The 2019 community meeting is hosted by the Clinical Bioinformatics Area, FPS, Hospital Virgen del Rocío.
We are glad to announce the 4th Disease Maps Community Meeting (DMCM2019) that will take place 2nd - 4th October in Hospital Virgen del Rocio, Sevilla, Spain.
The event is held on yearly basis and presents advances in our knowledge on the molecular mechanisms of diseases, in mathematical modelling for understanding their progression and in developing software for supporting maps and carrying out different types of analyses. The meeting includes not only presentations and posters but also software demos and discussions on hot topics in systems medicine. Please see, for example, the outcome of the Luxembourg meeting discussions recently published in Briefings in Bioinformatics.
Abstract submission deadline: 21st July 2019 (extended)
Decision on abstract selection: 15th August 2019
Registration deadline: 15th September 2019
DMCM2019: 2nd - 4th October 2019
|Inge Jonassen, PhD, University of Bergen. Norway
Dr. Jonassen is a Full Professor at the department of Informatics at the University of Bergen. He is also the head of the Computational Biology Unit at the same university and the head of the Norwegian Node of ELIXIR, the European infrastructure for bioinformatics. His research focuses on development and advanced application of methods for analysis of omics data and discovery of patterns in molecular biological data. He is associated with the CCBIO Centre for Cancer Biomarkers in Bergen and also with the NeuroSysMed research centre for clinical treatment in neurodegenerative diseases. More information: Jonassen Group.
|Julio Saez-Rodriguez, PhD, RWTH-Aachen University, Germany
Julio Saez-Rodriguez is Professor of Medical Bioinformatics and Data Analysis at the Faculty of Medicine of Heidelberg University. Julio is a member of the Disease Maps team and participates in the development of the Multiple Sclerosis Map. Julio's research interests are in computational methods and tools for studying information transfer within signalling networks, and applications to disease-related questions, with a focus on cancer and fibrosis. More information can be found at http://saezlab.org.
|Jonathan Karr, PhD, Icahn School of Medicine at Mount Sinai, USA
Jonathan Karr is a Fellow at the Icahn School of Medicine at Mount Sinai in New York. The goal of Jonathan's research group is to develop mechanistic whole-cell computational models that predict the behavior of individual cells by representing all of the biochemical activity in cells. Jonathan earned his PhD in Biophysics and his MS in Medicine from Stanford University and his SB in Physics and SB in Brain & Cognitive Sciences from MIT. See his research group's website for more information: https://www.karrlab.org.
|Sampsa Hautaniemi, PhD, University of Helsinki, Finland
Sampsa Hautaniemi is a Professor of Systems Biology and the Director of Systems Oncology research program at the Faculty of Medicine of the University of Helsinki. His research focuses on developing and applying machine learning methods to understanding and overcoming drug resistance in cancers. More information can be found at the Hautaniemi lab.
|09:00 Disease Maps Members/Coordinators Meeting|
10:30 Coffee Break
Joaquin Dopazo, Clinical Bioinformatics Area, FPS, Sevilla, Spain
|11:10 Opening Key Lecture 1 |
Analysis of multi-omics data to improve the understanding of Parkinson’s disease
Inge Jonassen, University of Bergen, Norway
|12:10 Short talks|
Towards automatic assembly and management of evolving disease models: modularisation, merging, layout, comparison and versioning
Alexander Mazein, University of Luxembourg, Luxembourg
Common disease mechanisms at play? A modelling challenge
Rudi Balling, University of Luxembourg, LCSB, Luxembourg
Disease map for aHUS – molecular mechanisms and hypotheses
Tatiana Serebriyskaya, RacursBioMed Ltd., Russia
A disease map and a database for cystic fibrosis
Catarina Pereira, University of Lisboa Faculty of Sciences, BioISI – Biosystems and Integrative Science Institute, Lisboa, Portugal
|14:00 Lunch and Poster viewing|
|15:30 Key Lecture 2 Toward whole-cell computational models for precision medicine|
Jonathan Karr, Icahn School of Medicine at Mount Sinai, New York, USA
|16:30 Short talks|
A multiscale modelling platform to simulate drug synergies in different cell population architectures.
