Applications of PacBio Single Molecule, Real- Time (SMRT) DNA Sequencing
|
|
- Ethelbert Robertson
- 6 years ago
- Views:
Transcription
1 Applications of PacBio Single Molecule, Real- Time (SMRT) DNA Sequencing Stephen Turner November 5, 2014 FIND MEANING IN COMPLEXITY For Research Use Only. Not for use in diagnostic procedures. Pacific Biosciences, the Pacific Biosciences logo, PacBio, SMRT, and SMRTbell are trademarks of Pacific Biosciences in the United States and/or other countries. Covaris is a trademark of Covaris, Inc.; g-tube is a trademark of Bio Plas, Inc.; Caliper and Sciclone are trademarks of Caliper Life Sciences, Inc.; Agilent is a trademark of Agilent Technologies, Inc.; 454 is a trademark of Roche Diagnostics; and Illumina and Moleculo are trademarks of Illumina, Inc. Copyright 2014 by Pacific Biosciences of California, Inc. All rights reserved.
2 Single-Molecule, Real-Time DNA Sequencing Is: DNA Polymerase
3 Let The Polymerases Sequence Without Stopping!
4 The Zero-Mode Waveguide Enables Single-Molecule Detection Observation Volume Confinement ~20 x liters PACIFIC BIOSCIENCES CONFIDENTIAL Science, Vol 299, Jan , pp , J. Appl. Phys. 103, (2008)
5 We Attach The Fluorophore To The Terminal Phosphate Instead 5
6 The System In Operation
7 The PacBio RS II PACIFIC BIOSCIENCES CONFIDENTIAL
8 Under the Covers PACIFIC BIOSCIENCES CONFIDENTIAL
9 Example Sequencing Run
10 >100 bases / minute
11 Sample Preparation FIND MEANING IN COMPLEXITY 11 Copyright 2013 by Pacific Biosciences of California, Inc. All rights reserved.
12 SMRTbell Sample Preparation Genomic Fragment Universal Adapters 12
13 SMRTbell Sample Preparation Ligation 13
14 SMRTbell Sample Preparation Primer 14
15 SMRTbell Sample Preparation Primer Polymerase 15
16 SMRTbell Sample Preparation 16
17 Performance Attributes FIND MEANING IN COMPLEXITY 17 Copyright 2013 by Pacific Biosciences of California, Inc. All rights reserved.
18 Average Read Length (bp) PacBio Reads: NEW! P6-C4 Chemistry Average read length: 10,000-15,000 bp Throughput / SMRT Cell: 500 Mb 1 Gb Consensus accuracy: P6 C P5 C P4 C Early PacBio chemistries LPR FCR ECR2 C2 C Available products
19 P6-C4: Read Length Performance E. coli P6-C4, 4-hr movie, 20-kb BluePippin size-selected E. coli library (1 SMRT Cell) 19
20 QV Consensus Accuracy Performance Comparison Second Gen Accuracy Range Perfect consensus ~QV 50 consensus accuracy coverage: P6-C4 30x ±10 P4-C2 30x ±10 P5-C3 45x ± Coverage Aligned to Reference 20 kb E. coli library Resequencing analysis with SMRT Analysis v2.3 20
21 Achieve High Consensus Accuracy (> %, QV60) PacBio Evaluation Study for Microbial Genomes Koren S., et. al. (2013) Reducing assembly complexity of microbial genomes with single molecule sequencing. Genome Biology, 14:R101
22 Least Sequence Context Bias
23 Normalized coverage Lack of Sequencing Bias E. coli (50% GC) R. pal. (65% GC) B. sub. (43% GC) GC content (%)
24 Epigenome Information
25 Outline De Novo Assembly Complex Eukaryotic Genomes Structural Variation IsoSeq: Full Length RNA Sequencing Technology Roadmap 25
26 PacBio Assembles Microbial Genomes Into Single Contigs 26
27 Comparison of RS closed chromosome sequence- Genome Bareilly CFSAN against MiSeq and 454 RS was capable (and Miseq and 454 were incapable) of reading through a phage Peter Evans (FDA), ASM Meeting, May 2013
28 Selected Plant and Animal Genome Projects: 2013 & 2014 Bacteria 1-10 Mb Finished Genomes Yeast 12 Mb Resolve most chromosomes Arabidopsis 120 Mb Contig N Mb Drosophila 170 Mb Contig N50 15 Mb Spinach 1 Gb Contig N50 > 1Mb Human 3.2 Gb Contig N Mb Max=44 Mb
29 PacBio -Only De Novo Sequencing of Yeast I II III IV V VI VII VIII IX X XI XII XIII XIV XV XVI M 100 kb Reference (S228C): 17 contigs Genome size = 12.3 Mb PacBio DevNet Datasets HGAP de novo assembly : 30 contigs (W303 strain) Assembly size = 12.3 Mb N50 = 770 kb Max contig = 1.5 Mb (chr. IV)
30 PacBio-Only Sequencing of Arabidopsis PacBio data recently used to assembly Ler-0 strain Estimated Genome Size Short-read (Ler 1)* PacBio reads (Ler-0) Improvement 110,357, ,572, % Contigs 4, X N50 Contig Length Max Contig Length 66,600 6,190,353 93X 462,490 12,982,390 28X * Read Blog blog.pacificbiosciences.com Download pacb.com/devnet
31 200,000+ SNPs Were Missed In Short-Read Assemblies Mapping of Illumina PE or PacBio Assemblies to TAIR 10 Ler0 ILMN PE 27,106 Cvi ILMN PE 55, ,836 95%/68% 685,104 92%/72% PacBio Ler0 Assembly 238,637 PacBio Cvi Assembly 271,335 In collaboration with Joe Ecker at Salk Institute for Biological Studies Not only did PacBio discover pretty much everything that Illumina pairedend reads was able to find, in this case 95% and 92%, it identified another 250,000 of these variants Chongyuan Luo, Ph.D The Salk Institute for Biological Studies Resolving the Complexity of Genomic and Epigenetic Variations in Arabidopsis PAG 2014 Workshop blog.pacificsciences.com
32 SNP Discovery with PacBio Assemblies PacBio assembly identifies SNPs in Illumina lowcoverage (unmappable) regions Called SNPs between Cvi and Col Both Illumina only PacBio only Analysis by Jason Chin Watch Arabidopsis Genome blog.pacificbiosciences.com Other PAG XXII Recordings 32
33 Long-Read Shotgun Human Genome Data Release
34 Long-Read Shotgun Human Genome Data Release Total number of reads: 21,856,161 bp Total number of post-filtered bases: 167,851,128,644 bp Average throughput per SMRT Cell: 608 Mb Average DNA insert length: 7,680 bp Half of sequenced bases in reads greater than: 10,739 bp Longest DNA insert sequenced: 42,774 bp
