April 26 - 28, 2016 San Francisco, CA
24 Expert Speakers Including:
Lead Partner: Additional Partners:
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• HarnessingtheFullPotentialofSingle-CellRNA-Seq
• ReinventingAnalyticalStrategiestoDealwiththeVastComplexityoftheTranscriptome
• AdvancingtheClinicalApplicationsofRNA-SeqTechnology
2016
RNA-Seq 2016 SanFrancisco| April 26-28, 2016
Paul Rejto Head of Precision Medicine, Oncology Research Unit Pfizer
Yasuhiro FunahashiSenior Director, Biomarkers and Personalized Medicine Core Function UnitEisai
®
Chris MasonPrincipal Investigator and Associate ProfessorWeill Cornell Medical College
Ganesh Sathe Head of DNA SequencingGSK
Dongliang Ge Director, Computational Biology Gilead Sciences
Garry NolanProfessor, Microbiology & ImmunologyStanford University
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Welcome to RNA-Seq 2016
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RNA-Seq 2016 San Francisco | April 26-28, 2016
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Realize the Practical Applications of RNA-SeqIn an industry that is constantly evolving, the integration and application of RNA-Seq technologies to improve drug discovery and development is gaining significant momentum.
RNA-Seq 2016 will help expert scientists, bioinformaticians and business leaders devise collaborative solutions to streamline technology and maximize the practical applications of RNA-Seq.
Critically, this year’s agenda has been designed specifically for the RNA-Seq community by fore-thinkers
in the industry with a greater focus on single-cell RNA-Seq, bioinformatics approaches and the clinical applications of RNA-Seq. By engaging with our expert speaker line-up, you will get the chance to hear the most up to date case studies, intellectual insight and be part of this thought provoking discussion.
Join the 4th annual RNA-Seq meeting to evaluate the latest advances in RNA-Seq, and discover how to fully utilize this technology to advance disease understanding and therapeutic intervention.
Harness the full potential of single-cell RNA-Seq to revolutionize the way we approach disease research
Implement specific bioinformatic systems for accurate analysis of clinical genomic studies
Top 10 Reasons to Attend RNA-Seq 2016
Develop analytical strategies to accurately interpret the vast complexity of the transcriptome and efficiently source the most valuable information
Successfully utilize metatranscriptomics to advance progression in microbiome disease research
Identify innovative, cutting edge methodologies to improve single-cell sequencing throughput and efficiency
Engage in debate with bioinformaticians and biologists to streamline the RNA-Seq process from the bench to the computer
Understand how to effectively develop RNA-Seq technologies into clinically applicable tools
Identify methods of commercializing RNA-Seq for biomarker detection and as a clinical diagnostic tool
Successfully integrate RNA-Seq with the other omic studies to generate combinatorial strategies for furthering disease understanding
Overcome the shortfalls in current RNA-Seq technologies to drive the evolution of cheaper and more efficient systems
Someofthebrightestmindsandindustryleadersingenomicsforaseriesofilluminatingseminarsandbeneficialmeetings. Bina Technologies RNA-Seq Attendee
RNA-Seq Forum
Speakers
Tel: +1 212 537 5898 Email: [email protected] @RNASeq_Summit
RNA-Seq 2016 SanFrancisco| April 26-28, 2016
Yasuhiro FunahashiSenior Director, Biomarkers & Personalized Medicine Core Function UnitEisai
Jeff BrockmanPrincipal ScientistHill’s Pet Nutrition
Tim MercerLab Head, Transcriptomic ResearchGarvan Institute of Medical Research
Alex Shalek,Assistant Professor of Health Sciences & TechnologyMIT
Alex MackenziePrincipal Investigator, Apoptosis Research Centre CHEO Research Institute
Zoltan DezsoPrincipal Scientist, Human Biology & Data Sciences EngineEisai
Magnolia BostickScientist IIITakara Clontech
Jamie HillSenior Bioinformatics ScientistQIAGEN
Saumya PantHead of Sequencing TechnologiesBristol-Myers Squibb
Xiang (Sean) Yao Principal Scientist CS - Computational & System Biology Janssen
Alex Pollen Damon Runyon Postdoctoral Fellow UCSF
Karsten ZenglerAssociate Professor, Division of Host-Microbe Systems & TherapeuticsUniversity of California, San Diego
Kejie LiComputational BiologistBiogen Idec
Jadwiga BienkowskaDirector, Computational BiologyPfizer
Josh KaminkerSenior Scientist, Bioinformatics & Computational Biology Genentech
Garry NolanProfessor, Microbiology & ImmunologyStanford University
Jin JenCo-Director, Genome Analysis Core, Medical Genome FacilityMayo Clinic
Dongliang GeDirector, Computational BiologyGilead Sciences
Kelli Bramlett Leader RNA Sequencing Applications Team, Life Sciences Solutions Thermo Fisher Scientific
Stefan McDonough Senior Director & Head of Neurogenetics Pfizer
Paul Rejto Head of Precision Medicine, Oncology Research Unit Pfizer
Ganesh Sathe Head of DNA SequencingGSK
