SlideShare a Scribd company logo
Nanopore Sequencing
Hans Jansen
ZF-screens B.V.
ZF-screens B.V.
Common carp (Cyprinus carpio)
High throughput screening model
Genome and transcriptomes
European and Japanese eel (Anguilla anguilla and Anguilla japonica)
Completing the life cycle in aquaculture
Genome and transcriptomes
King cobra (Ophiophagus hannah)
Evolution and toxins
Genome and transcriptomes
But the quality of these genomes could be improved.
Dutch SME located in the Bioscience Park in Leiden, the Netherlands.
Compound screens, Fish fertility. Sequencing.
• Started to work on nanopore sensing in 2005
• Investments to date 251 million GBP (355 M€)
• Valued at 1.2 B€.
• Broad IP portfolio on nanopore sensing.
• Products: MinION and PromethION systems
Oxford Nanopore Technologies
But MAP is much more. It is about being a community and a playground to test new
applications and analysis tools.
Visible as a web portal with information from ONT and social media like system with
blog possibilities, comment, likes, and a forum to ask advice.
MinION Access Program
Inlet port
Electrode
Array of 2048 wells with nanopores embedded in
polymer membrane.
Underneath is an Application Specific Integrated Circuit
(ASIC) which contains the 512 signal amplifiers (SA).
MinION Flow Cell design
Waste reservoir
SA
well
After 24 hrs a well is exhausted and the
SA switches to a new well (remux).
Inlet port
Electrode
Array of 2048 wells with nanopores embedded in
polymer membrane.
Underneath is an Application Specific Integrated Circuit
(ASIC) which contains the 512 signal amplifiers (SA).
MinION Flow Cell design
Waste reservoir
SA
well
After 24 hrs a well is exhausted and the
SA switches to a new well (remux).
Stills taken from: https://www.nanoporetech.com/news/movies#movie-24-nanopore-dna-sequencing
The ion flux is partially blocked by the translocating DNA strand.
Potential (voltage) is applied across the membrane and there is a ion flux through the pore.
The ion flux is measured by an application-specific integrated circuit (ASIC).
+
-
Strand sequencing
ATP
ADP
Tethering oligo
Motor protein
Hairpin
abasic nucleotides
• Tethers keep the DNA molecules on the membrane to increase concentration of fragments.
• Motor protein unwinds ds DNA and ratchets it though the pore at a controlled rate.
• Abasic nucleotides in the hairpin are a marker for the basecaller to separate template and
complement data.
Tethering oligo
Adapter
Template strand
Complement strand
Strand sequencing
Template Complement
Bulk Data (ionic curent, pA)
Events (with time domain)
Squiggle (events with time domain removed)
~6 nucleotides are blocking the current when a DNA strand is in the pore, but
nucleotides around this k-mer can influence the signal.
AGGCTC
AGGCTCACTCCCATAAGC
A
C
G
C
G
T
A C
G
T
A
C
G
T
A
Base calling
T
Reading in k-mer space
AGGCTC
AGGCTCACTCCCATAAGC
A
C
G
C
G
T
A C
G
T
A
C
G
T
A
Base calling
T
Reading in k-mer space
AGGCTCACTCCCATAAGC
AGGCTC
GGCTCA
GCTCAC
CTCACT
TCACTC
CACTCC
ACTCCC
CTCCCA
The A is measured 6 times on the template strand and
the corresponding T 6 times on the complement strand.
Event
Event
Event
Event
Within an event the different possibilities have an
probability value attached to them. Base calling is
choosing a path through all possibilities with the
highest probability.
Read length is limited by the non-nicked fragment length rather than the by the system itself.
Longest 2D reads are over 100 Kbp, 1D reads over 200 Kbp.
Read length distribution
The base caller should model the translocation process in and around the pore.
Most errors are a result of the basecaller not being accurate enough.
Error rate lies around ~10-13% for current chemistry (R7.3 and MAP006). The contribution of
deletions, insertions and substitutions is more or less equal.
Challenging are still:
Homopolymers Time domain of the events might be used to resolve this.
DNA modifications Modified bases need to be added to the model.
AT rich area’s Better nanopores and better modeling.
Base caller code will be released shortly to enable the community to develop different base
callers.
In MARC data will be generated to enable the incorporation of modified bases in the base
calling model.
The R9 nanopore is in the pipeline (improving on G/C bias and better S/N).
Errors
GC content
June 2014 February 2016
Abundance of k-mers in the reads is plotted against the abundance in the reference
MinION Analysis and Reference Consortium
The MinION Analysis and Reference Consortium (MARC) is a
collaboration of members of MAP.
• Evaluate the reproducibility of the MinION platform
• Investigate improvements to the library preparation and running
protocols.
• Phase 1: 5 labs running the same protocols on the same samples.
A first paper was published on F1000research.com in a channel dedicated to the analysis
of nanopore sequence data (Ip, L. C., et al. doi: 10.12688/f1000research.7201.1)
http://f1000research.com/channels/nanoporeanalysis
MARC intends to publish more papers in this channel.
This channel is open to all papers that fall within the scope of the channel.
Reproducibility: flow cell yield
Active pores during a run
remux 24 hrs remux 48 hrs
Reproducibility: active pores
Percentage of active pores decreases during the run.
Amount of active pores can vary significantly.
Reproducibility: read length
Read length is influenced by the shearing conditions, DNA quality, g-TUBE.
We joined MAP right from the start.
Our first MinION arrived in April 2014 and the first flow cells and kits in June.
Since then we run ~50 Flow Cells.
MAPpers competition
Topped the leader board on read length and yield so we now have three MinION's.
MinION Access Program and ZF-screens
And one of these
is on the way
144000 channels producing 6.4 TB/day @ 500 bps/sec.
Basecalling is done locally.
Experimental design can be flexible. A loading port is connected to 750
channels (4 ports/Flow Cell). Flow Cells can be run independently from each
other.
PromethION
Conclusions
The Nanopore platform is very promising but its not completely ready for production.
The MinION is a platform with some unique characteristics.
• Very mobile.
• Cost structure is very different.
• Reads can be very long.
• Data can be accessed in real time.
Things that should be improved
• Flow cell quality.
• Base calling.
• Throughput.
What I would like to see happening
• Development of tools that work with the event data rather than the base called data.
• This might also allow for “streaming analysis”.
Ron Dirks (CEO of ZF-screens B.V.)
All members of the MARC consortium
Ewan Birney, EMBL-EBI
Camilla Ip, WTCHG Oxford
John Tyson, University of British Columbia
Justin O’Grady, UEA
Sara Goodwin, CSHL
Vadim Zalunin, EMBL-EBI
Miten Jain, UCSC
Matt Loose, Nottingham
Jared Simpson, OICR, Toronto
Acknowledgements
Rosemary Dokos
Oliver Hartwell
Christiaan Henkel (Assistant professor Leiden University)