35 Human Genome De Novo Assemblies Comparison Contig N50 (kb) HuRef (Venter) BGI YH KB1 NA12878 RP11_0.7 CHM1 CHM1 Technology ABI 3730 Illumina GA 454 GS FLX Titanium Illumina GA 454 GS, HiSeq, MiSeq HiSeq, BAC clones PacBio RS II Assembly method Celera Assembler SOAP de novo Newbler ALLPATHS-LG Newbler Reference Guided FALCON, Celera Assembler # of library types NA 1 Total assembly size (Gb) Data sources: HuRef (Venter) ( BGI YH ( 20/2/265.abstract Table II); KB1 ( NA12878 ( early/2010/12/20/ abstract Table3); CHM1 (
36 Comparison of Human CHM1 Assemblies 44 MB contig 2014 PacBio de novo 2013 reference-guided short-read with BACs gaps MHC region
37 Comparison MHC from Assembly vs. GRCh37 Reference De novo assembly is co-linear with reference, but has many SNP & structural differences: 50 kb
38 Comparison MHC from Assembly vs. GRCh37 Reference De novo assembly is co-linear with reference, but has many SNP & structural differences: 50 kb
39 MHC Region PacBio Reads Mapped against GRCh37 Discontinuities indicate structural differences of CHM1 MHC vs. human reference genome MHC: Reads are shaded by length, black: >10 kb
40 MHC Region PacBio Reads Mapped against GRCh37 Discontinuities indicate structural differences of CHM1 MHC vs. human reference genome MHC: Reads are shaded by length, black: >10 kb
41 Structural Variation Detection by 2 nd Gen Technologies We observed that current high-throughput sequencing approaches only detected a fraction of the full size-spectrum of insertions, deletions, and copy number variants compared with a previously published, Sangersequenced human genome. Generating longer reads can mitigate these shortcomings. Pang et al. (2014) G3. doi: /g
42 Architecture of a Scrambled Genome
43 Public Datasets Comparison Aligned against GRCh37 Chromosome PacBio coverage PacBio reads HiSeq coverage HiSeq reads Genes HiSeq data have several regions that are missed or have poor coverage
44 HLA-C Immune System Response HiSeq data have several regions that are missed or have poor coverage
45 HLA-B Immune System Response
46 HLA-DRB1 Immune System Response
47 SHANK3 Involved in Autism HiSeq data miss 1 st exon and upstream region entirely
48 SHANK3 Involved in Autism CCCCGTCACAGCCCCCCAGACCCCCGCCCCGTGGCTCGGCCCCCGCCCTCCGCACACACCT CCCGCCCCCACCCGGGACCCCGCAAGTAACCCCCCAGCACTGGCCCTGAGCCCTCCCGGCC CCCGCCTCCGGCGCAGCCCCCTCGCCACCCCCGCTTCCCTCCCGTCTCAGGCCCCCTCCCCC CGCCGCCCCCGCCCCCGGGGAAGGCAGGCGCCGAGCTGAGCCGGGGCCGATGCAGCTG AGCCGCGCCGCCGCCGCCGCCGCCGCCGCCCCTGCGGAGCCCCCGGAGCCGCTGTCCCCC GCGCCGGCCCCGGCCCCGGCCCCCCCCGGCCCCCTCCCGCGCAGCGCGGCCGACGGGGC TCCGGCGGGGGGGAAGGGGGGGCCGGGGCGCCGCGCGCGGAGTCCCCGGGCGCTCCG TTCCCCGGCGCGAGCGGCCCCGGCCCGGGCCCCGGCGCGGGGATGGACGGCCCCGGGG CCAGCGCCGTGGTCGTGCGCGTCGGCATCCCGGACCTGCAGCAGACGGTGAGCCCCG 85% GC-rich
49 FLT3 Important in Acute Myeloid Leukemia HiSeq data misses region downstream of the gene
50 FLT3 Important in Acute Myeloid Leukemia TATATATAAATATATGTTATATATACATAAATATATGTTATATATATTTATATATATTTATATACATA TAAATATATATATTTATATACATATATAAAAATATATATATATTTATATATAAATATATGTTATATAT ATTTATATACATATAAATATATATTTATATACATATAAATATATATTTATATACATATAAATATATGT ATATACATATAAATATATATTTATATACATATAAATATATATTTATATACATATAAATATATGTATAT ACATATATATATGTATATACATATAAATATATATGTATATACATATAAATATATATGTATATACATAT AAATATATATAATATTTATATACATATATATATTTATATTTATATGTATATACATATATATTTATATTT ATATGTATATACATATATATATTTATATTTATATGTATATACATATATATATGTATATAAATATATAT ATTTATATGTATATAATATACATACATATATATATATTTTTT 94% AT-rich
51 FMR1 Causes Fragile X Syndrome HiSeq data has gap in causative CGG repeat
52 Sequencing the Unsequenceable 52
53 FMR1 - Fragile X Syndrome Human Reference (GRCh37) Illumina X10 Data (Short Reads) PACIFIC BIOSCIENCES CONFIDENTIAL Misses CGG repeat region which causes fragile X syndrome Data from:
54 TBX1 Implicated in Heart Defects HiSeq data miss portion of 2 nd intron and 3 rd exon
55 BEAN1 Implicated in Spinocerebellar Ataxia Type 31 HiSeq data miss 1 st exon entirely (GC-rich)
56 Genomic Variation Detection by 2 nd Gen Technologies Depending on the sequencing platform, 10% to 19% of inherited disease genes were not covered to accepted standards for single nucleotide variant discovery. Dewey et al. (2014) JAMA. 311:
57 Resolving Tandem Repeats with PacBio Long Reads PACIFIC BIOSCIENCES CONFIDENTIAL Bashir et al. (2014) Bioinformatics doi: /bioinformatics/btu437
58 Evan Eichler Key Opinion Leader in Human Genetics At the October 21 st meeting of the American Society of Human Genetics Pacbio accesses 99.6% of the human genome, compared to 85% for Illumina Evan Eichler, University of Washington PACIFIC BIOSCIENCES CONFIDENTIAL 58
59 Medical Grade Human Genome!! To get to a medical grade genome, or a genome that can be used for clinical diagnostic purposes, we need to have the most accurate and complete genome for each individual. We believe that the PacBio SMRT machines will help us reach this goal. For the Asian Genome Project, Macrogen and GMI investigators are seeking a more complete Asian reference genome to pursue detailed analyses of the populations in Asia. "Our goal is to make a complete Asian reference genome for future medical practice," Macrogen's Seo said, noting that the team is pursuing a "medical grade" genome sequence that is highly accurate and can serve as a reference in both research and clinical settings. 59
60 Targeted Sequencing FIND MEANING IN COMPLEXITY For Research Use Only. Not for use in diagnostic procedures.. Copyright 2014 by Pacific Biosciences of California, Inc. All rights reserved.
