Microbiology for the CTSA: Ontological Approaches: Difference between revisions

From NCOR Wiki
Jump to navigationJump to search
(→‎Schedule Day 1: October 25: Removed Gigi Lipori from Education session)
 
(165 intermediate revisions by 4 users not shown)
Line 15: Line 15:
*'''Session I. Microbiomes and Host-Microbiome Interactions''' organized by Oliver He
*'''Session I. Microbiomes and Host-Microbiome Interactions''' organized by Oliver He


*'''Session II: Education session''' organized by Amanda Hicks
*'''Session II: CTSO Breaking Topics: Informatics Metrics''' organized by Amanda Hicks and Bill Hogan


In this session we plan to discuss the following questions: What are critical needs in microbiology that ontology can help to address? What do microbiologists need to know to use and develop ontologies? What experience do microbiologists need to acquire to use and develop ontologies? What do ontologists need to know to develop ontologies with and for microbiologists? How to generate use cases to demonstrate the usage of ontology in microbiology? This is not a didactic session.
*''' Session III. Infectious Disease Ontology (IDO) and related ontologies and topics''' organized by Lindsay Cowell


*''' Session III. Infectious Disease Ontology (IDO) and related ontologies and topics''' organized by Lindsay Cowell
*''' Session IV: Sharing Clinical Microbiology Data Across the CTSA Consortium''' organized by Bill  Hogan
Clinical laboratory data are a routine feature in research data repositories and their associated query mechanisms such as i2b2.  However, the inclusion of microbiology data from the clinical laboratory are much less frequently present.  Issues include which ontologies to use to identify micro-organisms, sensitivity tests, sensitivity test results, and the microbiology tests performed. Also, linking "bugs to drugs" (identified micro-organisms to their sensitivity tests/results) is often quite complicated to do accurately and reliably.  This session will explore these and other issues, with an eye towards optimal modeling of clinical microbiology data for translational research.


*''' Session IV: Sharing Clinical Microbiology Data Across the CTSA Consortium''' organized by Barry Smith
[https://www.michr.umich.edu/ MICHR] has also generated an announcement website for our workshop:
[https://microbiologyctsa17.splashthat.com/ https://microbiologyctsa17.splashthat.com/]


----
== '''Organizers''' ==  
== '''Organizers''' ==  
'''Workshop Co-organizers:'''  
'''Workshop Co-organizers:'''  
Line 36: Line 39:
Barry Smith (University at Buffalo, Buffalo, NY), phismith@buffalo.edu
Barry Smith (University at Buffalo, Buffalo, NY), phismith@buffalo.edu


== '''Sponsor''' ==
'''MICHR organizer:'''  
* '''The Michigan Institute for Clinical & Health Research''' ([https://www.michr.umich.edu/ MICHR]), a University of Michigan institute funded by the NIH Clinical and Translational Science Awards ([https://ncats.nih.gov/ctsa CTSA]).  
 
Jamie Racklyeft, Communication Director, MICHR, jracklye@med.umich.edu
 
'''ULAM organizers:'''  
 
Veronica Rieberger, Administrative Specialist, vrieberg@med.umich.edu
 
Teresa Fracala, Executive Assistant to Department Chair, ULAM, University of Michigan Medical School, fracalat@med.umich.edu
 
== '''Sponsors''' ==


We are grateful also to the MICHR for sponsoring $3,000 for supporting two keynote speakers' attendance at the meeting.
* '''The Michigan Institute for Clinical & Health Research''' ([https://www.michr.umich.edu/ MICHR]), a University of Michigan institute and [https://ncats.nih.gov/ctsa CTSA] hub supported by the National Center for Advancing Translational Sciences at the National Institutes of Health.
 
We are grateful also to the MICHR and [https://medicine.umich.edu/medschool/leadership/george-mashour-md-phd Dr. George Mashour] (MICHR director) for sponsoring $3,000 for supporting two keynote speakers' attendance at the meeting.
[[File:MICHR-signature-acronym.png|thumb|350px|center|link=https://www.michr.umich.edu/|MICHR]]
 
* '''The Unit for Laboratory Animal Medicine''' ([http://animalcare.umich.edu/unit-laboratory-animal-medicine ULAM]) at the University of Michigan Medical School, We are also grateful to [http://animalcare.umich.edu/department/staff/robert-c-dysko-dvm-daclam Dr. Bob Dysko], the previous ULAM director in the University of Michigan Medical School, for his generous support of $4000 for catering and junior scholars attending the workshop (See more information below).


== '''Date'''  ==
== '''Date'''  ==
Line 45: Line 62:


== '''Venue'''==
== '''Venue'''==
[http://conferences.umich.edu/venues/henderson/ Henderson Room at the Michigan League], University of Michigan, Ann Arbor, MI.
Address: 3rd floor, Michigan League, 911 N. University, Ann Arbor, MI 48109-1265 [https://www.google.com/maps/place/Michigan+League/@42.2790343,-83.7398302,17z/data=!3m1!4b1!4m5!3m4!1s0x883cae41112bb9cf:0x2163c675f6ac28e9!8m2!3d42.2790304!4d-83.7376361 Google map]
[[File:16-Michigan-League.jpg|thumb|300px|center|link=https://uunions.umich.edu/league|Michigan League]]
----


=='''Schedule Day 1: October 25'''==
=='''Schedule Day 1: October 25'''==
Line 52: Line 76:
8:00am: Registration and Breakfast
8:00am: Registration and Breakfast


8:45am: ''Welcoming remarks'' Oliver He, Barry Smith
8:45am: Welcoming remarks, by Oliver He <sup>[http://ncorwiki.buffalo.edu/images/7/73/He-openning.pdf Slides]</sup>, Barry Smith, Kanchan Lota (MICHR managing director) <sup>[http://ncorwiki.buffalo.edu/images/6/6c/MicrobiologyCTSA_MICHR_Kanchan.pdf Slides]</sup>