More Related Content

What's hot

Nanopore sequencing
Nanopore sequencingNanopore sequencing
Nanopore sequencing
Leelesh singh
 
THIRD GEN SEQUENCING.pptx
THIRD GEN SEQUENCING.pptxTHIRD GEN SEQUENCING.pptx
THIRD GEN SEQUENCING.pptx
RITHIKA R S
 
NEXT GENERATION SEQUENCING
NEXT GENERATION SEQUENCINGNEXT GENERATION SEQUENCING
NEXT GENERATION SEQUENCING
MousumeeMahapatra1
 
NANOPORE SEQUENCING
NANOPORE SEQUENCINGNANOPORE SEQUENCING
NANOPORE SEQUENCING
Kuldeep Gauliya
 
Illumina infinium sequencing
Illumina infinium sequencingIllumina infinium sequencing
Illumina infinium sequencing
Ayush Jain
 
Pyrosequencing
PyrosequencingPyrosequencing
Biotechnophysics: DNA Nanopore Sequencing
Biotechnophysics: DNA Nanopore SequencingBiotechnophysics: DNA Nanopore Sequencing
Biotechnophysics: DNA Nanopore Sequencing
Melanie Swan
 
Next generation sequencing methods (final edit)
Next generation sequencing methods (final edit)Next generation sequencing methods (final edit)
Next generation sequencing methods (final edit)
Mrinal Vashisth
 
