Søren Brunak
Accomplishments by a Senior Scientist Award
University of Copenhagen & Technical University of Denmark
Presentation Title: Creating disease trajectories of time-ordered comorbidities from big biomedical data covering millions
of patients
Time: Tuesday, July 12th, 4:40 pm - 5:40 pm
Introduction by: Pierre Baldi
Room: Northern Hemisphere BCD, Dolphin Hotel
Abstract:
Compared to the initial expectation human beings are gene-poor organisms. Many genes and pathways are likely to play a role in more than one disease, and numerous examples of gene pleiotropy and protein
multi-functionality presumably await discovery. This situation contributes to the recent interest in clinical healthcare sector data and their accounts of fine-grained multi-morbidities. Patient record data remain a
rather unexplored, but potentially rich data source for discovering correlations between diseases, drugs and genetic information in individual patients. A fundamental question in establishing biomarker-phenotype relationships is the basic definition of phenotypic categories. As an alternative to the conventional case-control, single disease model the talk will describe attempts to create phenotyoic categories and patient stratification based on longitudinal data covering long periods of time. We carry out temporal analysis of clinical data in a more life-course oriented fashion. We use data covering 6-7 million patients from Denmark collected over a 20 year period and use them to “condense” millions of individual trajectories into a smaller set of recurrent ones. This set of trajectories can be interpreted as re-defined phenotypes representing a temporal diseaseome as opposed to a static one computed from non-directional comorbidities only. A special case is represented by disease co-occurrences which are treatment provoked, e.g. adverse drug reactions. An important issue is to resolve whether specific adverse drug reactions relate to variation in the individual genome of a patient, to drug/environment cocktail effects, or both. From patient records ADR profiles of approved drugs can be constructed using drug-ADR networks, or alternatively patients can be stratified from their ADR profiles and compared. This type of work can potentially gain importance in projects involving population-wide genome sequencing in the future.
Biography:
Søren Brunak, Ph.D., is professor of Disease Systems Biology at the University of Copenhagen and professor of Bioinformatics at the Technical University of Denmark. He is Research Director at the Novo Nordisk Foundation Center for Protein Research at the University of Copenhagen Medical School. He leads a research effort where molecular level systems biology data are combined with the analysis of phenotypic data from the healthcare sector, such as electronic patient records, registry information and biobank questionnaires. A major aim is to understand the network basis for comorbidities and discriminate between treatment related disease correlations and other comorbidities, thereby stratifying patients not only from their genotype, but also phenotypically based on the clinical descriptions in their medical records. Prof. Brunak started work within bioinformatics in the mid-1980ies, and was in 1993 the founding Director of the Center for Biological Sequence Analysis at DTU, which was formed as a multi-disciplinary research group of molecular biologists, biochemists, medical doctors, physicists, and computer scientists. The center offers a wide range of services at its web site, www.cbs.dtu.dk, including bioinformatics tools developed over the past 25 years.
Applied Knowledge Exchange Sessions - Saturday, July 11
Note:
Morning Breaks: 10:15 - 10:45
Afternoon Breaks: 3:30 - 4:00
AKES 01: Clouds, Clusters, and Containers
Time: 8:30 am – 5:30 pm (includes 2 coffee breaks and lunch break)
Overview
Better tools enable new discoveries; it is as true for computation as it is for experiment. Computing has been a pervasive part of scientific research across disciplines for a while, but as computational requirements increasingly exceed the capabilities of single workstations, the pressure is mounting for researchers to develop a new skillset and leverage a new toolset.
This workshop addresses the challenges and requirements for working effectively on cloud computing and high performance computing resources, discusses the key principles that should guide responsible scientific computation and collaboration, and using hands-on sessions presents practical solutions using emergent software tools that are becoming widely adopted in the global scientific community. Specifically, we will look at using “containers” to bundle software applications and their full execution environment in a portable way. We will look at managing and sharing data across distributed resources. And finally, we will tackle how to orchestrate job execution across systems and capture metadata on the results (and the process) so that parameters and methodologies are not lost. And perhaps the most important part, we will not be using the command line to achieve this.
Learning Objectives
- Build Containers – Like gift wrapping for code, it makes any scrappy workflow more socially acceptable. Containers let you (and everyone else) run your workflows almost anywhere and get the same answers.
- Use Science APIs – Once your workflows are containerized, Science APIs are the key to bending all computers to your will. It is perhaps the most powerful way to collaborate, capture metadata, orchestrate workflows, share data, and scale compute power.