<u>Session I: Microbiomes and Host-Microbiome Interactions</u>
<u>Session I: Microbiomes and Host-Microbiome Interactions</u>
Line 58: Line 82:
Session coordinator: Oliver He  
Session coordinator: Oliver He  


9:00am: If you are interested in presenting at this session, please contact Oliver He (yongqunh@med.umich.edu).
9:00am: OMP: The ontology for microbial phenotypes - Deborah A. Siegele / Jim Hu <sup>[http://ncorwiki.buffalo.edu/images/8/8b/OMP-Debby.pdf Slides]</sup>


10:30am: Break
9:20am: ''The MicrO ontology; enabling the acquisition of higher-order knowledge of phenotypes from prokaryotic taxonomic descriptions and the construction of very large character matrices'' - Carrine E. Blank <sup> [http://ncorwiki.buffalo.edu/index.php/File:MicroOntology_CTSO.Oct2017.pptx Slides]</sup>
 
9:40am: ''MEOWL: Microbial Environments described using OWL'' - Ramona L. Walls <sup>[http://ncorwiki.buffalo.edu/index.php/File:Walls_CTSOG_meowl.pdf Slides]</sup>
 
10:00-10:30am: Break
 
10:30-11:45 am: Development and applications of the Ontology of Host-Microbiome Interactions (OHMI).
 
This section includes the following talks:''' 
 
10:30-11:00 am: ''Brief OHMI introduction and OHMI representation of rheumatism-associated host-microbiome interactions'' - Oliver He <sup>[http://ncorwiki.buffalo.edu/images/a/ac/OHMI-He.pdf Slides]</sup>
 
11:00-11:15 am: ''Ontology of Host-Microbiome Interactions use case at UPenn'' - Jie Zheng <sup>[http://ncorwiki.buffalo.edu/images/f/f8/MicrobiomeDB_OHMI_Jie_Zheng.pdf Slides]</sup>


11:00am: Development and application of the Ontology of Host-Microbiome Interactions (OHMI)''' Oliver He
11:15-11:30 am: ''Ontology of Host-Microbiome Interactions use case at MUSC'' - Jihad Obeid / Alexander Alekseyenko <sup> [http://ncorwiki.buffalo.edu/index.php/File:MUSC_%C2%B5Biome.pptx Slides]</sup>


11:30am: If you are interested in presenting at this session, please contact Oliver He (yongqunh@med.umich.edu).
11:30-11:45 noon: ''Ontology of Host-Microbiome Interactions use case at Duke'' - Anna Maria Masci<sup>[http://ncorwiki.buffalo.edu/images/f/fd/Masci_Ann_Arbor_2017.pdf Slides]</sup>


11:45-12:15: Discussion on the morning session topics


12:00: Lunch
12:15: Lunch
   
   
----


<b>Wednesday Afternoon </b>
<b>Wednesday Afternoon </b>


<u>Session II: Education session </u>
<u>Session II: CTSO Breaking Topics: Informatics Metrics </u>


Session coordinator: Amanda Hicks
Session coordinator: Amanda Hicks


In this session, we will discuss: What are critical needs in microbiology that ontology can help to address? What do microbiologists need to know to use and develop ontologies? What experience do microbiologists need to acquire to use and develop ontologies? What do ontologists need to know to develop ontologies with and for microbiologists? How to generate use cases to demonstrate the usage of ontology in microbiology?
1:00pm: ''Ontological Representation of Software to Make it FAIR'' - Bill Hogan


1:30pm:  ''FAIR principles and the Immune Epitope Database (IEDB)'' - James Overton <sup>[http://ncorwiki.buffalo.edu/index.php/File:Overton-FAIR-20171025.pdf Slides]</sup>


1:00pm: Title TBD
2:00pm: ''Using cyberinfrastructure to make life sciences data FAIR: lessons learned'' - Ramona Walls <sup>[http://ncorwiki.buffalo.edu/index.php/File:Walls-CyVerse_FAIR_CTSOG.pdf Slides]</sup>
 
2:30pm: ''Measuring Interannotator Agreement in the Florida Annotated Corpus for Translational Science - The difficult ontological task'' - Amanda Hicks <sup>[http://ncorwiki.buffalo.edu/index.php/File:FACTS-CTSOG_2017.pptx Slides]</sup>


2:00pm: If you are interested in presenting in this session, contact Amanda Hicks (aehicks@ufl.edu).


3:00pm: Break
3:00pm: Break


3:30pm: If you are interested in presenting in this session, contact Amanda Hicks (aehicks@ufl.edu).
3:30pm: Discussion


4:15pm: Keynote address 1: Title TBD''' Dr. Richard Scheuermann (J. Craig Venter Institute)
4:15pm: '''Keynote address 2: Identification and representation of cellular biomarkers using high-content single cell cytometry and sequencing technologies ''' Dr. Richard Scheuermann (J. Craig Venter Institute)
[[File:Scheuermann R.jpg|thumb|150px|left|link=https://pbs.twimg.com/profile_images/1406857375/Scheuermann_R_400x400.jpg|Richard Scheuermann]] '''Abstract''': A fundamental characteristic of multicellular organisms is the specialization of functional cell types through the process of differentiation.  These specialized cell types not only characterize the normal functioning of different organs and tissues, they can also be used as cellular biomarkers of a variety of different disease states and vaccine responses.  In order to serve as a reference for cell type representation, the Cell Ontology has been developed to provide a standard nomenclature of defined cell types for comparative analysis and biomarker discovery.  Historically, these cell types have been defined based on unique cellular shapes and structures, anatomic locations, and marker protein expression.  However, we are now experiencing a revolution in cellular characterization resulting for the application of new high-throughput, high-content cytometry and sequencing technologies.  The resulting explosion in the number of distinct cell types being identified is challenging the current paradigm for cell type definition in the Cell Ontology.  In this presentation, we will present examples of state-of-the-art cellular biomarker characterization using high-content mass cytometry and single cell RNA sequencing, and discuss strategies for standardized cell type representations based on the data outputs from these cutting-edge technologies.