Miguel Ponce de Leon, Barcelona Supercomputing Center, Barcelona, Spain
Executable Disease Maps – Addressing the challenges of large scale dynamical modelling
Anna Niarakis, GenHotel, University of Evry, Paris-Saclay, France
Generation of process diagrams for computational modelling: lessons from the classroom
Tom C. Freeman, The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Edinburgh, UK
|9:00 Key Lecture: |
Logic modelling to integrate disease maps and various omics data
Julio Saez-Rodriguez, RWTH-Aachen University Hospital, Aachen, Germany
|10:00 Highlighted talk |
Elixir Sponsor talk
10:30 Coffee break and poster viewing
|11:00 Selected short talks|
Atlas of Cancer Signaling Network: a resource of multi-scale biological maps to study disease mechanisms
Luis Cristobal Monraz Gomez, Institut Curie, France
Interactive visualization of phenotypic and genotypic information in disease maps for identification of mechanistic biomarkers
Sascha Herzinger, University of Luxembourg, Luxembourg Centre for Systems Biomedicine, Luxembourg
Reactome Pathway Analysis and Visualization
Henning Hermjakob, EMBL-EBI, United Kingdom
|12:30 Poster session |
13:30 Lunch and poster viewing
|15:30 Discussion topics|
Four discussion sessions (Topics to be determined)
|17:30 Presentation preparation and final discussion|
|18:30 Results presentation|
|20:30 Gala Dinner|
|09:00 Key Lecture 4|
Computational approaches to tackle chemoresistance in high-grade serous ovarian cancer
Sampsa Hautaniemi, Faculty of Medicine, University of Helsinki, Finland
|10:00 The DisGeNET platform’s 10 anniversary |
Developing a knowledge base for disease genomics
Janet Piñero, GRIB (IMIM-UPF), Spain
10:30 Coffee break
|11:00 Short talks|
Machine learning and mechanistic models for drug repositioning in rare diseases
Marina Esteban-Medina, Clinical Bioinformatics Area, FPS, Sevilla, Spain
Connecting metabolic biomarkers with biological pathways and clinical data to enable omics data interpretation
Denise N. Slenter, Maastricht University, Netherlands
Conciliation of medicine systems disease maps and other molecular interaction networks using logical properties of ontology
Vincent Henry, Inria/ICM, Paris, France
Different layout aware formats in systems biology used by Minerva platform
Piotr Gawron, University of Luxembourg, Luxembourg
13:00 Poster viewing
Tutorials of the following tools and resources
|14:30 BiNoM, ACSN|
(Depending on computers and rooms available, will be distributed in one or two parallel hands-on sessions)
17:00h Meeting closure
Please submit an abstract (up to 400 words) via the submission link for an oral presentation and/or a poster.
Abstract submission deadline: 21st July 2019 (extended).
The registration is free but mandatory. Please fill in the registration form.
Registration deadline: 15th September 2019.
Edificio de Gobierno, Hospital Universitario Virgen del Rocío
Avenida Manuel Siurot s/n, 41013 Seville, Spain
AC Hotel Ciudad de Sevilla, a Marriott Lifestyle Hotel
AV Manuel Siurot 25, 41013 Seville, Spain
Tel. +34 954 230 505
Silken Al-Andalus Palace
Avenida de la Palmera s/n, esq. C/ Paraná, 41012 Seville, Spain
Tel. +34 954 230 600
EXE Sevilla Palmera
Cardenal Ilundain, 28, 41013 Seville, Spain
Tel. +34 932 087 108
(5 minutes walk from the event)
Dr. Pedro de Castro, 1, 41004 Seville, Spain
Tel. +34 912 764 747
The Spanish National Bioinformatics Institute (INB) is the ISCIII Bioinformatics platform. Its Coordination Node is supported by grant PT17/0009/0001, of the Acción Estratégica en Salud 2013-2016 of the Programa Estatal de Investigación Orientada a los Retos de la Sociedad, funded by the Instituto de Salud Carlos III (ISCIII) and European Regional Development Fund (ERDF).