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Next-generation sequencing
(NGS) 2020
Christian Frech
Bioinformatics Core Unit
CCRI Retreat Retz
April 13, 2015
NGS 2005
454 sequencer
Why “next”-generation sequencing?
(by 2005, compared to good ol’ Sanger)
• Massively parallel
– Millions of sequencing reactions vs. 96 wells
• Therefore much cheaper
– >1 Mio. $ vs. 25 Mio. $ for human genome
• Shorter reads
– 100 bp vs. 700 bp
• Higher error rate
– 1-2% error rate vs. 0.5%
2005 20102006 2007 2008 2009
454
Solexa GA1
HiSeq 2000
PacBio
Complete
Genomics
First Illumina
human genome +
First tumor/normal
pair
Helicos
single-molecule
454 Watson
Genome
Illumina GA2
Helicos
human genome
SOLiD
2005 20102006 2007 2008 2009
454
Solexa GA1
HiSeq 2000
PacBio
Complete
Genomics
First Illumina
human genome +
First tumor/normal
pair
Helicos
single-molecule
454 Watson
Genome
Illumina GA2
Helicos
human genome
SOLiD
2005 20102006 2007 2008 2009
454
Solexa GA1
HiSeq 2000
PacBio
Complete
Genomics
First Illumina
human genome +
First tumor/normal
pair
Helicos
single-molecule
454 Watson
Genome
Illumina GA2
Helicos
human genome
SOLiD
Genome Analyzer II
50bp reads, 3 Gb / run
2005 20102006 2007 2008 2009
454
Solexa GA1
HiSeq 2000
PacBio
Complete
Genomics
First Illumina
human genome +
First tumor/normal
pair
Helicos
single-molecule
454 Watson
Genome
Illumina GA2
Helicos
human genome
SOLiD
2005 20102006 2007 2008 2009
454
Solexa GA1
HiSeq 2000
PacBio
Complete
Genomics
First Illumina
human genome +
First tumor/normal
pair
Helicos
single-molecule
454 Watson
Genome
Illumina GA2
Helicos
human genome
SOLiD
2005 20102006 2007 2008 2009
454
Solexa GA1
HiSeq 2000
PacBio
Complete
Genomics
First Illumina
human genome +
First tumor/normal
pair
Helicos
single-molecule
454 Watson
Genome
Illumina GA2
Helicos
human genome
SOLiD
2005 20102006 2007 2008 2009
454
Solexa GA1
HiSeq 2000
PacBio
Complete
Genomics
First Illumina
human genome +
First
tumor/normal pair
Helicos
single-molecule
454 Watson
Genome
Illumina GA2
Helicos
human genome
SOLiD
2005 20102006 2007 2008 2009
454
Solexa GA1
HiSeq 2000
PacBio
Complete
Genomics
First Illumina
human genome +
First tumor/normal
pair
Helicos
single-molecule
454 Watson
Genome
Illumina GA2
Helicos
human genome
SOLiD
2005 20102006 2007 2008 2009
454
Solexa GA1
HiSeq 2000
PacBio
Complete
Genomics
First Illumina
human genome +
First tumor/normal
pair
Helicos
single-molecule
454 Watson
Genome
Illumina GA2
Helicos
human genome
SOLiD
Status quo 2010
• Illumina starts dominating NGS market due to
rapid improvements of their platform
– 200 Gb per run, >$10k for human genome
• Roche 454 10x more expensive, but still
valued for longer read length (~400 bp)
• Single-molecule sequencing platforms
(Helicos, PacBio) niche players
2010 20152011 2012 2013 2014
HiSeq
X Ten
MiSeq Nanopore
bact. genome
Nanopore
early access
Ion
Torrent
PGM PacBio
human genome
BGI acquires
Complete
Genomics
Helicos
bancrupt
Ion
Proton
454
shutdown
2010 20152011 2012 2013 2014
HiSeq
X Ten
MiSeq Nanopore
bact. genome
Nanopore
early access
Ion
Torrent
PGM PacBio
human genome
BGI acquires
Complete
Genomics
Helicos
bancrupt
Ion
Proton
454
shutdown
2010 20152011 2012 2013 2014
HiSeq
X Ten
MiSeq Nanopore
bact. genome
Nanopore
early access
Ion
Torrent
PGM PacBio
human genome
BGI acquires
Complete
Genomics
Helicos
bancrupt
Ion
Proton
454
shutdown
2010 20152011 2012 2013 2014
HiSeq
X Ten
MiSeq Nanopore
bact. genome
Nanopore
early access
Ion
Torrent
PGM PacBio
human genome
BGI acquires
Complete
Genomics
Helicos
bancrupt
Ion
Proton
454
shutdown
2010 20152011 2012 2013 2014
HiSeq
X Ten
MiSeq Nanopore
bact. genome
Nanopore
early access
Ion
Torrent
PGM PacBio
human genome
BGI acquires
Complete
Genomics
Helicos
bancrupt
Ion
Proton
454
shutdown
2010 20152011 2012 2013 2014
HiSeq
X Ten
MiSeq Nanopore
bact. genome
Nanopore
early access
Ion
Torrent
PGM PacBio
human genome
BGI acquires
Complete
Genomics
Helicos
bancrupt
Ion
Proton
454
shutdown
2010 20152011 2012 2013 2014
HiSeq
X Ten
MiSeq Nanopore
bact. genome
Nanopore
early access
Ion
Torrent
PGM PacBio
human genome
BGI acquires
Complete
Genomics
Helicos
bancrupt
Ion
Proton
454
shutdown
2010 20152011 2012 2013 2014