'''Richard Scheuermann''' is the Director of Informatics at the J. Craig Venter Institute.  Since 2001, Dr. Scheuermann has applied his deep knowledge in molecular immunology and infectious disease toward the development of novel computational data mining methods and knowledge representation approaches, including the development of biomedical ontologies and their use in data mining, novel methods for the analysis of gene expression, protein network and flow cytometry data, and novel comparative genomics methods.  These knowledge representation approaches and computational methods have been made available to the research community through several public database and analysis resources, including the Influenza Research Database (IRD; www.fludb.org), the Virus Pathogen Resource (ViPR; www.viprbrc.org) and the Immunology Database and Analysis Portal (ImmPort; www.immport.org) supported by the National Institutes of Health.  At JCVI he is also expanding his bioinformatics research program into the area of human genomics.
&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp; ''Richard Scheuermann'', Ph.D., is the Director of the La Jolla Campus at the J. Craig Venter Institute (JCVI) and an Adjunct Professor of Pathology at U.C. San Diego.  Dr. Scheuermann has applied his deep knowledge of molecular immunology and infectious disease to the development of novel computational data mining methods and knowledge representation approaches, including the development of biomedical ontologies and their use in data mining, and the development of novel methods for gene expression, protein network, flow cytometry, and comparative genomics data analysis.  These computational methods have been made available through several public database and analysis resources, including the Influenza Research Database (IRD; https://www.fludb.org), the Virus Pathogen Resource (ViPR; https://www.viprbrc.org) and the Immunology Database and Analysis Portal (ImmPort; https://immport.niaid.nih.gov/) supported by the U.S. National Institutes of Health.


6:30pm: Dinner (Note: A nice Ann Arbor restaurant will be reserved for those who wish to join. The cost of dinner is not included in the workshop.)
6:30pm: Dinner (Note: A nice Ann Arbor restaurant will be reserved for those who wish to join. The cost of dinner is not included in the workshop.)
Line 99: Line 141:
8:00am: Registration and Breakfast
8:00am: Registration and Breakfast


8:30am: '''Keynote address 2: Title TBD''' Dr. Chris Stoeckert (UPenn)
8:20am: Remarks from Dr. Bob Dysko (University of Michigan)
 
8:30am: '''Keynote address 2: Ontology support of clinical, epidemiological, and microbiome data exploration ''' - Dr. Chris Stoeckert (UPenn) <sup>[http://ncorwiki.buffalo.edu/index.php/File:StoeckertOntologyClinicalEpidemiologyMIcrobiome.pptx Slides]</sup>
   
   
''Chris Stoeckert'' is a Professor of Genetics at the University of Pennsylvania School of Medicine. Dr. Stoeckert directs the Computational Biology and Informatics Laboratory. The goal of his lab's work is to help make sense of the enormous amount of biomedical data generated by high-throughput genomic approaches and synthesize them into something more than the sum of the parts. To that end, they are developing tools that enable researchers to mine and integrate data from a variety of different sources and types of experiments. His lab works with a number of groups on ontology projects, including the Ontology for Biomedical Investigations Consortium which is a member of the Open Biological and Biomedical Ontologies (OBO) Foundry. He has also been involved in a number of standards projects over the years, and am currently on the board of the FGED society, which promotes data sharing and standardized representation of data, particularly from genomic experiments. The approaches and tools his lab develops in one research arena can often be applied to another one. For instance, they are applying their data integration and analysis approaches to high-throughput sequencing data, including RNA-seq and ChIP-seq data.
[[File:Stoeckert-photo.jpg|thumb|150px|left|link=http://www.med.upenn.edu/apps/faculty/index.php/g306/c404/p6403|Chris Stoeckert]] '''Abstract''': The challenge of working with Big Data is not only scale but in many situations, also the complexity of what the data is about. This is especially true of clinical and epidemiological data where data is obtained for critical variables but often in an ad hoc and inconsistent manner. Critical understanding of how these variables impact health and host microbiome interactions requires analyses across different studies and data sources. Ontologies are key to meeting this challenge through providing semantic harmonization of common and specialized types of data; the realist process approach followed by ontologies in Open Biomedical Ontologies (OBO) Foundry (http://obofoundry.org/) provides a common understanding of what the data is about. We are using application ontologies based on OBO Foundry ontologies to encode our understanding of data dictionaries in multiple projects. The projects range from the epidemiology and transmission patterns of malaria to enteric pathogen influence on morbidity and mortality in young children. An additional challenge is to transform ontologic representations into user-friendly web interface terminologies for data exploration.  MicrobiomeDB (http://microbiomedb.org/mbio/) provides a web-based data-mining platform for interrogating microbiome experiments and makes use of our ontology and web interface terminology approach. The real power of ontologies will come from instantiation of data in these ontologies and the ability to do inferencing and searches of such data. A goal of the TURBO (Transforming and Unifying Research with Biomedical Ontologies) project at Penn is to instantiate an OBO Foundry-based application ontology with clinical data to support research starting with finding patient cohorts and biobank specimens.
 
&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp; ''Chris Stoeckert'' is a Research Professor of Genetics and faculty in the Institute of Biomedical Informatics at the University of Pennsylvania. He works on databases supporting the mining of complex datasets. Currently, he is co-investigator of the NIAID EuPath Bioinformatic Research Center supporting research on eukaryotic pathogens and a co-investigator of the NIA Genomics Alzheimers Disease Storage Site project supporting research of AD and related dementias. That and prior database work has gotten him involved in development of data standards such as MIAME (Minimal Information About a Microarray Experiment), MAGE-TAB format standard for reporting microarray experiments, and the development of biomedical ontologies such as the MGED Ontology.  He is a core developer of the Ontology for Biomedical Investigations (OBI), leads the development of the Ontology for Biobanking (OBIB), and serves on the OBO Foundry Operations Committee and Editorial Working Groups. He is faculty director of the TURBO (Transforming & Unifying Research with Biomedical Ontologies) project at Penn aimed at semantic harmonization and integration of clinical data.