61 Now Covers Entire Genes (With Introns)! Only possible with long-read sequencing technology Full-length targeted gene Long insert converted into SMRTbell template ,000 bases Continuous Long Reads (CLRs)
62 Advantages to Using SMRT Sequencing for HLA Typing 2 nd Generation Full-Length 2 nd Generation Gene Sanger PacBio Short-Read Sequencing Reads Sequencing by Short-Read Assembly SNP1 SNP2 PacBio technology can avoid all of these problems Ambiguity: 62
63 Targeted Sequencing: HLA Full-Length Gene Sequencing HLA Class I Genes: HLA-A, -B, -C HLA Class II Genes: HLA-DQA1, -DQB1, -DPA1, -DPB1, -DRB 5 UTR UTR HLA-A (5.5 kb) 5 UTR UTR HLA-B (4.6kb) 5 UTR UTR HLA-C (4.8 kb) 5 UTR UTR HLA-DQA1 (7.5 kb) 5 UTR UTR HLA-DQB1 (9.1 kb) 5 UTR UTR HLA-DPA1 (9.7 kb) 5 UTR UTR HLA-DPB1 (5.9 kb) (7.2Kb) 5 UTR UTR HLA-DRB1 (6 to11 kb) (5 to 6 kb) Exon Intron Primer **Gene structure not to scale 63
64 See the Whole Gene Fully phased, allele-specific HLA sequencing: Full-length, continuous long reads covering the heterozygous HLA-A gene Example shown from collaboration with Stanford Genome Technology Center, allele pair from cell line
65 FLT3 Compound Mutations and Haplotype Phasing FLT3 mutations impact acute myeloid leukemia treatment Activating internal tandem duplication (ITD) mutations in FLT3 detected in ~ 20% of AML patients and associated with a poor prognosis Case Study: A New Hope in Acute Myeloid Leukemia Treatment Potential resistance mutations located > 800 bp away from ITD region E608 F691 D835 Y842 ITD ( bp repeat) > 800 bp One PacBio Read Spans Region Smith et al. (2012) Validation of ITD mutations in FLT3 as a therapeutic target in human acute myeloid leukemia. Nature 485,
66 Smith et al. Used PacBio to Prove it is Driver Mutation 66
67 The Immune Repertoire 67
68 Identify Novel Pathogen-specific Antigen Binding Capture full-length IgG variable regions Differentiate between transcripts in mixed cdna samples with high accuracy Characterize diversity of antigen binding residues of complementarity determining regions (CDRs) Identify unusually long CDR3 sequences (21-25, up to 62 amino acids, compared to the usual 5-6) Identify novel pathogen-specific antigen binding in controlled experiments Larsen P.A. and Smith TP (2012) Application of circular consensus sequencing and network analysis to characterize the bovine IgG repertoire. BMC Immunol. doi: / /
69 IsoSeq RNA Isoform Discovery and Characterization FIND MEANING IN COMPLEXITY PACIFIC BIOSCIENCES CONFIDENTIAL Copyright 2013 by Pacific Biosciences of California, Inc. All rights reserved.
70 High-Quality Genomes & Transcriptomes Genome Assembly Genome Annotation and Understanding Isoform Sequencing
71 Current State of Transcript Assembly The way we do RNA-seq now is you take the transcriptome, you blow it up into pieces and then you try to figure out how they all go back together again If you think about it, it s kind of a crazy way to do things. Michael Snyder Stanford University Tal Nawy (2013) End-to-end RNA sequencing, Nature Methods 10: Ian Korf (2013) Genomics: the state of the art in RNA-seq analysis. Nature Methods 10:
72 Transcript Diversity
73 One Gene, Two Isoforms with Opposite Effects Bcl-x Bcl-x L Inhibits apoptosis Bcl-x S Activates apoptosis
74 Difficulties for Resolving Transcripts with Short Reads the complexity of higher eukaryotic genomes imposes severe limitations on transcript recall and splice product discrimination that are likely to remain limiting factors for the analysis of current-generation RNA-seq data. assembly of complete isoform structures poses a major challenge even when all constituent elements are identified. Ultimately, the evolution of RNA-seq will move toward single-pass determination of intact transcripts. Third-generation instruments will realize that potential and inspire new computing approaches to meet the next wave of innovation in transcriptome analysis. Steijger et al. (2013) Nature Methods 10,
75 PacBio Long Reads Cover Nearly All Transcripts Average PacBio Read: 8500 bases IL2 CD4 CYP2D6 CFTR BRCA1
76 ABRF NGS RNA-Seq Study: PacBio Isoform Sequencing Provides the Best 5 to 3 Coverage
77 Observing Transcript Diversity Multiple isoforms observed at a single loci Rat heart Rat lung Tseng, PAG 2014, Isoform Sequencing: Unveiling the Complex Landscape of the Eukaryotic Transcriptome on the PacBio RS II (poster)
78 Gene Identification, Even in Well-Characterized Human Cell Lines and Tissues, is Likely Far From Complete Identified over 13,000 fulllength isoforms Over 1/3 of these were novel, including 273 new genes Au et al. (2013) Characterization of the human ESC transcriptome by hybrid sequencing. PNAS doi: /pnas
79 Allele-Resolved Transcriptomes
80 RefSeq Ensembl PacBio Trinity EST Full-length Transcript Coverage # RefSeq Ensembl PacBio Trinity EST RefSeq Transcripts PacBio with Coverage of Ref- Seq Annotation 90% coverage of Ref-Seq Annotation PacBio reads overlap 81% RefSeq annotated transcripts >50% of PacBio transcripts missed by existing resources Thomas S, et al. (2014) Long-Read Sequencing of Chicken Transcripts and Identification of New Transcript Isoforms. PLoS One doi: /journal.pone
81 Detect Tissue-specific Differential Gene Expression Differential gene expression of newly identified genes and isoforms detected with PacBio transcriptome sequencing.
82 Validation of Gene Fusion Events Embryonal tumors with multilayered rosettes (ETMRs) Genomic Location Characterized by high-level amplification of microrna cluster C19MC Fusion of C19MC with TTYH1 driving the expression of microrna Various isoforms can be differentiated by single reads Kleinman et al. (2014) Fusion of TTYH1 with the C19MC microrna cluster drives expression of a brain-specific DNMT3B isoform in the embryonal brain tumor ETMR. Nat Genet. 46(1):39-44.