Jean-Noel Billaud Principal ScientistQIAGEN
Chris MasonPrincipal Investigator & Assistant ProfessorWeill Cornell Medical College
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8.20 Chair’s Opening Remarks
8.30 Keynote Presentation: Towards a Cellular & Molecular Resolution Map of Cerebral Cortex Development • Creating a cellular resolution map of gene expression in the developing human
neocortex to unravel the diversity of neuronal lineages and to support strategies for targeting and replacing specific cell types in the brain
• Analyzing gene expression across single cells to identify the outer subventricular zone radial glia preferentially express genes that may help to establish a self-sustaining proliferative stem cell niche
• Developing strategies to integrate data from single cell genomics with studies of morphology, position, cell behavior, developmental fate potential, and physiology
Alex Pollen, Damon Runyon Postdoctoral Fellow, UCSF
The Single-Cell RNA-Sequencing Revolution
9.00 Addressing Cancer Heterogeneity at the Single-Cell Level • Effectively utilizing single-cell RNA-Seq to elucidate tumor heterogeneity• Identifying epigenetic drivers of gene expression heterogeneity in cancer using single-
cell RNA-Seq• Efficiently analyzing and integrating transcriptional and epigenetic data in cancer
genomics research
Chris Mason, Principal Investigator and Associate Professor, Weill Cornell Medical College
9.30 Successfully Deconvolving Heterogeneous Systems Using Single-Cell RNA-Seq to Increase Disease Understanding • Improving understanding of cellular heterogeneity in the context of disease progression• Identification of cell differentiation with relevance to homeostasis and disease
pathogenesis• Analyzing the discovery of detailed cellular phenotypes to drive target identification and
therapeutic discovery
Alex Shalek, Assistant Professor of Health Sciences & Technology, MIT
10.00 Morning Refreshments & Speed Networking
11.00 Utilizing Single-Cell RNA-Seq For Fluid Biopsies Analysis • Deploying single-cell RNA-Seq for clinically accurate analysis of disease biopsies• Overcoming the hurdles of analyzing biofluid RNA samples with single-cell sequencing• Adapting experimental design and analytical methods to accommodate for biofluid RNA
sample input• Identification of current obstacles to single-cell RNA-Seq to streamline single-cell
RNA-Seq pipelines
Saumya Pant, Head of Sequencing Technology, Bristol-Myers Squibb
11.30 The Billion Cell Barcode Revolution• Harnessing split pool synthesis combinatorial chemistry as an alternative approach
in single-cell sequencing to barcode billions of cells without cellular isolation• Understanding how to successfully integrate split pool synthesis into an single-cell
RNA-Seq pipeline• Applying this revolutionary protocol in a disease specific context
Garry Nolan, Professor, Microbiology & Immunology, Stanford
12.00 Networking Lunch
Tackling Functional Transcriptome Complexity
1.00 Systematic Integration of RNA-Seq Data & Application to Drug Discovery Research• Integration internal and external RNA-Seq data, such as GTEx and ENCODE, through
consistent data processing and cross-linking• Multi-tier management of different RNA-Seq data types and access levels• Application of integrative RNA-Seq analysis to drug discovery, especially in various
aspects of target identification and validation
Xiang (Sean) Yao, Principal Scientist, CS - Computational and System Biology, Janssen
1.30 Overview of RNA-Seq Applications in Cancer Drug Discovery• Utilizing RNA-Seq in cancer drug discovery will be reviewed with applications to
target discovery, undercovering mechanisms of resistance, and providing insight into predictive markers for response to therapy
• Analyzing future directions and new applications including liquid biopsies, rare cell populations and poor quality tissue
Paul Rejto, Head of Precision Medicine, Oncology Research Unit, Pfizer
Conference Day One, April 27, 2016
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2.00 Defining RNA Quality Control Metrics to Improve the Study of Full Transcriptional Complexity• The design, manufacture and validation of synthetic genes for bioinformatics analysis
of gene expression, transcript assembly and fusion gene diagnostics• Comprehensive analysis of human chromosome 21: detailing the full extent of
transcriptome size and complexity• Identification of fundamental distinctions between coding and non-coding gene
organisation, splicing and evolution
Tim Mercer, Lab Head, Transcriptomic Research, Garvan Institute of Medical Research
2.30 RNA-Seq Simplified! Targeted NGS Approaches to RNA Analysis • Discussing the use of Ion AmpliSeq™ technology for targeted RNA analysis • Analysis of data confirming high sensitivity, broad dynamic range and
assay robustness • Utilizing this approach for gene pathway analysis, gene fusion detection, and
transcriptome analysis
Kelli Bramlett, Leader, RNA Sequencing Applications Team, Life Sciences Solutions, Thermo Fisher Scientific