NanoPore Tequencing Technology
NanoPore Tequencing TechnologyNanoPore Tequencing Technology
NanoPore Tequencing Technology
Ahmed Madni
 
Third Generation Sequencing
Third Generation Sequencing Third Generation Sequencing
Third Generation Sequencing
priyanka raviraj
 
NGS - Basic principles and sequencing platforms
NGS - Basic principles and sequencing platformsNGS - Basic principles and sequencing platforms
NGS - Basic principles and sequencing platforms
Annelies Haegeman
 
NEXT GENERATION SEQUENCING
NEXT GENERATION SEQUENCINGNEXT GENERATION SEQUENCING
NEXT GENERATION SEQUENCING
Aayushi Pal
 
Ion Torrent Sequencing
Ion Torrent SequencingIon Torrent Sequencing
Ion Torrent Sequencing
USD Bioinformatics
 
Next generation sequencing
Next generation sequencingNext generation sequencing
Next generation sequencing
PALANIANANTH.S
 
Ngs introduction
Ngs introductionNgs introduction
Ngs introduction
Alagar Suresh
 
Next generation sequencing
Next generation sequencingNext generation sequencing
Next generation sequencing
Swathi Prabakar
 
DNA sequencing
DNA sequencingDNA sequencing
DNA sequencing
Microbiology
 
Dna sequencing ppt
Dna sequencing pptDna sequencing ppt
Dna sequencing ppt
Siddaraj Basavaraj
 
Next generation sequencing
Next generation sequencingNext generation sequencing
Next generation sequencing
Tapish Goel
 
A Comparison of NGS Platforms.
A Comparison of NGS Platforms.A Comparison of NGS Platforms.
A Comparison of NGS Platforms.mkim8
 

What's hot (20)

Nanopore sequencing
Nanopore sequencingNanopore sequencing
Nanopore sequencing
 
THIRD GEN SEQUENCING.pptx
THIRD GEN SEQUENCING.pptxTHIRD GEN SEQUENCING.pptx
THIRD GEN SEQUENCING.pptx
 
NEXT GENERATION SEQUENCING
NEXT GENERATION SEQUENCINGNEXT GENERATION SEQUENCING
NEXT GENERATION SEQUENCING
 
NANOPORE SEQUENCING
NANOPORE SEQUENCINGNANOPORE SEQUENCING
NANOPORE SEQUENCING
 
Illumina infinium sequencing
Illumina infinium sequencingIllumina infinium sequencing
Illumina infinium sequencing
 
Pyrosequencing
PyrosequencingPyrosequencing
Pyrosequencing
 
Biotechnophysics: DNA Nanopore Sequencing
Biotechnophysics: DNA Nanopore SequencingBiotechnophysics: DNA Nanopore Sequencing
Biotechnophysics: DNA Nanopore Sequencing
 
Next generation sequencing methods (final edit)
Next generation sequencing methods (final edit)Next generation sequencing methods (final edit)
Next generation sequencing methods (final edit)
 
NanoPore Tequencing Technology
NanoPore Tequencing TechnologyNanoPore Tequencing Technology
NanoPore Tequencing Technology
 
Third Generation Sequencing
Third Generation Sequencing Third Generation Sequencing
Third Generation Sequencing
 
NGS - Basic principles and sequencing platforms
NGS - Basic principles and sequencing platformsNGS - Basic principles and sequencing platforms
NGS - Basic principles and sequencing platforms
 
NEXT GENERATION SEQUENCING
NEXT GENERATION SEQUENCINGNEXT GENERATION SEQUENCING
NEXT GENERATION SEQUENCING
 
Ion Torrent Sequencing
Ion Torrent SequencingIon Torrent Sequencing
Ion Torrent Sequencing
 
Next generation sequencing
Next generation sequencingNext generation sequencing
Next generation sequencing
 
Ngs introduction
Ngs introductionNgs introduction
Ngs introduction
 
Next generation sequencing
Next generation sequencingNext generation sequencing
Next generation sequencing
 
DNA sequencing
DNA sequencingDNA sequencing
DNA sequencing
 
Dna sequencing ppt
Dna sequencing pptDna sequencing ppt
Dna sequencing ppt
 
Next generation sequencing
Next generation sequencingNext generation sequencing
Next generation sequencing
 
A Comparison of NGS Platforms.
A Comparison of NGS Platforms.A Comparison of NGS Platforms.
A Comparison of NGS Platforms.
 

