The automation of clinical NGS workflows provides a number of important benefits for labs. Automation reduces the time required to produce a clinical report, mitigates the possibility of human error, and improves the precision of clinical results. In turn, these benefits create higher profitability from a P&L perspective.
Golden Helix software is designed to meet these needs by automating the full analysis workflow from sequencer to clinical report on a fixed annual subscription model. We are looking forward to discussing the best practices of maximizing profitability in your NGS testing lab and how Golden Helix supports these efforts.
Join us in this webinar as we cover how to develop repeatable cancer and germline interpretation workflows that scale from panels to whole exomes and genomes.
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
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
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
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.
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
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.
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?
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
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.
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.
Gabe portion: 15-20min
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.
Motivate why there are different programs: command line batch and vspipeline vs varseq desktop (interactive) vs warehouse (always present database)
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
Mention 24h, we know things go wrong, so want a chance for a re-do
Exomes 30 to 2 hours, median of an hour – optimized computational resources
Success: bursty pipelines
Title: Browser
Category: Web
Tags: web, browser, mockup, product, preview, app, application, desktop, icon, text
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.
Title: Title with background
Category: Images
Tags: background, image, picture, half, window
Title: Browser
Category: Web
Tags: web, browser, mockup, product, preview, app, application, desktop, icon, text