance of errors
o Reproducible results
o Aggregators of knowledge
• Auto-apply previous interpretations
• QC improves over time, leverage cohort
• Clinical Trial Performance Evaluation
o Two clinical labs, in-production tests
o Manual vs Guided workflow
o Reduced turn-around time
o Reduction in errors / rework
Scaling Personnel
Reduced Time Reduced Rework
Site A 42% 96%
Site B 62% 100%
Manual Cancer Sample Workflow vs VarSeq Suite
• Quality & Data Security Increasingly Important:
o IVDR compliance rolling out over coming years
o Supplier evaluation: are they following ISO 13485
o Large investment in quality systems, validation
o Home-brewed solutions are entirely uneconomical
o Fewer multi-solution vendors rather than many single-
purpose vendors
• Quality Management System Constraints:
o Cost of change is high: longevity of vendor and support
o Vendor must support locked down workflows
o Updates/upgrades require re-validation, do on lab schedule
Scaling Quality & Data Security
Scaling Scenarios
26
• Region Testing Lab Scaling Exomes
• Scaled to hundreds of exomes a week
• Batch work must complete over the weekend
• Windows-centric IT infrastructure
• Pharmaceutical Services Co Scaling Genomes
• High volume, batch-oriented WGS processing
• Fully automated locked-down deliverables
• Docker-centric pipeline
• Nation-scale genome center
• High security requirements
• No outbound internet
• Groups with private workspaces
27
• Prefers fewer large servers
• Target time limit of 24 hours to process 300 exomes
(buffer time for re-run if failure)
• Windows server with Powershell scripts
• Analysis workflow includes:
• Coverage stats and QC
• VS-CNV calling
• Annotation and filtering
• Gene panel and phenotype automation
Region Testing Lab Scaling Exomes
Pharma Services Scaling Genomes
28
• Deliverables are locked down through versioned
pipelines
• All steps inside read-only Docker containers
• VSPipeline + Annotations + Project Templates
• Local Linux cluster and cloud deployment scenarios
• Secure Cloud deployments in China with no
outbound internet access
• Batch node job:
• Download docker containers
• [Cloud only] Download BAM, VCF from storage
• Docker run pipeline
• [Cloud only] Upload results to storage
Genome Center Scaling Genome Interpretation
29
• Air-gapped environment with no direct internet
• Internally mirrored data and license servers
• Leverage Linux cluster for interactive analysis
• Segregated into groups
• Group level access to input/output files
• Group level permissions and sharing
• Group level VSWarehouse
• Aggregate and share across groups
Key to Profitability: Summary
30
The core tenants of long-term success
Establish the test portfolio
for your lab that your
customers are demanding
Ensure a profitable
operating model per test/
category
Scaling up test volume
Questions & Answers
31
Learn more about Golden Helix’s solutions
We would love to share more about how our end-
to-end solutions can be tailored for your lab’s
specific needs.
EMAIL US AT INFO@GOLDENHELIX.COM
We have a number of learning resources on our
site: eBooks, webcasts, case studies and more!
VISIT WWW.GOLDENHELIX.COM
Please enter your questions into the “Questions” pane
of your Zoom webinar platform. All questions will be
answered anonymously.
NIH Grant Funding Acknowledgments
32
• Research reported in this publication was supported by the National Institute Of General Medical Sciences of
the National Institutes of Health under:
o Award Number R43GM128485-01
o Award Number R43GM128485-02
o Award Number 2R44 GM125432-01
o Award Number 2R44 GM125432-02
o Montana SMIR/STTR Matching Funds Program Grant Agreement Number 19-51-RCSBIR-005
• PI is Dr. Andreas Scherer, CEO of Golden Helix.
• The content is solely the responsibility of the authors and does not necessarily represent the official views of the
National Institutes of Health.
33
News & Publications
Questions & Answers
34
Learn more about Golden Helix’s solutions
We would love to share more about how our end-
to-end solutions can be tailored for your lab’s
specific needs.
EMAIL US AT INFO@GOLDENHELIX.COM
We have a number of learning resources on our
site: eBooks, webcasts, case studies and more!
VISIT WWW.GOLDENHELIX.COM
Please enter your questions into the “Questions” pane
of your Zoom webinar platform. All questions will be
answered anonymously.