10:00am: Break
9:30-9:45am: Break


<u>Session III: Infectious Disease Ontology (IDO) and related ontologies and topics</u>
<u>Session III: Infectious Disease Ontology (IDO) and related ontologies</u>


Session coordinators: Lindsay Cowell, Barry Smith  
Session coordinators: Lindsay Cowell, Barry Smith  


10:30am: ''The Present State of the Infectious Disease Ontology'' - Lindsay Cowell
9:45am: ''The Present State of the Infectious Disease Ontology'' - Lindsay Cowell<sup>[http://ncorwiki.buffalo.edu/images/b/b8/IDO_CTSOG_Meeting_2017.10.24.pdf Slides]</sup>, Barry Smith


11:00am: ''Immunology Ontology: A Survey'' - Barry Smith
10:30am: Break


10:45am: ''Infectious Disease Ontology Round Table'' - Lindsay Cowell, Barry Smith, Oliver He<sup>[http://ncorwiki.buffalo.edu/images/b/b1/IDOBRU-VO-He.pdf Slides]</sup>, Chris Stoeckert<sup> [http://ncorwiki.buffalo.edu/index.php/File:EuPath_ontology_for_IDO_session_2017.pptx Slides] </sup>, Richard Scheuermann


12:00pm: Lunch
11:45am: ''The Antibody Ontology'' - Alex Diehl


12:15pm:  Lunch


<b>Thursday - Afternoon</b>
<b>Thursday - Afternoon</b>
Line 123: Line 171:
Session coordinator: Bill Hogan  
Session coordinator: Bill Hogan  


1:00pm: If you are interested in presenting during this session contact Bill Hogan (hoganwr@ufl.edu).  
1:00pm: ''Microbiology Data in the Real World -- Examples and Thoughts from One Site'' - Gigi Lipori <sup>[http://ncorwiki.buffalo.edu/index.php/File:Micro-Ontology-Presentation.pptx Slides]</sup>
 
1:30pm:  ''Tissue Collection and Data Management in the Microbiome Clinical Studies'' - Dominick Lemas


2:00pm: ''Wrap-up session''
2:00pm: ''Working session: Building the Microbiome Ontology '' Barry Smith <sup>[https://buffalo.box.com/s/7822qqz5ly6o70f21t8p76zia97o8v3g Slides]</sup>


4:00pm: ''Close''
4:00pm: ''Close''


=='''Rationale'''==
=='''Rationale'''==
The CTSA Program has always emphasized the need for data standards to promote sharing and comparison of data across the CTSA Consortium and beyond. Yet creation and adoption of such standards is still painfully slow. Urgent action remains necessary. History shows the high value of standard terms, definitions, and symbols (i.e. ontology) to science. But the creation and adoption of such standards often takes decades. Translational science requires a consistent set of standard ontologies spanning all scales, from molecule to organism to population. In this year's meeting we focus on resources for describing data at the scale of micro-organisms XXX
The CTSA Program has always emphasized the need for data standards to promote sharing and comparison of data across the CTSA Consortium and beyond. Yet creation and adoption of such standards is still painfully slow. Urgent action remains necessary. History shows the high value of standard terms, definitions, and symbols (i.e. ontology) to science. But the creation and adoption of such standards often takes decades. Translational science requires a consistent set of standard ontologies spanning all scales, from molecule to organism to population. In this year's meeting we focus on resources for describing data at the scale of micro-organisms.
 
This workshop will convene stakeholders interested in identifying ways to XXX


== '''Goals'''==
== '''Goals'''==
Line 142: Line 190:


== '''Travel Fund Application'''==
== '''Travel Fund Application'''==
We hope to have travel funds available for junior scholars. Check back for more information.
We have secured $2000 as a travel fund, owing to Dr. Bob Dysko (the director of the Unit for Laboratory Animal Medicine in the University of Michigan Medical School), to support new investigators to attend the workshop.  


== '''Hotel Room Reservation'''==
If you are interested, please submit a short vita with a rationale for attendance to Dr. Oliver He at yongqunh@med.umich.edu by August 30, 2017. Decisions will be made August 31, 2017.


20 hotel rooms have been reserved in [https://www.google.com/maps/place/Holiday+Inn+Near+the+University+of+Michigan/@42.3041809,-83.6919257,17z/data=!3m1!4b1!4m5!3m4!1s0x883cac1b75a197f1:0xbc6750e4373aaf8d!8m2!3d42.304177!4d-83.689737 Holiday Inn Near the University of Michigan], 3600 Plymouth Road, Ann Arbor, MI 48105. Tel: 734.769.9800. Website: [http://www.hiannarbor.com http://www.hiannarbor.com].  
Eventually five travel awards were given to:(i) Amanda Hicks, U. of Florida, our workshop co-chair. (ii) Anna Maria Masci, Duke University; (iii) Jie Zheng, UPenn; (iv) William Duncan, University at Buffalo; and (v) Asiyah Yu Lin, FDA. Congratulations!