Similar to 20160308 dtl ngs_focus_group_meeting_slideshare

20150601 bio sb_assembly_course
20150601 bio sb_assembly_course20150601 bio sb_assembly_course
20150601 bio sb_assembly_course
hansjansen9999
 
BEST PRACTICE TO MAXIMIZE THROUGHPUT WITH NANOPORE TECHNOLOGY & DE NOVO SEQUE...
BEST PRACTICE TO MAXIMIZE THROUGHPUT WITH NANOPORE TECHNOLOGY & DE NOVO SEQUE...BEST PRACTICE TO MAXIMIZE THROUGHPUT WITH NANOPORE TECHNOLOGY & DE NOVO SEQUE...
BEST PRACTICE TO MAXIMIZE THROUGHPUT WITH NANOPORE TECHNOLOGY & DE NOVO SEQUE...
Baptiste Mayjonade
 
BioSB meeting 2015
BioSB meeting 2015BioSB meeting 2015
BioSB meeting 2015
hansjansen9999
 
Genome in a Bottle - Towards new benchmarks for the “dark matter” of the huma...
Genome in a Bottle - Towards new benchmarks for the “dark matter” of the huma...Genome in a Bottle - Towards new benchmarks for the “dark matter” of the huma...
Genome in a Bottle - Towards new benchmarks for the “dark matter” of the huma...
GenomeInABottle
 
Making powerful science: an introduction to NGS and beyond
Making powerful science: an introduction to NGS and beyondMaking powerful science: an introduction to NGS and beyond
Making powerful science: an introduction to NGS and beyond
AdamCribbs1
 
Hamas 1
Hamas 1Hamas 1
2012 august 16 systems biology rna seq v2
2012 august 16 systems biology rna seq v22012 august 16 systems biology rna seq v2
2012 august 16 systems biology rna seq v2Anne Deslattes Mays
 
Ion torrent and SOLiD Sequencing Techniques
Ion torrent and SOLiD Sequencing Techniques Ion torrent and SOLiD Sequencing Techniques
Ion torrent and SOLiD Sequencing Techniques
fikrem24yahoocom6261
 
Introduction to Apollo for i5k
Introduction to Apollo for i5kIntroduction to Apollo for i5k
Introduction to Apollo for i5k
Monica Munoz-Torres
 
Next generation sequences
Next generation sequencesNext generation sequences
Next generation sequences
Bhanu Krishan
 
NGS Pipeline Preparation - Tools Selection
NGS Pipeline Preparation - Tools SelectionNGS Pipeline Preparation - Tools Selection
NGS Pipeline Preparation - Tools Selection
Minesh A. Jethva
 
Introduction to Next-Generation Sequencing (NGS) Technology
Introduction to Next-Generation Sequencing (NGS) TechnologyIntroduction to Next-Generation Sequencing (NGS) Technology
Introduction to Next-Generation Sequencing (NGS) Technology
QIAGEN
 
Long read sequencing - WEHI bioinformatics seminar - tue 16 june 2015
Long read sequencing -  WEHI  bioinformatics seminar - tue 16 june 2015Long read sequencing -  WEHI  bioinformatics seminar - tue 16 june 2015
Long read sequencing - WEHI bioinformatics seminar - tue 16 june 2015
Torsten Seemann
 
rnaseq2015-02-18-170327193409.pdf
rnaseq2015-02-18-170327193409.pdfrnaseq2015-02-18-170327193409.pdf
rnaseq2015-02-18-170327193409.pdf
Pushpendra83
 
wings2014 Workshop 1 Design, sequence, align, count, visualize
wings2014 Workshop 1 Design, sequence, align, count, visualizewings2014 Workshop 1 Design, sequence, align, count, visualize
wings2014 Workshop 1 Design, sequence, align, count, visualize
Ann Loraine
 
Next Generation Sequencing
Next Generation SequencingNext Generation Sequencing
Next Generation Sequencing
shinycthomas
 