83 PacBio Data Release: MCF-7 Human Transcriptome Deep dataset of full-length cdna sequencing of RNA from human breast cancer cell line MCF-7 Length distribution of polished, nonredundant transcript sequences Compare PacBio-predicted fulllength transcripts against the known annotations View data analysis webinars Sequencing statistics: Total number of post-filtered bases: 14,062,161,755 Non-redundant transcript-length consensus sequences: 44,531 Total number of gene loci: 14,385 Transcript lengths: 400 bp 4,900 bp; average length of 1,929 bp Number of SMRT Cells: 119 (3 size selections, P4-C2 chemistry, 2 hour movies) For more details visit
84 Note: some pins represent multiple placements
85 Note: some pins represent multiple placements
86 Read Length (bp) PacBio Advances in Read Length P5 C P4 C C2 C2 Early PacBio chemistries FCR LPR ECR
87 DNA Sequencing: The Vision 87
88 88
Looking Ahead: Improving Workflows for SMRT Sequencing
Looking Ahead: Improving Workflows for SMRT Sequencing Jonas Korlach FIND MEANING IN COMPLEXITY Pacific Biosciences, the Pacific Biosciences logo, PacBio, SMRT, and SMRTbell are trademarks of Pacific Biosciences
More informationComprehensive Views of Genetic Diversity with Single Molecule, Real-Time (SMRT) Sequencing
Comprehensive Views of Genetic Diversity with Single Molecule, Real-Time (SMRT) Sequencing Alix Kieu Cruse November 2015 For Research Use Only. Not for use in diagnostics procedures. Copyright 2015 by
More informationRevolutionize Genomics with SMRT Sequencing. Single Molecule, Real-Time Technology
Revolutionize Genomics with SMRT Sequencing Single Molecule, Real-Time Technology Resolve to Master Complexity Despite large investments in population studies, the heritability of the majority of Mendelian
More informationUnderstanding Accuracy in SMRT Sequencing
Understanding Accuracy in SMRT Sequencing Jonas Korlach, Chief Scientific Officer, Pacific Biosciences Introduction Single Molecule, Real-Time (SMRT ) DNA sequencing achieves highly accurate sequencing
More informationThe Iso-Seq Method: Transcriptome Sequencing Using Long Reads
The Iso-Seq Method: Transcriptome Sequencing Using Long Reads Elizabeth Tseng, Ph.D. Senior Staff Scientist FIND MEANING IN COMPLEXITY For Research Use Only. Not for use in diagnostic procedures. Copyright
More informationThe Why, What, and How of the Iso-Seq Method: Using Full-length RNA Sequencing to Annotate Genomes and Solve Diseases
The Why, What, and How of the Iso-Seq Method: Using Full-length RNA Sequencing to Annotate Genomes and Solve Diseases For Research Use Only. Not for use in diagnostic procedures. Copyright 2018 by Pacific
More informationDe Novo and Hybrid Assembly
On the PacBio RS Introduction The PacBio RS utilizes SMRT technology to generate both Continuous Long Read ( CLR ) and Circular Consensus Read ( CCS ) data. In this document, we describe sequencing the
More informationMatthew Tinning Australian Genome Research Facility. July 2012
Next-Generation Sequencing: an overview of technologies and applications Matthew Tinning Australian Genome Research Facility July 2012 History of Sequencing Where have we been? 1869 Discovery of DNA 1909
More informationNext Generation Sequencing. Jeroen Van Houdt - Leuven 13/10/2017
Next Generation Sequencing Jeroen Van Houdt - Leuven 13/10/2017 Landmarks in DNA sequencing 1953 Discovery of DNA double helix structure 1977 A Maxam and W Gilbert "DNA seq by chemical degradation" F Sanger"DNA
More informationJenny Gu, PhD Strategic Business Development Manager, PacBio
IDT and PacBio joint presentation Characterizing Alzheimer s Disease candidate genes and transcripts with targeted, long-read, single-molecule sequencing Jenny Gu, PhD Strategic Business Development Manager,
More informationHigh Throughput Sequencing the Multi-Tool of Life Sciences. Lutz Froenicke DNA Technologies and Expression Analysis Cores UCD Genome Center
High Throughput Sequencing the Multi-Tool of Life Sciences Lutz Froenicke DNA Technologies and Expression Analysis Cores UCD Genome Center Complementary Approaches Illumina Still-imaging of clusters (~1000
More informationDeep Sequencing technologies
Deep Sequencing technologies Gabriela Salinas 30 October 2017 Transcriptome and Genome Analysis Laboratory http://www.uni-bc.gwdg.de/index.php?id=709 Microarray and Deep-Sequencing Core Facility University
More informationPacBio. The world s first single molecule, real-time DNA sequencer
PacBio The world s first single molecule, real-time DNA sequencer A revolutionary third generation DNA sequencing system incorporating novel single molecule sequencing with unprecedented readlengths to
More informationGenomic resources. for non-model systems
Genomic resources for non-model systems 1 Genomic resources Whole genome sequencing reference genome sequence comparisons across species identify signatures of natural selection population-level resequencing
More informationHigh Throughput Sequencing Technologies. J Fass UCD Genome Center Bioinformatics Core Monday September 15, 2014
High Throughput Sequencing Technologies J Fass UCD Genome Center Bioinformatics Core Monday September 15, 2014 Sequencing Explosion www.genome.gov/sequencingcosts http://t.co/ka5cvghdqo Sequencing Explosion
More informationAaron Liston, Oregon State University Botany 2012 Intro to Next Generation Sequencing Workshop
Output (bp) Aaron Liston, Oregon State University Growth in Next-Gen Sequencing Capacity 3.5E+11 2002 2004 2006 2008 2010 3.0E+11 2.5E+11 2.0E+11 1.5E+11 1.0E+11 Adapted from Mardis, 2011, Nature 5.0E+10
More informationHigh Throughput Sequencing Technologies. J Fass UCD Genome Center Bioinformatics Core Tuesday December 16, 2014
High Throughput Sequencing Technologies J Fass UCD Genome Center Bioinformatics Core Tuesday December 16, 2014 Sequencing Explosion www.genome.gov/sequencingcosts http://t.co/ka5cvghdqo Sequencing Explosion
More informationSequencing technologies. Jose Blanca COMAV institute bioinf.comav.upv.es
Sequencing technologies Jose Blanca COMAV institute bioinf.comav.upv.es Outline Sequencing technologies: Sanger 2nd generation sequencing: 3er generation sequencing: 454 Illumina SOLiD Ion Torrent PacBio
More informationExploiting novel rice baseline datasets: WGS, BAC-based platinum genome sequencing and full-length transcriptomics
Exploiting novel rice baseline datasets: WGS, BAC-based platinum genome sequencing and full-length transcriptomics Dario Copetti, PhD Arizona Genomics Institute The University of Arizona International
More informationWheat CAP Gene Expression with RNA-Seq
Wheat CAP Gene Expression with RNA-Seq July 9 th -13 th, 2018 Overview of the workshop, Alina Akhunova http://www.ksre.k-state.edu/igenomics/workshops/ RNA-Seq Workshop Activities Lectures Laboratory Molecular
More informationA near perfect de novo assembly of a eukaryotic genome using sequence reads of greater than 10 kilobases generated by the Pacific Biosciences RS II
A near perfect de novo assembly of a eukaryotic genome using sequence reads of greater than 10 kilobases generated by the Pacific Biosciences RS II W. Richard McCombie Disclosures Introduction to the challenge
More informationThe New Genome Analyzer IIx Delivering more data, faster, and easier than ever before. Jeremy Preston, PhD Marketing Manager, Sequencing
The New Genome Analyzer IIx Delivering more data, faster, and easier than ever before Jeremy Preston, PhD Marketing Manager, Sequencing Illumina Genome Analyzer: a Paradigm Shift 2000x gain in efficiency
More informationDetecting Structural Variants in PacBio Reads Tools and Applications
Detecting Structural Variants in PacBio Reads Tools and Applications Aaron Wenger 2017-06-28 For Research Use Only. Not for use in diagnostics procedures. Copyright 2017 by Pacific Biosciences of California,
More informationGENETICS - CLUTCH CH.15 GENOMES AND GENOMICS.