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Maximizing Profitability in your NGS Testing Lab

  • 1. Maximizing Profitability in Your NGS Testing Lab Develop repeatable cancer and germline interpretation workflows that scale from panels to whole exomes and genomes Dr. Andreas Scherer, President and CEO of Golden Helix Gabe Rudy, VP of Product & Engineering
  • 2. NIH Grant Funding Acknowledgments 2 • Research reported in this publication was supported by the National Institute Of General Medical Sciences of the National Institutes of Health under: o Award Number R43GM128485-01 o Award Number R43GM128485-02 o Award Number 2R44 GM125432-01 o Award Number 2R44 GM125432-02 o Montana SMIR/STTR Matching Funds Program Grant Agreement Number 19-51-RCSBIR-005 • PI is Dr. Andreas Scherer, CEO of Golden Helix. • The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
  • 3. Who Are We? 3 Golden Helix is a global bioinformatics company founded in 1998 Filtering and Annotation ACMG & AMP Guidelines Clinical Reports CNV Analysis Pipeline: Run Workflows CNV Analysis GWAS | Genomic Prediction Large-N Population Studies RNA-Seq Large-N CNV-Analysis Variant Warehouse Centralized Annotations Hosted Reports Sharing and Integration
  • 4. Golden Helix named on the 2019, 2020 & 2021 Inc. 5000 list Our track record is profitable growth! 4
  • 5. Cited in 1,000s of Peer-Reviewed Publications 5
  • 6. Over 400 Customers Globally 6
  • 7. When you choose Golden Helix, you receive more than just the software 7 Software is Vetted • 20,000+ users at 400+ organizations • Quality & feedback Simple, Subscription- Based Business Model • Yearly fee • Unlimited training & support Deeply Engrained in Scientific Community • Give back to the community • Contribute content and support Innovative Software Solutions • Cited in 1,000s of publications • Recipient of numerous NIH grant and other funding bodies
  • 8. Precision Medicine • The field of Medicine is rapidly changing towards a data driven and analytical approach to diagnostics and treatment selection. • Leveraging Genetic Information is in the center of this development as it gives clinicians the ability to tailor treatment options specific to the molecular profile of a patient. • How do we do this profitably?
  • 9. A key enabler: lower sequencing cost per genome 9 $46,774 $20,963 $7,666 $5,671 $4,008 $3,970 $1,176 $1,015 $1,232 $1,039 $645 $0 $5,000 $10,000 $15,000 $20,000 $25,000 $30,000 $35,000 $40,000 $45,000 $50,000 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 Cost per Genome As the cost per genome declines, the use of NGS-based testing will become the standard across hospitals globally. According to Grand View Research, the global bioinformatics market was valued at US $4.62 billion in 2015. It is estimated to grow to about 14 billion by 2024.
  • 10. 10 Regulatory Landscape Reimbursement Testing Technology Physician Adoption Bioinformatics Consumer Demand Early Adoption Moderate Adoption High Adoption Market focus is on science and research, lack of infrastructure, clinical evidence and physician education. Clinical genetic standard for selected targets and therapeutic areas. Bioinformatics increasingly crucial for diagnosis and treatment selection. Greater availability of data around testing with genetic services becoming standard of care for a majority of patients. NGS Testing Adoption Curve
  • 11. Next-Gen Sequencing Market 11 Next-Generation Sequencing (NGS) Market Global Forecast to 2026, Markets and Markets 2021
  • 12. NGS Market by Application 12 Next-Generation Sequencing (NGS) Market Global Forecast to 2026, Markets and Markets 2021
  • 13. NGS Market by End User 13 Next-Generation Sequencing (NGS) Market Global Forecast to 2026, Markets and Markets 2021
  • 14. NGS Market by Application 14 Next-Generation Sequencing (NGS) Market Global Forecast to 2026, Markets and Markets 2021
  • 15. Market Summary 15 Next-Generation Sequencing (NGS) Market Global Forecast to 2026, Markets and Markets 2021
  • 16. Today’s Reality for NGS testing labs 16 • Multiple vendors • Homegrown pipelines • Increased support costs in a multi-platform environment • High touch workflows • Reimbursement issues • Third party participating in your revenue stream Never ending increase of workload Fast changing testing market Experts are tough to come by Tactical Issues
  • 17. Key to Profitability 17 The core tenants of long-term success Ability to create new tests quickly according to market demand Bottom line-oriented business partners enabling your lab Scalable solutions and a high degree of automation