- Publish responsibly – Capturing computational workflows only in the methods section of a paper or by posting source code is woefully insufficient now. Why not let your reviewers repeat your calculations with a few clicks?
Presenters
John Fonner
John’s interests lay in applying new technologies, hardware, and paradigms to genomic and biological problems in a way that is accessible to the average bench biologist. His Ph.D. work at the University of Texas in Austin was in Biomedical Engineering, involving computational chemistry and binding interactions. In 2011 John joined the life sciences computing group at the Texas Advanced Computing Center and has served and led a number of projects, all centered around either developing tools and infrastructure to support life sciences research or training scientists to leverage advanced computing resources. John has been consistently involved in teaching and training for over 8 years, including university courses, 1-on-1 mentoring, consulting, workshops, and presentations. Staying on the "front lines" of teaching technology to scientists is critical to his work as domain researcher, active programmer, and an experienced teacher.
Matthew Vaughn
After a postdoctoral fellowship in the Plant Genetics group at Cold Spring Harbor Laboratory,
where he researched genome architecture, genetic regulation, and small RNA biology,
Matt joined the research faculty of Cold Spring Harbor Laboratory in 2007 to conduct a program of
research in epigenetics and life sciences cyberinfrastructure. In 2010, he joined the Texas
Advanced Computing Center and today serves as the Director of Life Sciences Computing where he leads efforts to advance biologists' access to and utilization of advanced scientific computing technologies.
Matt regularly develops and teaches training courses for the Texas Advanced Computing Center as well
as research projects such as the iPlant Collaborative and the Arabadopsis Information Portal.
Maximum Attendees: 30
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AKES 02: Community Efforts to Enable Scalable and Reproducible Analyses of Thousands of Cancer Genomes
Time: 8:30 am – 12:30 pm
Scientific Justification:
The stated purpose of the AKES Presentations is to instruct attendees in "cutting-edge" bioinformatics subjects. Towards this aim, we propose a presentation focused on current efforts
to enable global-scale analyses of thousands of cancer genomes. In order to perform coordinated analyses of
large volumes of cancer data while reliably and identifying the variations that contribute to cancer,
the research community has coalesced on a set of
portable tools, data sharing practices, and reproducible analyses.
Concretely, this workshop will focus on 1) recent efforts around coordinated analysis of thousands
of cancer genomes and 2) tools such as dynamic computing, Docker, and the Common Workflow Language, and how these are being used to enable scalable and reproducible cancer informatics.
By learning about the tools, best practices, and how these tools are being used in to enable efforts by the
Global Alliance for Genomic Health (GA4GH) and the International Cancer Genome Consortium,
attendees will gain an appreciation and understanding of the current state of large scale cancer informatics. Further, we hope to encourage discussion about unmet needs in
cancer medicine and future solutions in addition to instruction.
Abstract
Reproducibility remains a major concern in biomedical research. Recently, it has been demonstrated that cancer informatics analyses performed within a single consortia may yield wildly variable results.
As the collection of genomic data and analyses continue to accelerate, concerns about maintaining the accuracy of results continues to grow. Largescale, accurate cancer analyses demand scalable informatics. Scalability in turn requires reproducibility and portability of tools, analyses, and data to ensure that researchers can collaborate easily and effectively. Recent technological developments and organizational efforts have sought to address the reproducibility problem in biomedical data analysis and have been successfully applied to
cancer informatics. For example, Docker containers enable researchers to package software with all of its required dependencies and nothing more. This feature allows software to be shared with anyone in such a way that the exact analysis can be reproduced. Docker containers can be easily shared through GitHub, third party repositories, or user to user with plain text files. Moreover, external tools can hook into Docker directly, using it as a component of complex pipelines or analyses. The Common Workflow Language (CWL) is one specification,
which enables researchers to describe analysis tools and workflows that are powerful, easy, and
portable. Dynamic computing environments, often referred to as ‘the cloud’, are able to support colocalization of cancer data, Docker+CWL workflows, and the computational
resources required to perform large scale analyses. These environments can be extended with collaboration and project
management tools to enable researchers to work
together in a transparent and reproducible fashion. These methodologies have enabled global scale cancer genomics initiatives such as the International Cancer Genome
Consortium (ICGC) PanCancer Analysis for Whole Genomes Project (PCAWG), and the National Cancer Institute (NCI) Cancer Genomics Cloud (CGC) pilot program.