2.40 Using RNA-Seq to Study the Gastrointestinal Tract of the Dog • Addressing RNA integrity and endogenous RNAse expression in the upper sections
of the GI tract• Defining functional compartments of the GI tract through utilization of gene
expression patterns• Studying the correlation between specific mRNA expression levels and attachment of
gut microflora
Jeff Brockman, Principal Scientist, Hill’s Pet Nutrition
3.10 Afternoon Refreshments & Networking3.40 NGS & RNA-Seq in Cancer Immune Therapy
• Utilizing RNA-Seq to Study Protein-RNA interactions• Understanding how RNA-Seq can be used to study the impact of differential exon
expression on protein function • Employing RNA-Seq in conjunction with other sequencing methods for the
identification and observation of protein-RNA interactions in subcellular detail
Jadwiga Bienkowska, Director, Computational Biology, Pfizer
4.10 Deciphering the Cellular Complexities of Neurodegenerative Disease using RNA-Seq• Developing novel methods to purify specific populations of cells from whole brain• Performing RNA-Seq analysis using low quantity and low quality RNA• Transcriptomic analysis identifies cell specific expression and splicing changes in
neurodegenerative disease
Josh Kaminker, Senior Scientist, Bioinformatics & Computational Biology, Genentech
4.40 Panel Discussion: The Significance of Transcriptome Complexity• Evaluating RNA sequencing technologies and bioinformatic tools that resolve
transcriptome complexity.
• Debating the functional importance of pervasive transcription, long noncoding RNAs, and isoform diversity generated by extensive alternative splicing.
• Discussing the role of transcriptome complexity in evolution, development and disease
Tim Mercer, Lab Head, Transcriptomic Research, Garvan Institute of Medical Research
Alex Shalek, Assistant Professor of Health Sciences and Technology, MIT
Jeff Brockman, Principal Scientist, Hill’s Pet NutritionJosh Kaminker, Senior Scientist, Bioinformatics & Computational Biology, Genentech
Alex Pollen, Damon Runyon Postdoctoral Fellow, UCSF
5.20 Round Table SessionThis session will focus on devising solutions that cannot be obtained in presentation format, and will give you actionable takeaways to build a more holistic understanding of the field. Access the critical information that is only obtainable through frank and open discussion around crucial topics in the field. Shape the debate around the following topics:• How many cells do you need? – e.g. What are the drivers of the quantity of single cells you need to look at for your
experiment
• Single Cell RNA Seq Bioinformatics
• The power of full length transcript RNAseq – e.g. when to run full length transcript vs 3’ end counting to answer you biological question
6.20 Chair’s Closing Remarks
6.30 Networking Drinks Reception hosted by Fluidigm
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RNA-Seq Forum
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RNA-Seq 2016 San Francisco | April 26-28, 2016
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8.50 Chair’s Opening Remarks
Analyzing the Clinical Applications of RNA Sequencing
9.00 Panel Discussion: Debating the Clinical Applications of RNA-Seq• Understanding the approval standards for clinical applications of RNA-Seq• Revamping the regulatory system to support the innovation and application of RNA-
Seq in the clinic• Defining the regulatory framework to identify the procedures for delivering clinically
useful RNA-Seq products• How to best analyze, interpret and present RNA-Seq data to maximize a clinically
relevant output• Incorporating RNA-Seq into clinical management and practices: identifying how to
best utilize RNA-Seq in the clinic
Ganesh Sathe, Head DNA Sequencing, GSK
Stefan McDonough, Executive Director, Research, Amgen
9.45 Utilizing RNA-Seq for Translational Research to identify Biomarker for Anticancer Agents Targeting Tumor Microenvironment• Employing RNA-Seq for cancer biomarker research to target tumor
microenvironment • Issues of RNA-Seq analysis and targeting approach with other methods to promote
translation science in clinical biomarker • Discussing the utility of RNA-Seq analysis based on examples of the translational
research for our anticancer drugs
Yasuhiro Funahashi, Senior Director, Biomarkers and Personalized Medicine Core Function Unit, Eisai
10.15 Harnessing the Potential of RNA-Seq as a Clinical Diagnostic Tool• Employing transcriptome profiling for disease analysis and compound verification• How to best use differential gene expression signatures to identify small molecules
for compound screening• Utilizing RNA-Seq technology for accurate profiling and analysis of ALS
neurodegenerative disease
Ganesh Sathe, Head DNA Sequencing, GSK
10.45 New Applications Leveraging RNA Sequencing using SMART Technology• Three new applications for low input RNA analysis• Using SMART technology to generate libraries for RNA profiling for:
• Small RNAs• TCR (T cell receptor) • Single cells using the Fluidigm C1
Magnolia Bostick, Scientist III, Takara Clontech
10.55 Morning Refreshments & Networking
11.30 Overcoming RNA Quality Issues to Enable High Quality Whole Transcriptome Sequencing• Critical factors affecting the quality of RNA in clinical and research settings• Optimized protocols for RNA-Seq using challenging and partially degraded samples• Clinical applications of RNA-Seq to enhance cancer diagnosis and
treatment stratification
Jin Jen, Co-Director, Genome Analysis Core, Mayo Clinic
12.00 Harnessing RNA-Seq in Drug Repurposing for Rare Genetic Disorders • Utilizing RNA-Seq to validate specific rare diseases as potential candidates for drug
repurposing programs• Devising analytical strategies to identify potential drugs that transcriptionally modulate
specific disease genes• Proving efficacy of potentially repurposable drugs and the restoration of normal genetic
function using RNA-Seq
Alex Mackenzie, Principal Investigator, CHEO Research Institute
Conference Day Two, April 28, 2016
RNA-Seq Forum
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RNA-Seq 2016 San Francisco | April 26-28, 2016
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12.30 Networking Lunch
1.30 Overcoming Bioinformatic Challenges in Clinical Genomics• Identifying the key big data issues in drug discovery and development
• Choosing a big data strategy for biomarker development
• Discussing common pitfalls when planning an NGS led study
• Best practices in the evaluation of the quality of NGS data
Dongliang Ge, Director Computational Biology, Gilead Sciences
2.00 Application of Single Cell RNA-Seq on Clinical Biopsy Material at Biogen• Benchmarking study of the comparison of RNA-Seq to other profiling platforms
• Findings of single cell RNA-Seq analysis of clinical biopsy sample
• For extreme low amount of biopsy sample, reconstituting single cell RNA-Seq profiles to bulk sample like profile as an alternative
Kejie Li, Computational Biologist, Biogen Idec
2.30 Afternoon Refreshments & Networking
3.00 Utilizing RNA-Seq Data for Biomarker Research in Cancer Immunotherapy• Identifying the immunophenotypes of different types of cancer by applying
computational methods on large scale RNA-Seq data
• Exploring how cancer immunophenotyping supports patient stratification and biomarker research in cancer immunotherapy
• Understanding the relationship between cancer immunophenotypes with immune genes and signaling pathways based on RNA-Seq expression profiling
Zoltan Dezso, Principal Scientist, Human Biology & Data Sciences Engine, Eisai
3.30 Panel Discussion: Creating Efficient Collaborations Between Bioinformaticians & Biologists to Harmonize RNA-Seq Procedures• Streamlining the RNA-Seq process between the bench and computer
• Matching experimental design and analytical strategies to accurately and efficiently interpret RNA-Seq data
• How to fully utilize sequencing and analysis of the transcriptome to inform disease understanding and drug discovery and development
• Improving our understanding of the transcriptome and developing better analysis strategies to deal with the sheer amount of transcriptional complexity
• Debating methods to make sequencing data analysis simpler, faster and cheaper
• Shifting towards a more targeted analytical approach defined by disease context and specific sequencing application
Paul Rejto, Head of Precision Medicine, Oncology Research Unit, Pfizer
Dongliang Ge, Director, Computational Biology, Gilead Sciences
Zoltan Dezso, Principal Scientist, Human Biology & Data Sciences Engine, Eisai
4.15 Chair’s Closing Remarks
4.20 End Day Two & Close of Conference
Excellentpanelofspeakersprovidingacomprehensiveoverviewofthefield
Vertex PharmaceuticalsRNA-Seq Attendee
RNA-Seq Forum
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Pre- Conference Workshop - A
The concept of a liquid biopsy has been around for some time, but is now fast becoming the leading technology for new diagnostics to detect early stage cancer resulting in more successful treatment, and to monitor cancer progression after treatment. While much of the focus in liquid biopsy has been on sequencing the DNA circulating in the patient’s blood, a recent paper in Nature Cell Biology entitled “Pancreatic cancer exosomes initiate pre-metastatic niche formation in the liver” researchers are focusing on exosomes circulating in the bloodstream; specifically the RNA contained within these exosomes. Pancreatic cancer is one of the most lethal cancers due in part to the difficulty in early diagnosis and treatment. Researchers believe sequencing RNA from tumor derived exosomes circulating in the patient’s blood could lead to early diagnosis and treatment. This workshop will include in-depth coverage of the bioinformatics solutions used to analyze and interpret RNA-sequencing results from these exosome experiments providing additional hypothesis on regulatory networks and potential isoforms of biological significance.