!! www.clutchprep.com CONCEPT: OVERVIEW OF GENOMICS Genomics is the study of genomes in their entirety Bioinformatics is the analysis of the information content of genomes - Genes, regulatory sequences,
More informationHigh Throughput Sequencing Technologies. J Fass UCD Genome Center Bioinformatics Core Monday June 16, 2014
High Throughput Sequencing Technologies J Fass UCD Genome Center Bioinformatics Core Monday June 16, 2014 Sequencing Explosion www.genome.gov/sequencingcosts http://t.co/ka5cvghdqo Sequencing Explosion
More informationIntroduction to RNA-Seq in GeneSpring NGS Software
Introduction to RNA-Seq in GeneSpring NGS Software Dipa Roy Choudhury, Ph.D. Strand Scientific Intelligence and Agilent Technologies Learn more at www.genespring.com Introduction to RNA-Seq In a few years,
More informationWet-lab Considerations for Illumina data analysis
Wet-lab Considerations for Illumina data analysis Based on a presentation by Henriette O Geen Lutz Froenicke DNA Technologies and Expression Analysis Cores UCD Genome Center Complementary Approaches Illumina
More informationOverview of Next Generation Sequencing technologies. Céline Keime
Overview of Next Generation Sequencing technologies Céline Keime keime@igbmc.fr Next Generation Sequencing < Second generation sequencing < General principle < Sequencing by synthesis - Illumina < Sequencing
More informationSequencing technologies. Jose Blanca COMAV institute bioinf.comav.upv.es
Sequencing technologies Jose Blanca COMAV institute bioinf.comav.upv.es Outline Sequencing technologies: Sanger 2nd generation sequencing: 3er generation sequencing: 454 Illumina SOLiD Ion Torrent PacBio
More informationGap Filling for a Human MHC Haplotype Sequence
American Journal of Life Sciences 2016; 4(6): 146-151 http://www.sciencepublishinggroup.com/j/ajls doi: 10.11648/j.ajls.20160406.12 ISSN: 2328-5702 (Print); ISSN: 2328-5737 (Online) Gap Filling for a Human
More informationSequencing technologies. Jose Blanca COMAV institute bioinf.comav.upv.es
Sequencing technologies Jose Blanca COMAV institute bioinf.comav.upv.es Outline Sequencing technologies: Sanger 2nd generation sequencing: 3er generation sequencing: 454 Illumina SOLiD Ion Torrent PacBio
More informationNext-Generation Sequencing. Technologies
Next-Generation Next-Generation Sequencing Technologies Sequencing Technologies Nicholas E. Navin, Ph.D. MD Anderson Cancer Center Dept. Genetics Dept. Bioinformatics Introduction to Bioinformatics GS011062
More informationGenome Resequencing. Rearrangements. SNPs, Indels CNVs. De novo genome Sequencing. Metagenomics. Exome Sequencing. RNA-seq Gene Expression
Genome Resequencing De novo genome Sequencing SNPs, Indels CNVs Rearrangements Metagenomics RNA-seq Gene Expression Splice Isoform Abundance High Throughput Short Read Sequencing: Illumina Exome Sequencing
More informationExperimental Design. Sequencing. Data Quality Control. Read mapping. Differential Expression analysis
-Seq Analysis Quality Control checks Reproducibility Reliability -seq vs Microarray Higher sensitivity and dynamic range Lower technical variation Available for all species Novel transcript identification
More informationContact us for more information and a quotation
GenePool Information Sheet #1 Installed Sequencing Technologies in the GenePool The GenePool offers sequencing service on three platforms: Sanger (dideoxy) sequencing on ABI 3730 instruments Illumina SOLEXA
More informationNext-generation sequencing Technology Overview
Next-generation sequencing Technology Overview UQ Winter School 2018 Christopher Noune, PhD AGRF Melbourne christopher.noune@agrf.org.au What is NGS? Ion Torrent PGM (Thermo-Fisher) MiSeq (Illumina) High-Throughput
More informationResearch school methods seminar Genomics and Transcriptomics
Research school methods seminar Genomics and Transcriptomics Stephan Klee 19.11.2014 2 3 4 5 Genetics, Genomics what are we talking about? Genetics and Genomics Study of genes Role of genes in inheritence
More informationAnalytics Behind Genomic Testing
A Quick Guide to the Analytics Behind Genomic Testing Elaine Gee, PhD Director, Bioinformatics ARUP Laboratories 1 Learning Objectives Catalogue various types of bioinformatics analyses that support clinical
More informationSMRT Analysis Barcoding Overview
SMRT Analysis Barcoding Overview Introduction This document is for users with Sequel Systems using SMRT Link v5.0.0 or v5.0.1. This document covers: Barcoding designs, strategies and modes for preparing
More informationSMRT Analysis Barcoding Overview (v6.0.0)
SMRT Analysis Barcoding Overview (v6.0.0) Introduction This document applies to PacBio RS II and Sequel Systems using SMRT Link v6.0.0. Note: For information on earlier versions of SMRT Link, see the document
More informationHigh Throughput Sequencing the Multi-Tool of Life Sciences. Lutz Froenicke DNA Technologies and Expression Analysis Cores UCD Genome Center
High Throughput Sequencing the Multi-Tool of Life Sciences Lutz Froenicke DNA Technologies and Expression Analysis Cores UCD Genome Center DNA Technologies & Expression Analysis Cores HT Sequencing (Illumina
More informationUsing New ThiNGS on Small Things. Shane Byrne
Using New ThiNGS on Small Things Shane Byrne Next Generation Sequencing New Things Small Things NGS Next Generation Sequencing = 2 nd generation of sequencing 454 GS FLX, SOLiD, GAIIx, HiSeq, MiSeq, Ion
More informationNGS-based innovations within the Leiden Network
NGS-based innovations within the Leiden Network A strong bridge between two partners Dr. Mark de Jong 2017-09-29 Design accurate and robust NGS tests and generate data sets essential for Diagnostics &
More informationSample to Insight. Dr. Bhagyashree S. Birla NGS Field Application Scientist
Dr. Bhagyashree S. Birla NGS Field Application Scientist bhagyashree.birla@qiagen.com NGS spans a broad range of applications DNA Applications Human ID Liquid biopsy Biomarker discovery Inherited and somatic
More informationTaking Advantage of Long RNA-Seq Reads. Vince Magrini Pacific Biosciences User Group Meeting September 18, 2013
Taking Advantage of Long RNA-Seq Reads Vince Magrini Pacific Biosciences User Group Meeting September 18, 2013 Overview Proof-of-Principle SMART-cDNA Synthesis PB-SBL size distributions Gene Annotation
More informationDe novo assembly in RNA-seq analysis.