You can reserve a room for the nights of Oct 24-26. Our group rate for a single-bed or double-bed room will be $110 (+tax) per night. Reservations at our group rate will be accepted until October 10, 2017. Any additional reservations received after this date will be subjected to available space and prevailing rates.
== '''Participants''' ==


== '''Participants will include''' ==
Alekseyenko, Alexander (The Medical University of South Carolina, Charleston, SC)


Blank, Carrine E. (Department of Geosciences, University of Montana, Missoula, MT)
Blank, Carrine E. (Department of Geosciences, University of Montana, Missoula, MT)
Brochhausen, Mathias (University of Arkansas for Medical Sciences, Little Rock, AR)


Cascalho, Marilia I. (Department of Surgery, University of Michigan Medical School)
Cascalho, Marilia I. (Department of Surgery, University of Michigan Medical School)


Cowell, Lindsay (UT Southwestern, Dallas, Texas)
Cowell, Lindsay (UT Southwestern, Dallas, Texas)
Diehl, Alexander (University at Buffalo, Buffalo, NY)
Dipert, Randall (University at Buffalo, Buffalo, NY)
Duncan, Bill (Roswell Park, Buffalo NY)


Freddolino, Peter (Department of Biological Chemistry, University of Michigan Medical School)
Freddolino, Peter (Department of Biological Chemistry, University of Michigan Medical School)


Frederickson, Lynne (Taubman Health Sciences Library, University of Michigan, Ann Arbor, MI)
Frederickson, Lynne (Taubman Health Sciences Library, University of Michigan, Ann Arbor, MI)
Gross, Colin (University of Michigan, Ann Arbor, MI)
Guo, Kai (University of Michigan, Ann Arbor, MI)


He, Yongqun (Oliver) (University of Michigan Medical School, Ann Arbor, MI)
He, Yongqun (Oliver) (University of Michigan Medical School, Ann Arbor, MI)
Line 173: Line 233:


Hur, Junguk (Dept. of Biomedical Sciences, School of Medicine and Health Sciences, University of North Dakota)
Hur, Junguk (Dept. of Biomedical Sciences, School of Medicine and Health Sciences, University of North Dakota)
Landis-Lewis, Zach (University of Michigan Medical School, Ann Arbor, MI)
Lemas, Dominick (Dept. of Health Outcomes and Policy, University of Florida)


Lin, Asiyah Yu (FDA, Silver Spring, MD)
Lin, Asiyah Yu (FDA, Silver Spring, MD)


Lipori, Gigi (UF Health, Gainesville, FL)
Lipori, Gigi (UF Health, Gainesville, FL)
Manion, Frank (University of Michigan, Ann Arbor, MI)
Masci, Anna Maria (Duke University, Durham, NC)
Obeid, Jihad (The Medical University of South Carolina, Charleston, SC)
Ong, Edison (University of Michigan, Ann Arbor, MI)
Overton, James (Toronto, Ontario, Canada)


Scheuermann, Richard (J. Craig Venter Institute, La Jolla, CA)  
Scheuermann, Richard (J. Craig Venter Institute, La Jolla, CA)  
Line 185: Line 259:


Smith, Barry (National Center for Ontological Research, University at Buffalo, Buffalo, NY)
Smith, Barry (National Center for Ontological Research, University at Buffalo, Buffalo, NY)
Smith, Sam (DataSmith LLC.)


Soergel, Dagobert (University at Buffalo)
Soergel, Dagobert (University at Buffalo)


Stoeckert, Chris (University of Pennsylvania Perelman School of Medicine, Philadelphia, PA)  
Stoeckert, Chris (University of Pennsylvania Perelman School of Medicine, Philadelphia, PA)  
Walls, Ramona L. (CyVerse, Tucson, Arizona)
Wang, Jiahao (University of Michigan, Ann Arbor, MI)
Wang, Haihe (University of Michigan, Ann Arbor, MI)


Wu, Jianfeng (School of Public Health, University of Michigan, Ann Arbor, MI)
Wu, Jianfeng (School of Public Health, University of Michigan, Ann Arbor, MI)
Zhang, Wei (Section of General Surgery, University of Michigan Medical School, Ann Arbor, MI)


Zheng, Jie (University of Pennsylvania Perelman School of Medicine, Philadelphia, PA)
Zheng, Jie (University of Pennsylvania Perelman School of Medicine, Philadelphia, PA)
== '''Pictures taken from the event''' ==
[[File:IMG 6209-meetingRoom1.JPG|thumb|150px|left|link=http://ncorwiki.buffalo.edu/index.php/File:IMG_6209-meetingRoom1.JPG|Attendees in the meeting room, Day 1]]
[[File:IMG_6287-together.JPG|thumb|150px|left|link=http://ncorwiki.buffalo.edu/index.php/File:IMG_6287-together.JPG|Attendees together, Day 2. Note: some attendees not in]]
[[File:IMG_6219-Richard.JPG|thumb|150px|left|link=http://ncorwiki.buffalo.edu/index.php/File:IMG_6219-Richard.JPG|Richard Scheuermann keynote presentation, Day 1]]
[[File:IMG 6260-Chris.JPG|thumb|150px|left|link=http://ncorwiki.buffalo.edu/index.php/File:IMG 6260-Chris.JPG|Chris Stoeckert keynote presentation, Day 2]]
[[File:IMG_6274-Lindsay.JPG|thumb|150px|left|link=http://ncorwiki.buffalo.edu/index.php/File:IMG_6274-Lindsay.JPG|Linsday Cowell presentation, Day 2]]
[[File:IMG_6301-Barry.JPG|thumb|150px|left|http://ncorwiki.buffalo.edu/index.php/File:IMG_6301-Barry.JPG|Barry Smith talking, Day 2]]
[[File:IMG_6279-ULAM3.JPG|thumb|150px|left|link=http://ncorwiki.buffalo.edu/index.php/File:IMG_6279-ULAM3.JPG|UM-ULAM organizers: Veronica Rieberger, Oliver He, Teresa FracalaDinner, Day 2]]
[[File:IMG_6257-dinner.JPG|thumb|150px|left|link=http://ncorwiki.buffalo.edu/index.php/File:IMG_6257-dinner.JPG|Dinner at Day 1]]
[[File:IMG_6253-dinner.JPG|thumb|150px|left|link=http://ncorwiki.buffalo.edu/index.php/File:IMG_6253-dinner.JPG|Dinner at Day 1]]
[[File:IMG_6284-lunch.JPG|thumb|150px|left|link=http://ncorwiki.buffalo.edu/index.php/File:IMG_6284-lunch.JPG|Lunch time, Day 2]]