By attending this workshop you learn about and discuss the following:
• Take a deep dive and understand how to optimize the analysis of RNA-sequencing results to get the most out of each RNA-seq experiment
• Standardize RNA-sequencing data analysis using industry leading algorithms and statistical testing
• Understand scalable approaches to sequencing data analysis and optimize the ROI across the organization for sequencing experiments
• Evaluate a biologist approach to streamlining R NA-sequencing alignment and analysis using configured workflows for the fast track to biological interpretation
• Analyze exosome gene expression signatures to pinpoint significant genes associated with early detection of pancreatic cancer
• Identify significantly differentially expressed isoforms and their association to pancreatic cancer
• Generate novel regulatory networks as hypotheses suggesting drivers of the expression changes observed in these tumor producing exosomes to better understand pancreatic cancer drivers.
Transcriptome Analysis of Pancreatic Cancer Exosomes Reveal Pathways & Biological Processes Involved in Metastatic Progression
Date: April 26, 2016 | Time: 9:00am – 1:00pm
Workshop leaderDr. Jamie Hill Senior Bioinformatics Scientist QIAGEN
Workshop leaderDr. Jean-Noel Billaud Principal Scientist QIAGEN
Jamie Hill received a Master’s degree in Physics and a PhD in membrane protein structure prediction under the supervision of Professor CM Deane in the Statistics department of the University of Oxford. In 2014 he was awarded a Marie Curie postdoctoral fellowship at QIAGEN Aarhus. Today he is the Product Owner of QIAGEN’s CLC Genomics Workbench.
Jean-Noel Billaud, Ph.D. is Principal Scientist at Qiagen Bioinformatics. He joined Ingenuity Systems (now QIAGEN) in 2008 as staff scientist for in silico research program in oncology and infectious diseases. Jean-Noel Billaud holds a Ph.D. in Blood Cell Biology from Paris VII, and has done his post-doctoral work at the Scripps Research Institute (San Diego, CA).
RNA-Seq Forum
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Pre- Conference Workshop - B
In recent years the role of the microbiota in health and disease is a field of research that has exploded with interest and opportunity. We now have a better understanding of how changes to the composition of our natural microbiome and their products impacts upon the initiation and development of disease. This has unlocked exciting new avenues for therapeutic intervention.
In order to fully harness these new avenues of treatment, we must first advance our understanding of the specific role of microbiome communities in the progression of disease. Karsten Zengler will spearhead this dynamic and interactive session focussed on harnessing the power of RNA sequencing to provide detailed insight into the composition and function of the microbiota in a disease specific context. By attending this workshop, you will learn about and debate the following:
• Analyzing microbiome signatures: identification of gene expression patterns in complex microbial communities
• Deciphering the data: identifying strategies to maximize value output from microbiome RNA sequencing
• On the origin of species: delineating and attributing patterns of gene expression within the microbiome community
• Interpreting microbiota gene expression profiles to detail specific impacts on health and disease
• Algorithm refining and streamlining to increase the speed of analysis and subsequent application of RNA sequencing in microbiome research
• Clinically applying metatranscriptomics as a taxonomic biomarker and diagnostic tool
• Developing gold standard universal microbiome RNA sequencing protocols to aid reproducibility and the verification of microbial influence in disease progression
• Applying metatranscriptomics to guide drug discovery and development
• Creating accurate software packages for Prokaryotic RNA sequencing analysis
Attend this workshop to delve extensively into the subject matter, collaborate with fellow experts in the field, and hear a multitude of view points and experiences. You will leave better equipped to effectively utilize RNA sequencing to drive your microbiome disease research.