DNA Libraries / Genomic DNA vs cDNA .pdf
DNA Libraries / Genomic DNA vs cDNA .pdfDNA Libraries / Genomic DNA vs cDNA .pdf
DNA Libraries / Genomic DNA vs cDNA .pdf
SELF-EXPLANATORY
 
whole-genome-sequencing-guide-small-genomes.pdf.pdf
whole-genome-sequencing-guide-small-genomes.pdf.pdfwhole-genome-sequencing-guide-small-genomes.pdf.pdf
whole-genome-sequencing-guide-small-genomes.pdf.pdf
CRISTIANALONSORODRIG1
 
AdamAmeur_SciLife_Bioinfo_course_Nov2015.ppt
AdamAmeur_SciLife_Bioinfo_course_Nov2015.pptAdamAmeur_SciLife_Bioinfo_course_Nov2015.ppt
AdamAmeur_SciLife_Bioinfo_course_Nov2015.ppt
RuthMWinnie
 

Similar to 20160308 dtl ngs_focus_group_meeting_slideshare (20)

20150601 bio sb_assembly_course
20150601 bio sb_assembly_course20150601 bio sb_assembly_course
20150601 bio sb_assembly_course
 
BEST PRACTICE TO MAXIMIZE THROUGHPUT WITH NANOPORE TECHNOLOGY & DE NOVO SEQUE...
BEST PRACTICE TO MAXIMIZE THROUGHPUT WITH NANOPORE TECHNOLOGY & DE NOVO SEQUE...BEST PRACTICE TO MAXIMIZE THROUGHPUT WITH NANOPORE TECHNOLOGY & DE NOVO SEQUE...
BEST PRACTICE TO MAXIMIZE THROUGHPUT WITH NANOPORE TECHNOLOGY & DE NOVO SEQUE...
 
BioSB meeting 2015
BioSB meeting 2015BioSB meeting 2015
BioSB meeting 2015
 
Genome in a Bottle - Towards new benchmarks for the “dark matter” of the huma...
Genome in a Bottle - Towards new benchmarks for the “dark matter” of the huma...Genome in a Bottle - Towards new benchmarks for the “dark matter” of the huma...
Genome in a Bottle - Towards new benchmarks for the “dark matter” of the huma...
 
Making powerful science: an introduction to NGS and beyond
Making powerful science: an introduction to NGS and beyondMaking powerful science: an introduction to NGS and beyond
Making powerful science: an introduction to NGS and beyond
 
Hamas 1
Hamas 1Hamas 1
Hamas 1
 
2012 august 16 systems biology rna seq v2
2012 august 16 systems biology rna seq v22012 august 16 systems biology rna seq v2
2012 august 16 systems biology rna seq v2
 
Ion torrent and SOLiD Sequencing Techniques
Ion torrent and SOLiD Sequencing Techniques Ion torrent and SOLiD Sequencing Techniques
Ion torrent and SOLiD Sequencing Techniques
 
Introduction to Apollo for i5k
Introduction to Apollo for i5kIntroduction to Apollo for i5k
Introduction to Apollo for i5k
 
Next generation sequences
Next generation sequencesNext generation sequences
Next generation sequences
 
NGS Pipeline Preparation - Tools Selection
NGS Pipeline Preparation - Tools SelectionNGS Pipeline Preparation - Tools Selection
NGS Pipeline Preparation - Tools Selection
 
Introduction to Next-Generation Sequencing (NGS) Technology
Introduction to Next-Generation Sequencing (NGS) TechnologyIntroduction to Next-Generation Sequencing (NGS) Technology
Introduction to Next-Generation Sequencing (NGS) Technology
 
Long read sequencing - WEHI bioinformatics seminar - tue 16 june 2015
Long read sequencing -  WEHI  bioinformatics seminar - tue 16 june 2015Long read sequencing -  WEHI  bioinformatics seminar - tue 16 june 2015
Long read sequencing - WEHI bioinformatics seminar - tue 16 june 2015
 
RNA-Seq
RNA-SeqRNA-Seq
RNA-Seq
 
rnaseq2015-02-18-170327193409.pdf
rnaseq2015-02-18-170327193409.pdfrnaseq2015-02-18-170327193409.pdf
rnaseq2015-02-18-170327193409.pdf
 
wings2014 Workshop 1 Design, sequence, align, count, visualize
wings2014 Workshop 1 Design, sequence, align, count, visualizewings2014 Workshop 1 Design, sequence, align, count, visualize
wings2014 Workshop 1 Design, sequence, align, count, visualize
 