In this workshop, we will instruct attendees in Docker and CWL as well as their use and best practices, and discuss concretely how these technologies enable scalable,
reproducible, and portable cancer informatics. We will also discuss the methodologies
behind how these tools are developed and deployed and pose the
following questions what are next steps for
improving reproducibility in bioinformatics and scale informatics efforts? What have we learned from analyses of
thousands of cancer genomes
that can be applied to other diseases and other consortium efforts? In addition, we will encourage discussion about unmet needs and future solutions in cancer informatics.
Organizer
Gaurav Kaushik
Dr.
Kaushik is a community manager at Seven Bridges
and assists both internal and external
developers with using Docker and building CWL pipelines on the Cancer Genomics Cloud.
He also has
an established track record in professional development planning. He is former chair of
the UC San
Diego Bioengineering research expo which brings together 400+ researchers and biomedical
professionals across California. He has led workshops on graph theory,
statistical modeling, and the
central dogma of molecular biology as an fellow for the
Insight Data Science program.
Timing | Presenter | Topic Area/Activity Description |
10min | Gaurav Kaushik, Seven Bridges
| Introduction to speakers, overview of agenda, aims for the day
|
45min | Brian O’Connor, OICR
| Hands On: Using Docker to Enable LargeScale Cancer Genomics Initiatives
Dr. O’Connor will begin by discussing the ICGC PCAWG project and the insights he's gained from rapidly analyzing thousands of whole cancer genomes. Attendees will learn about how his team has used Docker as a key component to their workflow, best practices for creating shareable tools, as well as the motivation behind the creation of DockStore (dockstore.org), a platform for sharing Dockerbased tools described with the Common Workflow Language. Attendees will learn how to create custom Docker containers and push them to DockStore to share with the community.
|
15 min | Michael Crusoe, University of California Davis |
Lecture: The Inception and Development of the Common Workflow Language: a Model for Community-Driven Projects Attendees will learn about how developers in industry and academia recognized the need for a language that enables reproducible workflows and came together to develop the Common Workflow Language, an emerging standard of global cancer informatics. Mr. Crusoe will present CWL as a model for future collaborative efforts to establish standards and practices that benefit the community.
|
30min | Brandi Davis Dusenbery, Seven Bridges
| Lecture: Scalable, Collaborative, Reproducible, and Extensible Analysis of TCGA Data in the Cloud
Dr. Davis Dusenbery will discuss the Cancer Genomics Cloud pilots project funded by the National Cancer Institute. The overarching goal of the project is to explore how co-localizing large genomics datasets, like The Cancer Genome Atlas, with dynamic compute infrastructure to analyze them, can make learning from these data faster, and ultimately enable precision medicine. The Cancer Cloud pilots also serve as a model for how collaborative research may be conducted for a variety of disease types at the national scale.
|
30min Coffee Break (10:1510:45am) |
30min | Gaurav Kaushik, Seven Bridges |
Hands-on Tutorial: Building and Executing a Cancer Analysis Pipeline on the CGC Dr. Kaushik will take attendees through a demonstration of the Cancer Genomics Cloud platform, including finding and using TCGA data and building and running applications and pipelines. The CGC is a public resource for cancer informatics researchers to work collaboratively.
|
30 min | Kyle Ellrott, Oregon Health & Science University
| Lecture: Collaborative Cancer Informatics
Dr. Ellrott will discuss his experience creating and using reproducible workflows to facilitate collaborative cancer genomics efforts. He will provide insight into the benefits and challenges of these approaches at scale. Additionally, Dr. Ellrott will present how portable workflows have enabled ‘Team Science’ through the Dialogue for Reverse Engineering Assessments and Methods (DREAM) challenges for collaborative efforts in cancer genomics. In particular he will highlight how the NCI Cancer Genomics Cloud pilots have been utilized by DREAM challenge participants to crowdsource cancer analyses using TCGA data.
|
30 min | All Hands | Forum: The audience will break into groups to discuss about individual components of the day's events:
- Next steps for global cancer analysis with Brian O’Connor
- The next DREAM challenge for cancer with Kyle Ellrott
- Cloud computing for cancer genomics with Gaurav Kaushik
and Brandi Davis-Dusenbery
|
Presenters
Gaurav Kaushik, Seven Bridges, United States
Dr. Kaushik is a product manager for the Seven Bridges softwaredevelopment kit for buildingportable applications and workflows using Docker and CWL. He is also the community manager for the Cancer Genomics Cloud,
which entails assisting developers in using open tools to enable their research.