Successfully Utilizing Metatranscriptomics to Advance Progression in Microbiome Disease Research
Date: April 26, 2016 | Time: 2:00pm - 5:00pm
Workshop leaderKarsten Zengler Associate Professor, Division of Host-Microbe Systems & Therapeutics University of California, San Diego
Karsten Zengler is Associate Professor in the Department of Pediatrics, Division of Host-Microbe Systems & Therapeutics at the University of California, San Diego and member of the leadership team of the Center for Microbiome Innovation.
Prof. Zengler has more than 15 years of experience in the fields of microbiology and systems biology. He worked for seven years in the biotechnology industry where he led a team of scientists to pioneer the high-throughput cultivation for the isolation and recovery of previously unculturable microorganisms. His work has focused on microbial ecology and understanding
microorganism interactions with each other, their environment and their host. He spearheaded the field of community systems biology where he combined his knowledge in microbial physiology and molecular biology with computational biology to discover new physiological capabilities, regulatory effects, and novel mechanisms of interaction. Dr. Zengler is author and co-author of more than 50 research articles and reviews as well as editor of the book “Accessing Uncultivated Microorganisms”. He founded several companies and is on the advisory board of different companies and institutions
RNA-Seq Forum
Commercial Partners
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Clontech
Clontech’s comprehensive collection of SMARTer® NGS kits is built on core SMART® technology, a powerful process that provides the ability to read full-length transcript information. With years of experience and a strong focus on improving the process of RNA-seq library preparation and the quality of data produced from every sample, this highly sensitive family of RNA-seq products is constantly growing in order to fulfill more demanding research needs.
www.clontech.com
Thermo Fisher Scientific
Thermo Fisher Scientific Inc. is the world leader in serving science, with revenues of $17 billion and approximately 50,000 employees in 50 countries. Our mission is to enable our customers to make the world healthier, cleaner and safer. Through our premier brands – Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific and Unity Lab Services – we offer an unmatched combination of innovative technologies, purchasing convenience and comprehensive support. For more information, please visit
www.thermofisher.com
QIAGEN
Qiagen is a provider of sample and assay technologies for molecular diagnostics, applied testing, academic and pharmaceutical research. Consolidated under the Dutch holding Qiagen N.V., the company operates more than 35 offices in over 20 countries.
www.qiagen.com
Fluidigm
Fluidigm creates and manufactures innovative technologies and life-science tools designed to revolutionize biology through a relentless pursuit of scientific truth. Its core technologies are based on microfluidics and mass cytometry, and enable the exploration and analysis of individual cells, as well as the industrial application of genomics.
Fluidigm partners with life science researchers and enterprises to provide simplified workflows for genomics and proteomics applications. Whether your quest is to understand the profiles and functions of single cells or to meet high-throughput data demands of a production-scale laboratory, you’ll find a solution at
www.fluidigm.com
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Genialis
Genialis builds software that empowers the biologist or clinician to explore her data autonomously. Genialis Platform is a complete ecosystem for NGS data management, analysis, visualization and collaboration. The Platform boasts Real Time Interactive Visualizations, a technology we developed to enhance the user experience and improve the efficiency of data exploration and discovery.
www.genialis.com
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Diane McKenna Portfolio Director - Genomics
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Seven Bridges
Seven Bridges is the biomedical data analysis company accelerating breakthroughs in genomics research for cancer, drug development and precision medicine. The scalable, cloud-based Seven Bridges Platform empowers rapid, collaborative analysis of millions of genomes in concert with other forms of biomedical data. Thousands of researchers in government, biotech, pharmaceutical and academic labs use Seven Bridges, including two of the largest genomics projects in the world: U.S. National Cancer Institute’s Cancer Genomics Cloud pilot and Genomics England’s 100,000 Genomes Project. The company’s 187 experts work from its Cambridge, MA headquarters and offices in Belgrade, London and San Francisco.
www.sbgenomics.com
Dolomite
Dolomite develops and manufactures innovative, open and versatile droplet systems for handling tens of thousands of single cells. Applications include high throughput single cell RNA sequencing, T Cell Receptor sequencing, high throughput antibody isolation, and encapsulation of cells in hydrogel beads for culture or enzymatic reactions. We offer modular, scalable systems ideal for Single Cell RNA-Seq and a range of chips, and installation and training.
www.dolomite-microfluidics.com
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