Next Generation Sequencing
Next Generation SequencingNext Generation Sequencing
Next Generation Sequencing
 
DNA Libraries / Genomic DNA vs cDNA .pdf
DNA Libraries / Genomic DNA vs cDNA .pdfDNA Libraries / Genomic DNA vs cDNA .pdf
DNA Libraries / Genomic DNA vs cDNA .pdf
 
whole-genome-sequencing-guide-small-genomes.pdf.pdf
whole-genome-sequencing-guide-small-genomes.pdf.pdfwhole-genome-sequencing-guide-small-genomes.pdf.pdf
whole-genome-sequencing-guide-small-genomes.pdf.pdf
 
AdamAmeur_SciLife_Bioinfo_course_Nov2015.ppt
AdamAmeur_SciLife_Bioinfo_course_Nov2015.pptAdamAmeur_SciLife_Bioinfo_course_Nov2015.ppt
AdamAmeur_SciLife_Bioinfo_course_Nov2015.ppt
 

Recently uploaded

The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
Laura Byrne
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Ramesh Iyer
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
Cheryl Hung
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
Frank van Harmelen
 
ODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User GroupODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User Group
CatarinaPereira64715
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
Product School
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
Sri Ambati
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
Product School
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
Jemma Hussein Allen
 
"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi
Fwdays
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Jeffrey Haguewood
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
Elena Simperl
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
Product School
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
UiPathCommunity
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
Paul Groth
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
Abida Shariff
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Thierry Lestable
 

Recently uploaded (20)

The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
 
ODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User GroupODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User Group
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
 