  • 18. Ability to Rapidly Develop New Tests 18 Small Startup Lab A few hundred tests per year Regional Lab 5-10,000+ exomes per year National Genome Center 10,000s whole genomes per year Gene panels to exomes to whole genomes Cancer and Hereditary Disease Tests Flexible Reporting Options
  • 19. 19 • Local-first algorithm and data strategy • Building from-scratch algorithms and integrated data storage strategies • FASTQ to clinical reporting in one solution, with training and support • Industry standard guidelines: o ACMG: Germline interpretation for diagnosis and hereditary disease risk o AMP: Somatic interpretation for targeted molecular therapy and cancer prognostics • Automation and customization of lab- specific needs • Long term data storage and knowledgebase management with VSWarehouse Bottom Line-Oriented Partners Enabling your Lab Golden Helix Clinical Suite
  • 20. 20 Hospital Research Clinic Clinician Patient Bills Reimbursement Medicaid Insurer Inhouse Pathology Labs • Conduct all crucial elements of the pipeline work inhouse Testing Labs • Provide outsourcing services to Hospitals and Clinics • Various service levels Other Hospitals and Research Clinics • Conduct the entire diagnostics process GHI Determines treatment Pay license fee Enables Clinical Report funds Bottom Line-Oriented Partners Enabling your Business Flat Fee-Based Business Model
  • 21. Scaling an NGS Lab Throughput 21 • Strategies to Manage Scaling Constraints o Design around turn-around time o Automate analysis o Re-use of previous work o Guided workflow decision support o Lock down the workflow Personnel Compute Turn- Around Time Quality & Data Security Scaling Constraints
  • 22. Scaling Compute for NGS Analysis 22 • Automated workflow: o Align & Call o Annotate & Filter • Interactive workflow: o QC samples and variants o Classify and interpret variants o Review and report • Warehouse and Data Lifecycle o Compute resources o Personnel o Turn-around time Seq CNVs SVs Variant Annotate Reads Alignment Annotate Annotate Filter Filter Filter Interpret Warehouse Report Cohort Analysis Re-Analysis C Automated Interactive Long Lived
  • 23. • Example NovaSeq Run (1 or 2 a week) o 50 whole genomes or 500 exomes o 5TB total storage /week o 260TB total storage / year • Data lifecycle policy required o Move to archival (~10 years) such as tape o Save inputs and outputs, re-create intermediate • Cloud storage costs generally exceed on-premise o Cost 1 Year S3 storage 260TB = $71,760 o Cost to download 260TB = $23,400 Scaling Storage for NGS Analysis
  • 24. • Guided workflows gains o Self-guided o Reduce chance of errors o Reproducible results o Aggregators of knowledge • Auto-apply previous interpretations • QC improves over time, leverage cohort • Clinical Trial Performance Evaluation o Two clinical labs, in-production tests o Manual vs Guided workflow o Reduced turn-around time o Reduction in errors / rework Scaling Personnel Reduced Time Reduced Rework Site A 42% 96% Site B 62% 100% Manual Cancer Sample Workflow vs VarSeq Suite
  • 25. • Quality & Data Security Increasingly Important: o IVDR compliance rolling out over coming years o Supplier evaluation: are they following ISO 13485 o Large investment in quality systems, validation o Home-brewed solutions are entirely uneconomical o Fewer multi-solution vendors rather than many single- purpose vendors • Quality Management System Constraints: o Cost of change is high: longevity of vendor and support o Vendor must support locked down workflows o Updates/upgrades require re-validation, do on lab schedule Scaling Quality & Data Security
  • 26. Scaling Scenarios 26 • Region Testing Lab Scaling Exomes • Scaled to hundreds of exomes a week • Batch work must complete over the weekend • Windows-centric IT infrastructure • Pharmaceutical Services Co Scaling Genomes • High volume, batch-oriented WGS processing • Fully automated locked-down deliverables • Docker-centric pipeline • Nation-scale genome center • High security requirements • No outbound internet • Groups with private workspaces
  • 27. 27 • Prefers fewer large servers • Target time limit of 24 hours to process 300 exomes (buffer time for re-run if failure) • Windows server with Powershell scripts • Analysis workflow includes: • Coverage stats and QC • VS-CNV calling • Annotation and filtering • Gene panel and phenotype automation Region Testing Lab Scaling Exomes
  • 28. Pharma Services Scaling Genomes 28 • Deliverables are locked down through versioned pipelines • All steps inside read-only Docker containers • VSPipeline + Annotations + Project Templates • Local Linux cluster and cloud deployment scenarios • Secure Cloud deployments in China with no outbound internet access • Batch node job: • Download docker containers • [Cloud only] Download BAM, VCF from storage • Docker run pipeline • [Cloud only] Upload results to storage