Latest revision as of 20:20, 26 January 2019

Sixth Annual Workshop of the Clinical and Translational Science Ontology Group

Announcement

The Clinical and Translational Science Ontology Group (CTSOG) invites you to join us this October 25-26, 2017 in Ann Arbor, Michigan to discuss the state of the art in ontologies and terminologies towards standardized data and metadata and data integration in various areas of clinical and translational microbiology. Example areas of discussion include microbiomes, host-microbiome interactions, microbial pathogens (e.g., bacteria, viruses, and parasites), infectious diseases, host immunity, vaccines and drugs treating infectious diseases, and vaccine and drug adverse events and safety. We will focus on how ontologies can be developed and used to support clinical and translational microbiology data recording, standardization, and analysis.

We are happy to announce two keynote speakers:

  • Dr. Richard Scheuermann (J. Craig Venter Institute)
  • Dr. Chris Stoeckert (UPenn)

This workshop will include four sessions.

  • Session I. Microbiomes and Host-Microbiome Interactions organized by Oliver He
  • Session II: CTSO Breaking Topics: Informatics Metrics organized by Amanda Hicks and Bill Hogan
  • Session III. Infectious Disease Ontology (IDO) and related ontologies and topics organized by Lindsay Cowell
  • Session IV: Sharing Clinical Microbiology Data Across the CTSA Consortium organized by Bill Hogan

Clinical laboratory data are a routine feature in research data repositories and their associated query mechanisms such as i2b2. However, the inclusion of microbiology data from the clinical laboratory are much less frequently present. Issues include which ontologies to use to identify micro-organisms, sensitivity tests, sensitivity test results, and the microbiology tests performed. Also, linking "bugs to drugs" (identified micro-organisms to their sensitivity tests/results) is often quite complicated to do accurately and reliably. This session will explore these and other issues, with an eye towards optimal modeling of clinical microbiology data for translational research.

MICHR has also generated an announcement website for our workshop: https://microbiologyctsa17.splashthat.com/


Organizers

Workshop Co-organizers:

Yongqun “Oliver” He (University of Michigan Medical School, Ann Arbor, MI), yongqunh@med.umich.edu

Amanda Hicks (University of Florida College of Medicine, Gainesville, FL), aehicks@ufl.edu

CTSOG Co-chairs:

Bill Hogan (University of Florida College of Medicine, Gainesville, FL), hoganwr@ufl.edu

Barry Smith (University at Buffalo, Buffalo, NY), phismith@buffalo.edu

MICHR organizer:

Jamie Racklyeft, Communication Director, MICHR, jracklye@med.umich.edu

ULAM organizers:

Veronica Rieberger, Administrative Specialist, vrieberg@med.umich.edu

Teresa Fracala, Executive Assistant to Department Chair, ULAM, University of Michigan Medical School, fracalat@med.umich.edu

Sponsors

  • The Michigan Institute for Clinical & Health Research (MICHR), a University of Michigan institute and CTSA hub supported by the National Center for Advancing Translational Sciences at the National Institutes of Health.

We are grateful also to the MICHR and Dr. George Mashour (MICHR director) for sponsoring $3,000 for supporting two keynote speakers' attendance at the meeting.

MICHR
  • The Unit for Laboratory Animal Medicine (ULAM) at the University of Michigan Medical School, We are also grateful to Dr. Bob Dysko, the previous ULAM director in the University of Michigan Medical School, for his generous support of $4000 for catering and junior scholars attending the workshop (See more information below).

Date

October 25 (Wednesday) - 26 (Thursday), 2017

Venue

Henderson Room at the Michigan League, University of Michigan, Ann Arbor, MI.

Address: 3rd floor, Michigan League, 911 N. University, Ann Arbor, MI 48109-1265 Google map

Michigan League

Schedule Day 1: October 25

Wednesday Morning

8:00am: Registration and Breakfast

8:45am: Welcoming remarks, by Oliver He Slides, Barry Smith, Kanchan Lota (MICHR managing director) Slides

Session I: Microbiomes and Host-Microbiome Interactions

Session coordinator: Oliver He

9:00am: OMP: The ontology for microbial phenotypes - Deborah A. Siegele / Jim Hu Slides

9:20am: The MicrO ontology; enabling the acquisition of higher-order knowledge of phenotypes from prokaryotic taxonomic descriptions and the construction of very large character matrices - Carrine E. Blank Slides

9:40am: MEOWL: Microbial Environments described using OWL - Ramona L. Walls Slides

10:00-10:30am: Break

10:30-11:45 am: Development and applications of the Ontology of Host-Microbiome Interactions (OHMI).