"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
 

20160308 dtl ngs_focus_group_meeting_slideshare

  • 2. ZF-screens B.V. Common carp (Cyprinus carpio) High throughput screening model Genome and transcriptomes European and Japanese eel (Anguilla anguilla and Anguilla japonica) Completing the life cycle in aquaculture Genome and transcriptomes King cobra (Ophiophagus hannah) Evolution and toxins Genome and transcriptomes But the quality of these genomes could be improved. Dutch SME located in the Bioscience Park in Leiden, the Netherlands. Compound screens, Fish fertility. Sequencing.
  • 3. • Started to work on nanopore sensing in 2005 • Investments to date 251 million GBP (355 M€) • Valued at 1.2 B€. • Broad IP portfolio on nanopore sensing. • Products: MinION and PromethION systems Oxford Nanopore Technologies
  • 4. But MAP is much more. It is about being a community and a playground to test new applications and analysis tools. Visible as a web portal with information from ONT and social media like system with blog possibilities, comment, likes, and a forum to ask advice. MinION Access Program
  • 5. Inlet port Electrode Array of 2048 wells with nanopores embedded in polymer membrane. Underneath is an Application Specific Integrated Circuit (ASIC) which contains the 512 signal amplifiers (SA). MinION Flow Cell design Waste reservoir SA well After 24 hrs a well is exhausted and the SA switches to a new well (remux).
  • 6. Inlet port Electrode Array of 2048 wells with nanopores embedded in polymer membrane. Underneath is an Application Specific Integrated Circuit (ASIC) which contains the 512 signal amplifiers (SA). MinION Flow Cell design Waste reservoir SA well After 24 hrs a well is exhausted and the SA switches to a new well (remux).
  • 7. Stills taken from: https://www.nanoporetech.com/news/movies#movie-24-nanopore-dna-sequencing The ion flux is partially blocked by the translocating DNA strand. Potential (voltage) is applied across the membrane and there is a ion flux through the pore. The ion flux is measured by an application-specific integrated circuit (ASIC). + - Strand sequencing ATP ADP
  • 8. Tethering oligo Motor protein Hairpin abasic nucleotides • Tethers keep the DNA molecules on the membrane to increase concentration of fragments. • Motor protein unwinds ds DNA and ratchets it though the pore at a controlled rate. • Abasic nucleotides in the hairpin are a marker for the basecaller to separate template and complement data. Tethering oligo Adapter Template strand Complement strand Strand sequencing Template Complement
  • 9. Bulk Data (ionic curent, pA) Events (with time domain) Squiggle (events with time domain removed) ~6 nucleotides are blocking the current when a DNA strand is in the pore, but nucleotides around this k-mer can influence the signal. AGGCTC AGGCTCACTCCCATAAGC A C G C G T A C G T A C G T A Base calling T Reading in k-mer space
  • 10. AGGCTC AGGCTCACTCCCATAAGC A C G C G T A C G T A C G T A Base calling T Reading in k-mer space AGGCTCACTCCCATAAGC AGGCTC GGCTCA GCTCAC CTCACT TCACTC CACTCC ACTCCC CTCCCA The A is measured 6 times on the template strand and the corresponding T 6 times on the complement strand. Event Event Event Event Within an event the different possibilities have an probability value attached to them. Base calling is choosing a path through all possibilities with the highest probability.
  • 11. Read length is limited by the non-nicked fragment length rather than the by the system itself. Longest 2D reads are over 100 Kbp, 1D reads over 200 Kbp. Read length distribution
  • 12. The base caller should model the translocation process in and around the pore. Most errors are a result of the basecaller not being accurate enough. Error rate lies around ~10-13% for current chemistry (R7.3 and MAP006). The contribution of deletions, insertions and substitutions is more or less equal. Challenging are still: Homopolymers Time domain of the events might be used to resolve this. DNA modifications Modified bases need to be added to the model. AT rich area’s Better nanopores and better modeling. Base caller code will be released shortly to enable the community to develop different base callers. In MARC data will be generated to enable the incorporation of modified bases in the base calling model. The R9 nanopore is in the pipeline (improving on G/C bias and better S/N). Errors
  • 13. GC content June 2014 February 2016 Abundance of k-mers in the reads is plotted against the abundance in the reference
  • 14. MinION Analysis and Reference Consortium The MinION Analysis and Reference Consortium (MARC) is a collaboration of members of MAP. • Evaluate the reproducibility of the MinION platform • Investigate improvements to the library preparation and running protocols. • Phase 1: 5 labs running the same protocols on the same samples. A first paper was published on F1000research.com in a channel dedicated to the analysis of nanopore sequence data (Ip, L. C., et al. doi: 10.12688/f1000research.7201.1) http://f1000research.com/channels/nanoporeanalysis MARC intends to publish more papers in this channel. This channel is open to all papers that fall within the scope of the channel.
  • 16. Active pores during a run remux 24 hrs remux 48 hrs
  • 17. Reproducibility: active pores Percentage of active pores decreases during the run. Amount of active pores can vary significantly.
  • 18. Reproducibility: read length Read length is influenced by the shearing conditions, DNA quality, g-TUBE.
  • 19. We joined MAP right from the start. Our first MinION arrived in April 2014 and the first flow cells and kits in June. Since then we run ~50 Flow Cells. MAPpers competition Topped the leader board on read length and yield so we now have three MinION's. MinION Access Program and ZF-screens And one of these is on the way
  • 20. 144000 channels producing 6.4 TB/day @ 500 bps/sec. Basecalling is done locally. Experimental design can be flexible. A loading port is connected to 750 channels (4 ports/Flow Cell). Flow Cells can be run independently from each other. PromethION
  • 21. Conclusions The Nanopore platform is very promising but its not completely ready for production. The MinION is a platform with some unique characteristics. • Very mobile. • Cost structure is very different. • Reads can be very long. • Data can be accessed in real time. Things that should be improved • Flow cell quality. • Base calling. • Throughput. What I would like to see happening • Development of tools that work with the event data rather than the base called data. • This might also allow for “streaming analysis”.
  • 22. Ron Dirks (CEO of ZF-screens B.V.) All members of the MARC consortium Ewan Birney, EMBL-EBI Camilla Ip, WTCHG Oxford John Tyson, University of British Columbia Justin O’Grady, UEA Sara Goodwin, CSHL Vadim Zalunin, EMBL-EBI Miten Jain, UCSC Matt Loose, Nottingham Jared Simpson, OICR, Toronto Acknowledgements Rosemary Dokos Oliver Hartwell Christiaan Henkel (Assistant professor Leiden University)