Brian O’Connor, Ontario Institute for Cancer Research (OICR), Canada
Dr. O'Connor is the Managing Director of Cloud Computing at OICR. He has been a member of major genomics collaborative efforts such as the PanCancer Analysis of Whole Genomes. He has also helped develop DockStore, an open platform for sharing Dockerbased tools described with the Common Workflow Language which is used by the Global Alliance for Genomic Health (GA4GH).
Kyle Ellrott, Oregon Health & Science University (OHSU), United States
Prof. Ellrott is a leading expert in cancer genomics and data integration and management as a contributor to the UCSC Genome Browser. He has participated in and led DREAM challenges, an open-science effort to find solutions for pressing problems in biological science and human health.
Michael Crusoe, University of California, Davis, United States
Michael Crusoe is the Community Engineer for the Common Workflow Language, which entails managing the development of CWL but also external communications with collaborators and users. He is also Staff Engineer in the C. Titus Brown lab at UC Davis, where he helped developed new software for analysis of high throughput sequencing data.
Brandi Davis-Dusenbery, Seven Bridges, United States
Dr. Davis-Dusenbery is the program lead on
the Seven Bridges Cancer Genomics Cloud Pilot funded
by the National Cancer Institute. As Scientific Program Manager, she has facilitated
large-scale events related to extending the adoption of novel
bioinformatics tools and approaches.
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AKES 03: Synthetic Biology Open Language – standards, tools and guideline on managing both the functional design and the sequence details of your experiments
Time: 8:30 am – 12:30 pm
Synthetic biology is the creation of new living systems using programmable DNA, RNA, and protein components. The applications of synthetic biology are exciting, wide-ranging, and potentially transformative, but engineering biosystems is no easy task. Consequently, projects often require interdisciplinary collaboration between synthetic biologists with specialized domains of expertise. The design cycle often consists of distinct stages carried out by appropriate experts, such as design of novel biopolymer sequences, sequence assembly and synthesis, biosimulation, and quality control of synthesized sequences.
In this session, we will introduce participants to the Synthetic Biology Open Language (SBOL). SBOL is a data standard that enables collaborative science and integrated workflows for synthetic biology. We will demonstrate one of these workflows and provide hands-on instruction with featured software tools
The SBOL standard has been developed through an open and inclusive process involving diverse members of the synthetic biology community. Originally SBOL was developed to capture the hierarchical organization of recombinant DNA sequence constructs. Now in its second version SBOL can describe both the structural and functional semantics of biosystems. In addition SBOL supports descriptions of a wide range of biomolecular sequences and species, including CRISPR and TAL effectors. During our session, we will present a number of use cases that illustrate SBOL’s expressive capability and compare it to other bioinformatics standards. We hope to encourage others to use SBOL in their own projects, as well as to discuss areas where SBOL can be further improved to support use cases provided by participants with experimental backgrounds.
Learning Objectives
- Learn about software tools that support different stages of the synthetic biology design cycle. If you are a synthetic biologist, we hope you will discover at least one new tool applicable to your specific domain of interest.
- Get hands-on with tools for computer-aided design (SBOLDesigner), gene circuit engineering (iBioSim), and design knowledgebases in the cloud (SBOLStack). You will forward engineer the dynamic behavior of a simple gene circuit and design its DNA sequence using off-the-shelf parts from the Stack.
- Learn how to read and write SBOL files using our open-source libraries, including C++, Java, Python, and JavaScript implementations
- Learn how and why you should join standard development efforts like SBOL standards-development. You’ll learn about integrated workflows for synthetic biology that are possible with SBOL. We’ll also discuss interoperability with other standards like SBML for biosimulation and DiCOM-SB for experimental measurement.