HiSeq
X Ten
MiSeq Nanopore
bact. genome
Nanopore
early access
Ion
Torrent
PGM PacBio
human genome
BGI acquires
Complete
Genomics
Helicos
bancrupt
Ion
Proton
454
shutdown
2010 20152011 2012 2013 2014
HiSeq
X Ten
MiSeq Nanopore
bact. genome
Nanopore
early access
Ion
Torrent
PGM PacBio
human genome
BGI acquires
Complete
Genomics
Helicos
bancrupt
Ion
Proton
454
shutdown
2010 20152011 2012 2013 2014
HiSeq
X Ten
MiSeq Nanopore
euk. genome
Nanopore
early access
Ion
Torrent
PGM PacBio
human genome
BGI acquires
Complete
Genomics
Helicos
bancrupt
Ion
Proton
454
shutdown
Status quo 2015
• Illumina clear market leader
– 80-90% market share
– 1,500 Gb per run, >$1k for human genome
• Most serious competitor is Ion Proton
– Behind schedule with Chip upgrade
• Single-molecule sequencers on the rise
– PacBio, Oxford Nanopore
• Routine human WGS in research and clinic
– <$500 EUR per sample
– Sequencing-as-a-service
– Phasing available for little extra money
• Exploding market for liquid biopsies driven by cheap targeted
sequencing and “precision medicine” initiatives
• Single-cell sequencing method of choice to study tumor
heterogeneity
• RNA-seq with negligible costs for sequencing
– <$20/sample; cost for library prep will dominate
– Microarrays are dead (…likely not only for gene expression analysis)
• Single-molecule sequencers still in niche
– Limited throughput, high error rates
– Rapid amplicon sequencing (results within minutes in the lab)
2015 2020
?
Implications for the CCRI
• New research opportunities
– WGS to characterize “atypical” tumors
– Liquid biopsies for solid tumors, disease monitoring
– Single-cell sequencing (RNA, DNA)
• Established assays will be increasingly complemented/challenged
by cheap sequencing alternatives
– PCR, FISH, MLPA, SNP-arrays
– WGS as one-stop solution for mutation/CNA/SV detection
• Data volumes will grow significantly
– Efficient computational pipelines utilizing all available hardware
– Storage capacity
– Cloud computing
Thank you!
SOLiD 2015

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NGS Evolution

  • 1. Next-generation sequencing (NGS) 2020 Christian Frech Bioinformatics Core Unit CCRI Retreat Retz April 13, 2015
  • 3. Why “next”-generation sequencing? (by 2005, compared to good ol’ Sanger) • Massively parallel – Millions of sequencing reactions vs. 96 wells • Therefore much cheaper – >1 Mio. $ vs. 25 Mio. $ for human genome • Shorter reads – 100 bp vs. 700 bp • Higher error rate – 1-2% error rate vs. 0.5%
  • 4. 2005 20102006 2007 2008 2009 454 Solexa GA1 HiSeq 2000 PacBio Complete Genomics First Illumina human genome + First tumor/normal pair Helicos single-molecule 454 Watson Genome Illumina GA2 Helicos human genome SOLiD
  • 5. 2005 20102006 2007 2008 2009 454 Solexa GA1 HiSeq 2000 PacBio Complete Genomics First Illumina human genome + First tumor/normal pair Helicos single-molecule 454 Watson Genome Illumina GA2 Helicos human genome SOLiD
  • 6. 2005 20102006 2007 2008 2009 454 Solexa GA1 HiSeq 2000 PacBio Complete Genomics First Illumina human genome + First tumor/normal pair Helicos single-molecule 454 Watson Genome Illumina GA2 Helicos human genome SOLiD
  • 7. Genome Analyzer II 50bp reads, 3 Gb / run 2005 20102006 2007 2008 2009 454 Solexa GA1 HiSeq 2000 PacBio Complete Genomics First Illumina human genome + First tumor/normal pair Helicos single-molecule 454 Watson Genome Illumina GA2 Helicos human genome SOLiD
  • 8. 2005 20102006 2007 2008 2009 454 Solexa GA1 HiSeq 2000 PacBio Complete Genomics First Illumina human genome + First tumor/normal pair Helicos single-molecule 454 Watson Genome Illumina GA2 Helicos human genome SOLiD
  • 9. 2005 20102006 2007 2008 2009 454 Solexa GA1 HiSeq 2000 PacBio Complete Genomics First Illumina human genome + First tumor/normal pair Helicos single-molecule 454 Watson Genome Illumina GA2 Helicos human genome SOLiD
  • 10. 2005 20102006 2007 2008 2009 454 Solexa GA1 HiSeq 2000 PacBio Complete Genomics First Illumina human genome + First tumor/normal pair Helicos single-molecule 454 Watson Genome Illumina GA2 Helicos human genome SOLiD