This section includes the following talks:

10:30-11:00 am: Brief OHMI introduction and OHMI representation of rheumatism-associated host-microbiome interactions - Oliver He Slides

11:00-11:15 am: Ontology of Host-Microbiome Interactions use case at UPenn - Jie Zheng Slides

11:15-11:30 am: Ontology of Host-Microbiome Interactions use case at MUSC - Jihad Obeid / Alexander Alekseyenko Slides

11:30-11:45 noon: Ontology of Host-Microbiome Interactions use case at Duke - Anna Maria MasciSlides

11:45-12:15: Discussion on the morning session topics

12:15: Lunch


Wednesday Afternoon

Session II: CTSO Breaking Topics: Informatics Metrics

Session coordinator: Amanda Hicks

1:00pm: Ontological Representation of Software to Make it FAIR - Bill Hogan

1:30pm: FAIR principles and the Immune Epitope Database (IEDB) - James Overton Slides

2:00pm: Using cyberinfrastructure to make life sciences data FAIR: lessons learned - Ramona Walls Slides

2:30pm: Measuring Interannotator Agreement in the Florida Annotated Corpus for Translational Science - The difficult ontological task - Amanda Hicks Slides


3:00pm: Break

3:30pm: Discussion

4:15pm: Keynote address 2: Identification and representation of cellular biomarkers using high-content single cell cytometry and sequencing technologies Dr. Richard Scheuermann (J. Craig Venter Institute)

Richard Scheuermann

Abstract: A fundamental characteristic of multicellular organisms is the specialization of functional cell types through the process of differentiation. These specialized cell types not only characterize the normal functioning of different organs and tissues, they can also be used as cellular biomarkers of a variety of different disease states and vaccine responses. In order to serve as a reference for cell type representation, the Cell Ontology has been developed to provide a standard nomenclature of defined cell types for comparative analysis and biomarker discovery. Historically, these cell types have been defined based on unique cellular shapes and structures, anatomic locations, and marker protein expression. However, we are now experiencing a revolution in cellular characterization resulting for the application of new high-throughput, high-content cytometry and sequencing technologies. The resulting explosion in the number of distinct cell types being identified is challenging the current paradigm for cell type definition in the Cell Ontology. In this presentation, we will present examples of state-of-the-art cellular biomarker characterization using high-content mass cytometry and single cell RNA sequencing, and discuss strategies for standardized cell type representations based on the data outputs from these cutting-edge technologies.

           Richard Scheuermann, Ph.D., is the Director of the La Jolla Campus at the J. Craig Venter Institute (JCVI) and an Adjunct Professor of Pathology at U.C. San Diego. Dr. Scheuermann has applied his deep knowledge of molecular immunology and infectious disease to the development of novel computational data mining methods and knowledge representation approaches, including the development of biomedical ontologies and their use in data mining, and the development of novel methods for gene expression, protein network, flow cytometry, and comparative genomics data analysis. These computational methods have been made available through several public database and analysis resources, including the Influenza Research Database (IRD; https://www.fludb.org), the Virus Pathogen Resource (ViPR; https://www.viprbrc.org) and the Immunology Database and Analysis Portal (ImmPort; https://immport.niaid.nih.gov/) supported by the U.S. National Institutes of Health.

6:30pm: Dinner (Note: A nice Ann Arbor restaurant will be reserved for those who wish to join. The cost of dinner is not included in the workshop.)

Schedule Day 2: October 26

Thursday Morning

8:00am: Registration and Breakfast

8:20am: Remarks from Dr. Bob Dysko (University of Michigan)

8:30am: Keynote address 2: Ontology support of clinical, epidemiological, and microbiome data exploration - Dr. Chris Stoeckert (UPenn) Slides

Chris Stoeckert

Abstract: The challenge of working with Big Data is not only scale but in many situations, also the complexity of what the data is about. This is especially true of clinical and epidemiological data where data is obtained for critical variables but often in an ad hoc and inconsistent manner. Critical understanding of how these variables impact health and host microbiome interactions requires analyses across different studies and data sources. Ontologies are key to meeting this challenge through providing semantic harmonization of common and specialized types of data; the realist process approach followed by ontologies in Open Biomedical Ontologies (OBO) Foundry (http://obofoundry.org/) provides a common understanding of what the data is about. We are using application ontologies based on OBO Foundry ontologies to encode our understanding of data dictionaries in multiple projects. The projects range from the epidemiology and transmission patterns of malaria to enteric pathogen influence on morbidity and mortality in young children. An additional challenge is to transform ontologic representations into user-friendly web interface terminologies for data exploration. MicrobiomeDB (http://microbiomedb.org/mbio/) provides a web-based data-mining platform for interrogating microbiome experiments and makes use of our ontology and web interface terminology approach. The real power of ontologies will come from instantiation of data in these ontologies and the ability to do inferencing and searches of such data. A goal of the TURBO (Transforming and Unifying Research with Biomedical Ontologies) project at Penn is to instantiate an OBO Foundry-based application ontology with clinical data to support research starting with finding patient cohorts and biobank specimens.

           Chris Stoeckert is a Research Professor of Genetics and faculty in the Institute of Biomedical Informatics at the University of Pennsylvania. He works on databases supporting the mining of complex datasets. Currently, he is co-investigator of the NIAID EuPath Bioinformatic Research Center supporting research on eukaryotic pathogens and a co-investigator of the NIA Genomics Alzheimers Disease Storage Site project supporting research of AD and related dementias. That and prior database work has gotten him involved in development of data standards such as MIAME (Minimal Information About a Microarray Experiment), MAGE-TAB format standard for reporting microarray experiments, and the development of biomedical ontologies such as the MGED Ontology. He is a core developer of the Ontology for Biomedical Investigations (OBI), leads the development of the Ontology for Biobanking (OBIB), and serves on the OBO Foundry Operations Committee and Editorial Working Groups. He is faculty director of the TURBO (Transforming & Unifying Research with Biomedical Ontologies) project at Penn aimed at semantic harmonization and integration of clinical data.