De novo assembly in RNA-seq analysis. Joachim Bargsten Wageningen UR/PRI/Plant Breeding October 2012 Motivation Transcriptome sequencing (RNA-seq) Gene expression / differential expression Reconstruct
More informationCurrent'Advances'in'Sequencing' Technology' James'Gurtowski' Schatz'Lab'
Current'Advances'in'Sequencing' Technology' James'Gurtowski' Schatz'Lab' Outline' 1. Assembly'Review' 2. Pacbio' Technology'Overview' Data'CharacterisFcs' Algorithms' Results' 'Assemblies' 3. Oxford'Nanopore'
More informationHaloPlex HS. Get to Know Your DNA. Every Single Fragment. Kevin Poon, Ph.D.
HaloPlex HS Get to Know Your DNA. Every Single Fragment. Kevin Poon, Ph.D. Sr. Global Product Manager Diagnostics & Genomics Group Agilent Technologies For Research Use Only. Not for Use in Diagnostic
More informationThe Human Genome and its upcoming Dynamics
The Human Genome and its upcoming Dynamics Matthias Platzer Genome Analysis Leibniz Institute for Age Research - Fritz-Lipmann Institute (FLI) Sequencing of the Human Genome Publications 2004 2001 2001
More informationNext Generation Sequencing. Tobias Österlund
Next Generation Sequencing Tobias Österlund tobiaso@chalmers.se NGS part of the course Week 4 Friday 13/2 15.15-17.00 NGS lecture 1: Introduction to NGS, alignment, assembly Week 6 Thursday 26/2 08.00-09.45
More informationNovel methods for RNA and DNA- Seq analysis using SMART Technology. Andrew Farmer, D. Phil. Vice President, R&D Clontech Laboratories, Inc.
Novel methods for RNA and DNA- Seq analysis using SMART Technology Andrew Farmer, D. Phil. Vice President, R&D Clontech Laboratories, Inc. Agenda Enabling Single Cell RNA-Seq using SMART Technology SMART
More informationresequencing storage SNP ncrna metagenomics private trio de novo exome ncrna RNA DNA bioinformatics RNA-seq comparative genomics
RNA Sequencing T TM variation genetics validation SNP ncrna metagenomics private trio de novo exome mendelian ChIP-seq RNA DNA bioinformatics custom target high-throughput resequencing storage ncrna comparative
More informationEmerging applications of SMRT Sequencing
Emerging applications of SMRT Sequencing N Lance Hepler For Research Use Only. Not for use in diagnostics procedures. Copyright 2017 by Pacific Biosciences of California, Inc. All rights reserved. AGENDA
More informationHigh Throughput Sequencing Technologies. UCD Genome Center Bioinformatics Core Monday 15 June 2015
High Throughput Sequencing Technologies UCD Genome Center Bioinformatics Core Monday 15 June 2015 Sequencing Explosion www.genome.gov/sequencingcosts http://t.co/ka5cvghdqo Sequencing Explosion 2011 PacBio
More informationEFI 2016 DEBATE: WHOLE GENE VERSUS EXONIC SEQUENCING. Dr Katy Latham Stance: Whole gene sequencing should be the norm for HLA typing
EFI 2016 DEBATE: WHOLE GENE VERSUS EXONIC SEQUENCING Dr Katy Latham Stance: Whole gene sequencing should be the norm for HLA typing Why we should be utilising whole gene sequencing Ambiguity generated
More informationDNA Sequencing and Assembly
DNA Sequencing and Assembly CS 262 Lecture Notes, Winter 2016 February 2nd, 2016 Scribe: Mark Berger Abstract In this lecture, we survey a variety of different sequencing technologies, including their
More informationIntroduction to RNA-Seq. David Wood Winter School in Mathematics and Computational Biology July 1, 2013
Introduction to RNA-Seq David Wood Winter School in Mathematics and Computational Biology July 1, 2013 Abundance RNA is... Diverse Dynamic Central DNA rrna Epigenetics trna RNA mrna Time Protein Abundance
More informationWelcome to the NGS webinar series
Welcome to the NGS webinar series Webinar 1 NGS: Introduction to technology, and applications NGS Technology Webinar 2 Targeted NGS for Cancer Research NGS in cancer Webinar 3 NGS: Data analysis for genetic
More informationMate-pair library data improves genome assembly
De Novo Sequencing on the Ion Torrent PGM APPLICATION NOTE Mate-pair library data improves genome assembly Highly accurate PGM data allows for de Novo Sequencing and Assembly For a draft assembly, generate
More informationIs NGS for everyone? Is NGS for everyone? Factors to consider in selecting a platform and approach. Costs as incentive and barrier
NEX-GENERAION SEQUENCING (NGS) WORKSHOP November 10-11, 2016 Embassy Suites by Hilton Dallas - DFW Airport South Is NGS for everyone? Lee Ann Baxter-Lowe University of Southern California Children s Hospital
More informationThe Diploid Genome Sequence of an Individual Human
The Diploid Genome Sequence of an Individual Human Maido Remm Journal Club 12.02.2008 Outline Background (history, assembling strategies) Who was sequenced in previous projects Genome variations in J.