  • 11. 2005 20102006 2007 2008 2009 454 Solexa GA1 HiSeq 2000 PacBio Complete Genomics First Illumina human genome + First tumor/normal pair Helicos single-molecule 454 Watson Genome Illumina GA2 Helicos human genome SOLiD
  • 12. 2005 20102006 2007 2008 2009 454 Solexa GA1 HiSeq 2000 PacBio Complete Genomics First Illumina human genome + First tumor/normal pair Helicos single-molecule 454 Watson Genome Illumina GA2 Helicos human genome SOLiD
  • 13. Status quo 2010 • Illumina starts dominating NGS market due to rapid improvements of their platform – 200 Gb per run, >$10k for human genome • Roche 454 10x more expensive, but still valued for longer read length (~400 bp) • Single-molecule sequencing platforms (Helicos, PacBio) niche players
  • 14. 2010 20152011 2012 2013 2014 HiSeq X Ten MiSeq Nanopore bact. genome Nanopore early access Ion Torrent PGM PacBio human genome BGI acquires Complete Genomics Helicos bancrupt Ion Proton 454 shutdown
  • 15. 2010 20152011 2012 2013 2014 HiSeq X Ten MiSeq Nanopore bact. genome Nanopore early access Ion Torrent PGM PacBio human genome BGI acquires Complete Genomics Helicos bancrupt Ion Proton 454 shutdown
  • 16. 2010 20152011 2012 2013 2014 HiSeq X Ten MiSeq Nanopore bact. genome Nanopore early access Ion Torrent PGM PacBio human genome BGI acquires Complete Genomics Helicos bancrupt Ion Proton 454 shutdown
  • 17. 2010 20152011 2012 2013 2014 HiSeq X Ten MiSeq Nanopore bact. genome Nanopore early access Ion Torrent PGM PacBio human genome BGI acquires Complete Genomics Helicos bancrupt Ion Proton 454 shutdown
  • 18. 2010 20152011 2012 2013 2014 HiSeq X Ten MiSeq Nanopore bact. genome Nanopore early access Ion Torrent PGM PacBio human genome BGI acquires Complete Genomics Helicos bancrupt Ion Proton 454 shutdown
  • 19. 2010 20152011 2012 2013 2014 HiSeq X Ten MiSeq Nanopore bact. genome Nanopore early access Ion Torrent PGM PacBio human genome BGI acquires Complete Genomics Helicos bancrupt Ion Proton 454 shutdown
  • 20. 2010 20152011 2012 2013 2014 HiSeq X Ten MiSeq Nanopore bact. genome Nanopore early access Ion Torrent PGM PacBio human genome BGI acquires Complete Genomics Helicos bancrupt Ion Proton 454 shutdown
  • 21. 2010 20152011 2012 2013 2014 HiSeq X Ten MiSeq Nanopore bact. genome Nanopore early access Ion Torrent PGM PacBio human genome BGI acquires Complete Genomics Helicos bancrupt Ion Proton 454 shutdown
  • 22. 2010 20152011 2012 2013 2014 HiSeq X Ten MiSeq Nanopore bact. genome Nanopore early access Ion Torrent PGM PacBio human genome BGI acquires Complete Genomics Helicos bancrupt Ion Proton 454 shutdown
  • 23. 2010 20152011 2012 2013 2014 HiSeq X Ten MiSeq Nanopore euk. genome Nanopore early access Ion Torrent PGM PacBio human genome BGI acquires Complete Genomics Helicos bancrupt Ion Proton 454 shutdown
  • 24. Status quo 2015 • Illumina clear market leader – 80-90% market share – 1,500 Gb per run, >$1k for human genome • Most serious competitor is Ion Proton – Behind schedule with Chip upgrade • Single-molecule sequencers on the rise – PacBio, Oxford Nanopore
  • 25.
  • 26. • Routine human WGS in research and clinic – <$500 EUR per sample – Sequencing-as-a-service – Phasing available for little extra money • Exploding market for liquid biopsies driven by cheap targeted sequencing and “precision medicine” initiatives • Single-cell sequencing method of choice to study tumor heterogeneity • RNA-seq with negligible costs for sequencing – <$20/sample; cost for library prep will dominate – Microarrays are dead (…likely not only for gene expression analysis) • Single-molecule sequencers still in niche – Limited throughput, high error rates – Rapid amplicon sequencing (results within minutes in the lab) 2015 2020 ?
  • 27. Implications for the CCRI • New research opportunities – WGS to characterize “atypical” tumors – Liquid biopsies for solid tumors, disease monitoring – Single-cell sequencing (RNA, DNA) • Established assays will be increasingly complemented/challenged by cheap sequencing alternatives – PCR, FISH, MLPA, SNP-arrays – WGS as one-stop solution for mutation/CNA/SV detection • Data volumes will grow significantly – Efficient computational pipelines utilizing all available hardware – Storage capacity – Cloud computing