9:30-9:45am: Break

Session III: Infectious Disease Ontology (IDO) and related ontologies

Session coordinators: Lindsay Cowell, Barry Smith

9:45am: The Present State of the Infectious Disease Ontology - Lindsay CowellSlides, Barry Smith

10:30am: Break

10:45am: Infectious Disease Ontology Round Table - Lindsay Cowell, Barry Smith, Oliver HeSlides, Chris Stoeckert Slides , Richard Scheuermann

11:45am: The Antibody Ontology - Alex Diehl

12:15pm: Lunch

Thursday - Afternoon

Session IV: Sharing Clinical Microbiology Data Across the CTSA Consortium

Session coordinator: Bill Hogan

1:00pm: Microbiology Data in the Real World -- Examples and Thoughts from One Site - Gigi Lipori Slides

1:30pm: Tissue Collection and Data Management in the Microbiome Clinical Studies - Dominick Lemas

2:00pm: Working session: Building the Microbiome Ontology Barry Smith Slides

4:00pm: Close

Rationale

The CTSA Program has always emphasized the need for data standards to promote sharing and comparison of data across the CTSA Consortium and beyond. Yet creation and adoption of such standards is still painfully slow. Urgent action remains necessary. History shows the high value of standard terms, definitions, and symbols (i.e. ontology) to science. But the creation and adoption of such standards often takes decades. Translational science requires a consistent set of standard ontologies spanning all scales, from molecule to organism to population. In this year's meeting we focus on resources for describing data at the scale of micro-organisms.

Goals

The Clinical and Translational Science Ontology Group was established in 2012 to leverage the use of common ontologies to support different aspects of information-driven clinical and translational research. The focus of this meeting is to explore new and existing uses of common ontologies to support creation, sharing, and analysis of clinical data.

Like its predecessors in the series, this meeting is designed to bring together clinical and translational scientists from across the CTSA Consortium who are interested in using ontologies to promote discoverability and interoperability of biomedical data.

Persons interested in attending or in presenting at the meeting should write to [mailto:].

Travel Fund Application

We have secured $2000 as a travel fund, owing to Dr. Bob Dysko (the director of the Unit for Laboratory Animal Medicine in the University of Michigan Medical School), to support new investigators to attend the workshop.

If you are interested, please submit a short vita with a rationale for attendance to Dr. Oliver He at yongqunh@med.umich.edu by August 30, 2017. Decisions will be made August 31, 2017.

Eventually five travel awards were given to:(i) Amanda Hicks, U. of Florida, our workshop co-chair. (ii) Anna Maria Masci, Duke University; (iii) Jie Zheng, UPenn; (iv) William Duncan, University at Buffalo; and (v) Asiyah Yu Lin, FDA. Congratulations!

Participants

Alekseyenko, Alexander (The Medical University of South Carolina, Charleston, SC)

Blank, Carrine E. (Department of Geosciences, University of Montana, Missoula, MT)

Brochhausen, Mathias (University of Arkansas for Medical Sciences, Little Rock, AR)

Cascalho, Marilia I. (Department of Surgery, University of Michigan Medical School)

Cowell, Lindsay (UT Southwestern, Dallas, Texas)

Diehl, Alexander (University at Buffalo, Buffalo, NY)

Dipert, Randall (University at Buffalo, Buffalo, NY)

Duncan, Bill (Roswell Park, Buffalo NY)

Freddolino, Peter (Department of Biological Chemistry, University of Michigan Medical School)

Frederickson, Lynne (Taubman Health Sciences Library, University of Michigan, Ann Arbor, MI)

Gross, Colin (University of Michigan, Ann Arbor, MI)

Guo, Kai (University of Michigan, Ann Arbor, MI)

He, Yongqun (Oliver) (University of Michigan Medical School, Ann Arbor, MI)

Hicks, Amanda (Health Outcomes and Policy, University of Florida, Gainesville, FL)

Hogan, William (Bill) (Health Outcomes and Policy, University of Florida, Gainesville, FL)

Hu, Jim (Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX)

Huang, Yvonne J. (Division of Pulmonary & Critical Care Medicine, University of Michigan Health System, Ann Arbor, MI)

Hur, Junguk (Dept. of Biomedical Sciences, School of Medicine and Health Sciences, University of North Dakota)

Landis-Lewis, Zach (University of Michigan Medical School, Ann Arbor, MI)

Lemas, Dominick (Dept. of Health Outcomes and Policy, University of Florida)

Lin, Asiyah Yu (FDA, Silver Spring, MD)

Lipori, Gigi (UF Health, Gainesville, FL)

Manion, Frank (University of Michigan, Ann Arbor, MI)

Masci, Anna Maria (Duke University, Durham, NC)

Obeid, Jihad (The Medical University of South Carolina, Charleston, SC)

Ong, Edison (University of Michigan, Ann Arbor, MI)

Overton, James (Toronto, Ontario, Canada)

Scheuermann, Richard (J. Craig Venter Institute, La Jolla, CA)

Seekatz, Anna (Division of Infectious Diseases, University of Michigan Medical School)

Siegele, Deborah A (Dept. of Biology, Texas A&M University, College Station, TX)

Smith, Barry (National Center for Ontological Research, University at Buffalo, Buffalo, NY)

Smith, Sam (DataSmith LLC.)

Soergel, Dagobert (University at Buffalo)

Stoeckert, Chris (University of Pennsylvania Perelman School of Medicine, Philadelphia, PA)

Walls, Ramona L. (CyVerse, Tucson, Arizona)

Wang, Jiahao (University of Michigan, Ann Arbor, MI)

Wang, Haihe (University of Michigan, Ann Arbor, MI)

Wu, Jianfeng (School of Public Health, University of Michigan, Ann Arbor, MI)

Zhang, Wei (Section of General Surgery, University of Michigan Medical School, Ann Arbor, MI)

Zheng, Jie (University of Pennsylvania Perelman School of Medicine, Philadelphia, PA)


Pictures taken from the event

Attendees in the meeting room, Day 1
Attendees together, Day 2. Note: some attendees not in
Richard Scheuermann keynote presentation, Day 1
Chris Stoeckert keynote presentation, Day 2
Linsday Cowell presentation, Day 2
Barry Smith talking, Day 2
UM-ULAM organizers: Veronica Rieberger, Oliver He, Teresa FracalaDinner, Day 2
Dinner at Day 1
Dinner at Day 1
Lunch time, Day 2