Organizer
Kevin Clancy, Staff Scientist in the ThermoFisher Scientific Synthetic Biology Unit and Editor of the SBOL Development Community, Carlsbad, California, United States
Many years experience in developing desktop, web and cloud based softwares Editor for the Synthetic Biology developers group since 2013 Have developed and taught people how to use softwares, most notably Vector NTI since 2000 Many years of experience speaking in public in both professional and public events on bioinformatics and synthetic biology topics
Timing | Presenter | Topic Area/Activity Description |
10min | Kevin Clancy
Brian Bartley
| Introduction to Speakers |
30min | Kevin Clancy | Lecture – Overview of how structural and functional data is needed |
30min | Brian Bartley | Lecture - Overview of the SBOL standard |
30min | Kevin Clancy | Lecture - Demonstration of experimental designs that can be represented by the SBOL standard |
30min | Brian Bartley | Hands On exercise - Installation of iBioSym |
30min Coffee Break |
30min | Kevin Clancy |
Hands on Exercise using iBioSym as an SBOL compliant tool
Worked examples of how to use this software to develop SBOL complient designs. Exercises in importing and exporting SBOL compliant data.
|
30min | Brian Bartley |
Lecture - Overview of libSBOLj, a parser for SBOL files |
40min | Kevin Clancy & Brian Bartley | Hand On Exercise
Installation of the software on user's laptops and worked examples of how to use the library to read and write SBOL files |
10min | Kevin Clancy | Discussion of the developer community. Question and Answer session
|
Presenters
Kevin Clancy, ThermoFisher Scientific Synthetic Biology Unit, United States
Teaching experience in commercial settings since 2000 Published papers and produced commercial software supporting synthetic biology and supporting this standard since 2010 Member of the SBOL community, leading development of standards since 2010 Editor of the SBOL community, organizing workshops and actively working to promote development and publication of the SBOL standard and supporting tools since 2013
Brian Bartley, University of Washington, United States
Editor of the SBOL community, organizing workshops and actively working to promote development and publication of the SBOL standard and supporting tools since 2013 Published papers and produced commercial software supporting synthetic biology and supporting this standard since 2012
Anil Wipat, Professor of Computing Science and Chair of the SBOL Development Community, University of Newcastle, Newcastle upon Tyne, United Kingdom
TBA
Maximum Attendees: 40
Delegate Requirements:
Please bring a laptop. Featured software tools require a JVM or Python 2.7.
Session participants need only have a general knowledge of synthetic biology.
Participants hoping to work with one of our libraries should have some prior development knowledge although we will keep this at an introductory level.
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AKES 04: Living on the Edge (of Translational Informatics) - Opportunities and Challenges for Integrating Bioinformatics into the Clinical Realm
Time: 1:30pm – 5:30pm
Abstract
Bioinformatics tools and techniques are becoming an essential component of clinical care, yet integrating these new modalities into clinical practice remains a challenge. From molecular diagnostics to pharmacogenomics to molecular pathology and molecular medicine, it is increasingly critical for there to be integration between the bioinformaticians performing the analyses and the clinicians interpreting and acting on the results. This session will focus on these interfaces, with particular attention to the tools, systems, and processes required for an efficient transition “from bench to bedside.” The speakers all have experience working on both sides of this imaginary divide and will provide insights into driving discovery into the clinic. It is expected that the audience member will gain a more in depth understanding of the issues facing data scientists and clinicians alike. Dr. Russ Altman will moderate the session and introduce each speaker using relevant examples from the literature. Speakers will cover topics ranging from an overview of bioinformatics techniques used in clinical practice to the ethics and legal implications of genomic testing. Anyone working at the interface of genomics and medicine will find this session useful and informative.
Agenda
Each session is slated for 30 minutes and will include five minutes of questions.
Timing | Presenter |
Topic Area/Activity Description |
1:30-1:45 |
Russ Altman, MD, PhD
Stanford University |
Introduction to speakers / overview
Dr. Altman will give an overview of the session and the learning objectives. He will introduce each speaker and talk using examples from the literature relevant to each topic.
|
1:45-2:15 |
Samuel Volchenboum, MD, PhD
University of Chicago
|
Lecture - Overview of bioinformatics techniques and uses in clinical practice and research
This talk will focus on a broad and high-level overview of how bioinformatics is being harnessed to answer clinical questions and for medical decision making. Clinical vignettes will be used along with practical examples from a sampling of academic programs. Covered will be both panel testing / targeted sequencing as well as exome and whole genome sequencing. Also briefly discussed will be how research groups can be leveraged for clinical testing, including the CAP certification and HIPAA and 21 CFR Part 11 compliance.