More informationIntroduction to Bioinformatics
Introduction to Bioinformatics Richard Corbett Canada s Michael Smith Genome Sciences Centre Vancouver, British Columbia June 28, 2017 Our mandate is to advance knowledge about cancer and other diseases
More informationDNA-Sequencing. Technologies & Devices. Matthias Platzer. Genome Analysis Leibniz Institute on Aging - Fritz Lipmann Institute (FLI)
DNA-Sequencing Technologies & Devices Matthias Platzer Genome Analysis Leibniz Institute on Aging - Fritz Lipmann Institute (FLI) Genome analysis DNA sequencing platforms ABI 3730xl 4/2004 & 6/2006 1 Mb/day,
More informationWhole Human Genome Sequencing Report This is a technical summary report for PG DNA
Whole Human Genome Sequencing Report This is a technical summary report for PG0002601-DNA Physician and Patient Information Physician name: Vinodh Naraynan Address: Suite 406 222 West Thomas Road Phoenix
More informationIso-Seq TM Bioinformatics Analysis of the Human MCF-7 Transcriptome Sequenced with PacBio Long Reads
Iso-Seq TM Bioinformatics Analysis of the Human MCF-7 Transcriptome Sequenced with PacBio Long Reads Elizabeth Tseng, Senior Bioinformatics Scientist FIND MEANING IN COMPLEXITY Pacific Biosciences, the
More informationNUCLEOTIDE RESOLUTION STRUCTURAL VARIATION DETECTION USING NEXT- GENERATION WHOLE GENOME RESEQUENCING
NUCLEOTIDE RESOLUTION STRUCTURAL VARIATION DETECTION USING NEXT- GENERATION WHOLE GENOME RESEQUENCING Ken Chen, Ph.D. kchen@genome.wustl.edu The Genome Center, Washington University in St. Louis The path
More informationBasics of RNA-Seq. (With a Focus on Application to Single Cell RNA-Seq) Michael Kelly, PhD Team Lead, NCI Single Cell Analysis Facility
2018 ABRF Meeting Satellite Workshop 4 Bridging the Gap: Isolation to Translation (Single Cell RNA-Seq) Sunday, April 22 Basics of RNA-Seq (With a Focus on Application to Single Cell RNA-Seq) Michael Kelly,
More informationIntroduction to Plant Genomics and Online Resources. Manish Raizada University of Guelph
Introduction to Plant Genomics and Online Resources Manish Raizada University of Guelph Genomics Glossary http://www.genomenewsnetwork.org/articles/06_00/sequence_primer.shtml Annotation Adding pertinent
More informationDe novo assembly of complex genomes using single molecule sequencing
De novo assembly of complex genomes using single molecule sequencing Michael Schatz Jan 14, 2014 PAG XXII @mike_schatz / #PAGXXII 1. Shear & Sequence DNA Assembling a Genome 2. Construct assembly graph
More informationThe Journey of DNA Sequencing. Chromosomes. What is a genome? Genome size. H. Sunny Sun
The Journey of DNA Sequencing H. Sunny Sun What is a genome? Genome is the total genetic complement of a living organism. The nuclear genome comprises approximately 3.2 * 10 9 nucleotides of DNA, divided
More informationDNA-Sequencing. Technologies & Devices. Matthias Platzer. Genome Analysis Leibniz Institute on Aging - Fritz Lipmann Institute (FLI)
DNA-Sequencing Technologies & Devices Matthias Platzer Genome Analysis Leibniz Institute on Aging - Fritz Lipmann Institute (FLI) Genome analysis DNA sequencing platforms ABI 3730xl 4/2004 & 6/2006 1 Mb/day,
More informationRNA sequencing with the MinION at Genoscope
RNA sequencing with the MinION at Genoscope Jean-Marc Aury jmaury@genoscope.cns.fr @J_M_Aury December 13, 2017 RNA workshop, Genoscope Overview Genoscope Overview MinION sequencing at Genoscope RNA-Seq
More informationBuilding a platinum human genome assembly from single haplotype human genomes. Karyn Meltz Steinberg PacBio UGM December,
Building a platinum human genome assembly from single haplotype human genomes Karyn Meltz Steinberg PacBio UGM December, 2015 @KMS_Meltzy Single haplotype from hydatidiform mole Enucleated egg (no maternal
More informationSupplementary Table 1. Summary of whole genome shotgun sequence used for genome assembly
Supplementary Tables Supplementary Table 1. Summary of whole genome shotgun sequence used for genome assembly Library Read length Raw data Filtered data insert size (bp) * Total Sequence depth Total Sequence
More informationTranscriptomics analysis with RNA seq: an overview Frederik Coppens
Transcriptomics analysis with RNA seq: an overview Frederik Coppens Platforms Applications Analysis Quantification RNA content Platforms Platforms Short (few hundred bases) Long reads (multiple kilobases)
More informationNature Biotechnology: doi: /nbt Supplementary Figure 1. Number and length distributions of the inferred fosmids.