  • 29. Genome Center Scaling Genome Interpretation 29 • Air-gapped environment with no direct internet • Internally mirrored data and license servers • Leverage Linux cluster for interactive analysis • Segregated into groups • Group level access to input/output files • Group level permissions and sharing • Group level VSWarehouse • Aggregate and share across groups
  • 30. Key to Profitability: Summary 30 The core tenants of long-term success Establish the test portfolio for your lab that your customers are demanding Ensure a profitable operating model per test/ category Scaling up test volume
  • 31. Questions & Answers 31 Learn more about Golden Helix’s solutions We would love to share more about how our end- to-end solutions can be tailored for your lab’s specific needs. EMAIL US AT INFO@GOLDENHELIX.COM We have a number of learning resources on our site: eBooks, webcasts, case studies and more! VISIT WWW.GOLDENHELIX.COM Please enter your questions into the “Questions” pane of your Zoom webinar platform. All questions will be answered anonymously.
  • 32. NIH Grant Funding Acknowledgments 32 • Research reported in this publication was supported by the National Institute Of General Medical Sciences of the National Institutes of Health under: o Award Number R43GM128485-01 o Award Number R43GM128485-02 o Award Number 2R44 GM125432-01 o Award Number 2R44 GM125432-02 o Montana SMIR/STTR Matching Funds Program Grant Agreement Number 19-51-RCSBIR-005 • PI is Dr. Andreas Scherer, CEO of Golden Helix. • The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
  • 34. Questions & Answers 34 Learn more about Golden Helix’s solutions We would love to share more about how our end- to-end solutions can be tailored for your lab’s specific needs. EMAIL US AT INFO@GOLDENHELIX.COM We have a number of learning resources on our site: eBooks, webcasts, case studies and more! VISIT WWW.GOLDENHELIX.COM Please enter your questions into the “Questions” pane of your Zoom webinar platform. All questions will be answered anonymously.

Editor's Notes

  1. Before we start diving into the subject, I wanted mention our appreciation for our grant funding from NIH. The research reported in this publication was supported by the National institute of general medical sciences of the national institutes of health under the listed awards. Additionally we are also grateful for receiving local grant funding from the state of Montana. Our PI is Dr. Andreas Scherer who is also the CEO at Golden Helix and the content described today is the responsibility of the authors and does not officially represent the views of the NIH. So with that covered, lets take just a few minutes to talk a little bit about our company Golden Helix.
  2. GoldenHelix is a global bioinformatics software and analytics company that enables research and clinical practices to analyze large genomic datasets. We were originally founded in 1998 based of pharmacogenomics work performed at GalxoSmithKline who still is a primary investor in our company. We currently have two flagship products Varseq and SNP and Variation Suite (SVS) for short. VarSeq serves as a clinical tertiary analysis tool tailored for basic variant annotation and filtration but additionally, users have access to automated AMP or ACMG variant guidelines. VarSeq also has the capability to detect copy number variations scaling from single exome to large aneuploidy level events. Additionally, the finalization of variant interpretation and classification is further optimized with the VarSeq clinical reporting capability. Users can integrate all of these features into a standardized workflow which can be automated further with batch runs via VSPipeline. Paired with VarSeq is VSWarehouse which serves as the repository for this large amount of useful genomic data. Warehouse not only solves the issue of data storage for ever increasing genomic content, but also is fully query able and auditable with definability of user access for project managers or collaborators. Lastly, our research platform, SVS, enables researchers to perform complex analysis and visualizations on genomic and phenotypic data. SVS has a range of tools to perform GWAS, Genomic Prediction, RNA-Seq analysis and the ability to process CNVs
  3. Our software has been very well received by the industry. We have been cited in thousands of peer-reviewed publications and that’s a testament to our customer base.