|
2:15-2:45 |
Robert R. Freimuth, PhD
Mayo Clinic |
Lecture - Utilizing genomic data in clinical systems
Researchers and clinicians have more opportunities to share data and knowledge than ever before, but there remain significant challenges to the meaningful exchange, integration, and use of information. This presentation will provide examples of how genomic data are recorded in electronic health record systems and how those results are used clinically. Specific challenges will be highlighted, such as variability in the representation of genetic data, and growing needs related to knowledge management, as well as the impact that those challenges have on patient care and translational research. Existing efforts by both international standards organizations and national consortia to develop normalized systems for the efficient exchange and integration of data related to clinical genomics will be reviewed.
|
2:45-3:15 |
Lewis Frey, PhD |
Lecture - Collection of data for research
The talk will explore how data are collected and used for subsequent research. As panel and sequencing data are collected and stored, it will become important to understand who “owns” these data and who can use them for research. Finally, how these data are integrated into the data warehouse and connected to clinical information will be explored along with how to address issues of interoperability |
3:30-4:00 Coffee Break |
4:00-4:15 | Subha Madhavan |
Demo - G-DOC Plus:
A Data Science Platform for Precision Medicine Research |
4:15-4:45 | Casey Overby, PhD
Johns Hopkins University
| Lecture - Increasing the reach of clinical genomics research and genomics-informed care
Underrepresented research populations are less likely to benefit from genomic advances. Thus, there is a critical need to improve the reach of clinical genomics research to broader populations. Further, there is a need to deliver customized guidance for acting upon results from those studies. The learning objectives for this session will be to understand: (a) emerging communication models leveraging technology to increase patient engagement, and (b) the potential for programmatic clinical decision support to facilitate customized genomics-informed care guidance. Specific examples assessing public interest in donating biobank samples and the risk communication needs of cancer genetic counselors will be described.
|
4:45-5:15 |
Jessie Tenenbaum, PhD Duke University |
Lecture - Ethical, legal, and social implications of genomic testing
Though significant advances have been made toward realization of genomic medicine, precision medicine is still in its early days. Here we describe a case in which a patient’s treatment was altered based on direct-to-consumer genetic testing. Genomic medical guidelines continue to evolve such that a different, and less aggressive, therapeutic course would be recommended today. This case illustrates issues around the translation of genetic knowledge into clinical practice: patient engagement and personal preferences, patient and clinician education, genomic data integration in EHRs, and legal and financial implications of genetic findings. Researchers and clinicians will need to work closely with patients and patient communities as well as ethical, legal, social, and economic experts in order to fully realize the promise and the value of genomic medical practice.
|
5:15-5:30 | Panel | Panel discussion |
Maximum Attendees: 50
Delegate Requirements: Attendees will benefit from prior experience with bioinformatics or computational biology, especially in the field of cancer. This session will serve as a suitable introduction to dynamic computing, Docker, Common Workflow Language, and the broader subject of reproducible analyses. Hands on demos of publicly available software will be conducted so attendees are encouraged to bring their
laptops.
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AKES05: Cytoscape 3 User Tutorial: Introduction to network visualization and analysis using Cytoscape
Time: 1:30pm – 5:30pm
Overview
The network perspective on biology aims to bring meaningful context to high-throughput data for exploratory analysis, interpretation and hypothesis generation. As a free and open source tool, Cytoscape has become the most popular network visualization and analysis tools in the biological sciences. It is now cited in over 600 publications per year and downloaded 14,000 times per month. This workshop will provide a general introduction to network biology studies and Cytoscape concepts, including a hands-on session for universal data import and demonstration of a few of the over 250 freely available apps contributed by the Cytoscape developer community.
Learning Objectives
- Import any tabular data into Cytoscape
- Integrate your data with public sources of networks, pathways and other datasets
- Master network layout and data visualization
Presenters
Alexander Pico, National Resource for Network Biology, United States
Alexander Pico is the Executive Director of the National Resource for Network Biology (NRNB.org), the Vice President of the Cytoscape Consortium, and Associate Director of Bioinformatics at Gladstone Institutes. He has been a contributing member to Cytoscape since 2006 and has led numerous Cytoscape and Network Biology workshops and mentoring programs over the past 9 years.
John “Scooter” Morris, University of California, United States
John “Scooter” Morris is the Executive Director of the Resource for Biocomputing, Visualization, and Informatics at UCSF, the “Roving Engineer” for Cytoscape, and an Adjunct Assistant Professor of Pharmaceutical Chemistry at UCSF. He has given numerous presentations on using and extending Cytoscape and is a Cytoscape core developer as well as the developer of over a dozen Cytoscape apps, including chemViz, structureViz, clusterMaker, and cddApp.
Maximum Attendees: 30
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