Supplementary Figure 1 Number and length distributions of the inferred fosmids. Fosmid were inferred by mapping each pool s sequence reads to hg19. We retained only those reads that mapped to within a
More informationNGS technologies: a user s guide. Karim Gharbi & Mark Blaxter
NGS technologies: a user s guide Karim Gharbi & Mark Blaxter genepool-manager@ed.ac.uk Natural history of sequencing 2 Brief history of sequencing 100s bp throughput 100 Gb 1977 1986 1995 1999 2005 2007
More informationIntegrated NGS Sample Preparation Solutions for Limiting Amounts of RNA and DNA. March 2, Steven R. Kain, Ph.D. ABRF 2013
Integrated NGS Sample Preparation Solutions for Limiting Amounts of RNA and DNA March 2, 2013 Steven R. Kain, Ph.D. ABRF 2013 NuGEN s Core Technologies Selective Sequence Priming Nucleic Acid Amplification
More informationReading Lecture 8: Lecture 9: Lecture 8. DNA Libraries. Definition Types Construction
Lecture 8 Reading Lecture 8: 96-110 Lecture 9: 111-120 DNA Libraries Definition Types Construction 142 DNA Libraries A DNA library is a collection of clones of genomic fragments or cdnas from a certain
More informationStructural Variant Detection in SMRT Link 5 with pbsv
Structural Variant Detection in SMRT Link 5 with pbsv Aaron Wenger 2017-06-27 For Research Use Only. Not for use in diagnostics procedures. Copyright 2017 by Pacific Biosciences of California, Inc. All
More informationStructural Variant Detection in SMRT Link 5 with pbsv
Structural Variant Detection in SMRT Link 5 with pbsv Aaron Wenger 2017-06-27 For Research Use Only. Not for use in diagnostics procedures. Copyright 2017 by Pacific Biosciences of California, Inc. All
More informationOutline General NGS background and terms 11/14/2016 CONFLICT OF INTEREST. HLA region targeted enrichment. NGS library preparation methodologies
Eric T. Weimer, PhD, D(ABMLI) Assistant Professor, Pathology & Laboratory Medicine, UNC School of Medicine Director, Molecular Immunology Associate Director, Clinical Flow Cytometry, HLA, and Immunology
More informationThe Expanded Illumina Sequencing Portfolio New Sample Prep Solutions and Workflow
The Expanded Illumina Sequencing Portfolio New Sample Prep Solutions and Workflow Marcus Hausch, Ph.D. 2010 Illumina, Inc. All rights reserved. Illumina, illuminadx, Solexa, Making Sense Out of Life, Oligator,
More informationsolid S Y S T E M s e q u e n c i n g See the Difference Discover the Quality Genome
solid S Y S T E M s e q u e n c i n g See the Difference Discover the Quality Genome See the Difference With a commitment to your peace of mind, Life Technologies provides a portfolio of robust and scalable
More informationSurely Better Target Enrichment from Sample to Sequencer and Analysis
sureselect TARGET ENRIChment solutions Surely Better Target Enrichment from Sample to Sequencer and Analysis Agilent s market leading SureSelect platform provides a complete portfolio of catalog to custom
More informationWorkflows and Pipelines for NGS analysis: Lessons from proteomics
Workflows and Pipelines for NGS analysis: Lessons from proteomics Conference on Applying NGS in Basic research Health care and Agriculture 11 th Sep 2014 Debasis Dash Where are the protein coding genes
More informationDE NOVO WHOLE GENOME ASSEMBLY AND SEQUENCING OF THE SUPERB FAIRYWREN. (Malurus cyaneus) JOSHUA PEÑALBA LEO JOSEPH CRAIG MORITZ ANDREW COCKBURN
DE NOVO WHOLE GENOME ASSEMBLY AND SEQUENCING OF THE SUPERB FAIRYWREN (Malurus cyaneus) JOSHUA PEÑALBA LEO JOSEPH CRAIG MORITZ ANDREW COCKBURN ... 2014 2015 2016 2017 ... 2014 2015 2016 2017 Synthetic
More informationRNA-SEQUENCING ANALYSIS
RNA-SEQUENCING ANALYSIS Joseph Powell SISG- 2018 CONTENTS Introduction to RNA sequencing Data structure Analyses Transcript counting Alternative splicing Allele specific expression Discovery APPLICATIONS
More informationNext Generation Sequencing. Target Enrichment
Next Generation Sequencing Target Enrichment Next Generation Sequencing Your Partner in Every Step from Sample to Data NGS: Revolutionizing Genetic Analysis with Single-Molecule Resolution Next generation
More informationRNA Sequencing. Next gen insight into transcriptomes , Elio Schijlen
RNA Sequencing Next gen insight into transcriptomes 05-06-2013, Elio Schijlen Transcriptome complete set of transcripts in a cell, and their quantity, for a specific developmental stage or physiological
More informationDe novo whole genome assembly
De novo whole genome assembly Lecture 1 Qi Sun Minghui Wang Bioinformatics Facility Cornell University DNA Sequencing Platforms Illumina sequencing (100 to 300 bp reads) Overlapping reads ~180bp fragment
More informationHow to deal with your RNA-seq data?
How to deal with your RNA-seq data? Rachel Legendre, Thibault Dayris, Adrien Pain, Claire Toffano-Nioche, Hugo Varet École de bioinformatique AVIESAN-IFB 2017 1 Rachel Legendre Bioinformatics 27/11/2018
More informationIntroduction to metagenome assembly. Bas E. Dutilh Metagenomic Methods for Microbial Ecologists, NIOO September 18 th 2014
Introduction to metagenome assembly Bas E. Dutilh Metagenomic Methods for Microbial Ecologists, NIOO September 18 th 2014 Sequencing specs* Method Read length Accuracy Million reads Time Cost per M 454
More informationDNBseq TM SERVICE OVERVIEW Plant and Animal Whole Genome Re-Sequencing
TM SERVICE OVERVIEW Plant and Animal Whole Genome Re-Sequencing Plant and animal whole genome re-sequencing (WGRS) involves sequencing the entire genome of a plant or animal and comparing the sequence
More informationSurely Better Target Enrichment from Sample to Sequencer
sureselect TARGET ENRICHMENT solutions Surely Better Target Enrichment from Sample to Sequencer Agilent s market leading SureSelect platform provides a complete portfolio of catalog to custom products,
More informationThird Generation Sequencing
Third Generation Sequencing By Mohammad Hasan Samiee Aref Medical Genetics Laboratory of Dr. Zeinali History of DNA sequencing 1953 : Discovery of DNA structure by Watson and Crick 1973 : First sequence
More informationDNA METHYLATION RESEARCH TOOLS
SeqCap Epi Enrichment System Revolutionize your epigenomic research DNA METHYLATION RESEARCH TOOLS Methylated DNA The SeqCap Epi System is a set of target enrichment tools for DNA methylation assessment
More informationQIAGEN s NGS Solutions for Biomarkers NGS & Bioinformatics team QIAGEN (Suzhou) Translational Medicine Co.,Ltd
QIAGEN s NGS Solutions for Biomarkers NGS & Bioinformatics team QIAGEN (Suzhou) Translational Medicine Co.,Ltd 1 Our current NGS & Bioinformatics Platform 2 Our NGS workflow and applications 3 QIAGEN s
More informationSMARTer Ultra Low RNA Kit for Illumina Sequencing Two powerful technologies combine to enable sequencing with ultra-low levels of RNA
SMARTer Ultra Low RNA Kit for Illumina Sequencing Two powerful technologies combine to enable sequencing with ultra-low levels of RNA The most sensitive cdna synthesis technology, combined with next-generation
More information02 Agenda Item 03 Agenda Item
01 Agenda Item 02 Agenda Item 03 Agenda Item SOLiD 3 System: Applications Overview April 12th, 2010 Jennifer Stover Field Application Specialist - SOLiD Applications Workflow for SOLiD Application Application
More information