  4. We work with over 400 organizations all over the globe. top-tier institutions, Stanford and yale government organizations, NCI clinics, Sick kids genetic testing labs, prevention genetics and lineage With now well over 20,000 installs of our products and with 1,000’s of unique users. So why is this relevant to you?
  5. This means that over the course of 20 years our products have received a lot user feedback, which we immediately incorporate into developing and releasing newer versions of our products. We receive active research grants to support the advancement of our software capability which is always directed from our user feedback and awareness of the industry needs. We also stay relevant in the community by regularly attending conferences and providing useful product information via eBooks, tutorials, and blog posts. Your access to the software is a simple subscription based model where we don’t charge per sample nor per version. You also maintain full access to our support and training staff to get you up to speed quickly with your analysis
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  7. Source: https://www.genome.gov/about-genomics/fact-sheets/DNA-Sequencing-Costs-Data
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  17. The Golden Helix stack provides the capability to start with an initial FASTQ file all the way down to a clinical report. This is achievable through our partnership with Sentieon providing the alignment and variant calling steps to produce the VCF and BAM files. This output serves as the basis for CNV detection and import data for your tertiary analysis in VarSeq. If you are performing NGS based CNV analysis, Golden Helix is the market leader; supported by studies like Robarts Research Institute showing 100% concordance with MLPA. Additionally, the imported variants in your VarSeq project can be run through VSClinical’s automated ACMG and AMP guidelines. After completing secondary and tertiary processing, all analysis can be rendered into a clinical report which can be stored in VSWarehouse providing researchers and clinicians with access to this information and to view previous findings.
  18. The Golden Helix stack provides the capability to start with an initial FASTQ file all the way down to a clinical report. This is achievable through our partnership with Sentieon providing the alignment and variant calling steps to produce the VCF and BAM files. This output serves as the basis for CNV detection and import data for your tertiary analysis in VarSeq. If you are performing NGS based CNV analysis, Golden Helix is the market leader; supported by studies like Robarts Research Institute showing 100% concordance with MLPA. Additionally, the imported variants in your VarSeq project can be run through VSClinical’s automated ACMG and AMP guidelines. After completing secondary and tertiary processing, all analysis can be rendered into a clinical report which can be stored in VSWarehouse providing researchers and clinicians with access to this information and to view previous findings.
  19. Gabe portion: 15-20min
  20. Scaling the number of analyst's, then you have to optimize their time, ensure they have the compute infrastructure to match throughput BTW, ESHG talk will expand on this topics of scaling labs with a focus on unit econdomics, licensing and efficiency of lab personnel Corporate Satellite talk on Monday, June 13 from 12-1PM.
  21. Motivate why there are different programs: command line batch and vspipeline vs varseq desktop (interactive) vs warehouse (always present database)
  22. In-house IVDs May 2024, existing Class C IVDs May 2026, if proven no equivalent device May 2028 Know this, because performing this work, X SOPs, ~200 documents in document control, FTE for validation
  23. Mention 24h, we know things go wrong, so want a chance for a re-do
  24. Exomes 30 to 2 hours, median of an hour – optimized computational resources Success: bursty pipelines
  25. Mention cluser licensing model
  26. Mention cluser licensing model
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  29. Before we start diving into the subject, I wanted mention our appreciation for our grant funding from NIH. The research reported in this publication was supported by the National institute of general medical sciences of the national institutes of health under the listed awards. Additionally we are also grateful for receiving local grant funding from the state of Montana. Our PI is Dr. Andreas Scherer who is also the CEO at Golden Helix and the content described today is the responsibility of the authors and does not officially represent the views of the NIH. So with that covered, lets take just a few minutes to talk a little bit about our company Golden Helix.
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  31. Title: Browser Category: Web Tags: web, browser, mockup, product, preview, app, application, desktop, icon, text