Workshop on Multi-Omics Data Integration for Modelling Biological Systems - in conjunction with ACM CIKM 2021
Location
Date
1 - 5 November 2021
Deadline
20/09/2021
General Chairs
Pierre Baldi; Marco Beccuti; Vincenzo Bonnici; Rosalba Giugno
Contact
MODIMO - CALL FOR PAPERS
Workshop on Multi-Omics Data Integration for Modelling Biological Systems
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in conjunction with ACM CIKM 2021 - 1-5 Nov 2021 - ONLINE
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https://sites.google.com/view/modimo
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IMPORTANT DATES
Full paper deadline 20 Sept 2021
Short paper deadline 20 Sept 2021
Paper Notification 1 Oct 2021
Camera-ready deadline 10 Oct 2021
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Multi-omics analysis aims at extracting previously uncovered biological knowledge by integrating information across multiple single-omic sources. Past approaches have focused on the simultaneous analysis of a small number of omic data sets. Current challenges face the problem of integrating multiple omic sources into a unified complex model, or of combining already available tools for two-by-two omics analyses and merging their outcomes. By doing so and leveraging integrated system-level knowledge, multi-omic approaches ought to enable the development of better qualitative and quantitative models for descriptive and predictive analyses. To move this area forward, new statistical and algorithmic frameworks are needed, for example for generalizing classical graph theory results to heterogeneous networks and applying them to diverse problems such as drug repurposing or understanding the immune response to infections. Thus, in short, this workshop aims at investigating novel methodologies for providing crucial insights into multi-omics data management, integration, and analysis to enable biological discoveries.
https://sites.google.com/view/modimo
The relevant topics include:
- mutli-omics data analysis
- multi-omics data integration
- system biology
- computational biology
- biological network construction and analysis
- biological knowledge graphs
- heterogeneous networks
- modeling of biochemical pathways and biological networks
- big bio- or clinical- data analytics
- Integration of structured and unstructured resources for biomedical applications
- mining multi-relational data
- information retrieval from large biomedical data collections
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SUBMISSION GUIDELINES
Authors are invited to submit original work in the form of short and full papers, describing research results that are unpublished and not under consideration for publication elsewhere.
Members of the Program Committee will review the submissions and select papers for poster or talk presentation at the conference based on their novelty, technical quality, potential impact, clarity, and reproducibility.
Accepted papers will be invited for presentation during the workshop. Presentation time and format (talk or poster) will be allocated based on the presented contribution.
Workshop papers will be included in a CIKM companion volume published by http://ceur-ws.org/. Papers must be formatted in CEUR style guidelines (http://ceur-ws.org/Vol-XXX/samplestyles/, two-column style, with page numbers) and be submitted via EasyChair ( https://easychair.org/conferences/?conf=modimo2021 ). The page limit is 9 pages for full papers and 4 pages for short papers, plus references. At least one of the authors of each accepted paper must register for the workshop and be available to present, in order for the paper to be included in the workshop proceedings.
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ORGANIZATION
Program Chairs and Co-Chairs
Pierre Baldi, University of California, Irvine, USA
Marco Beccuti, University of Turin, Italy
Vincenzo Bonnici, University of Verona, Italy
Rosalba Giugno, University of Verona, Italy
Program Committee
Patrick Aloy, Institute for Research in Biomedicine, Spain
Andrè Altman, University College London, UK
Martin Hemberg, Wellcome Sanger Institute, UK
Pietro Lio', University of Cambridge, UK
Stefano Lonardi, University of California, Riverside, USA
Sara Madeira, University of Lisbon, Portugal
Alberto Policriti, University of Udine, Italy
--------------------------------------------------------------------------------
Workshop on Multi-Omics Data Integration for Modelling Biological Systems
-
in conjunction with ACM CIKM 2021 - 1-5 Nov 2021 - ONLINE
--------------------------------------------------------------------------------
https://sites.google.com/view/modimo
--------------------------------------------------------------------------------
IMPORTANT DATES
Full paper deadline 20 Sept 2021
Short paper deadline 20 Sept 2021
Paper Notification 1 Oct 2021
Camera-ready deadline 10 Oct 2021
--------------------------------------------------------------------------------
Multi-omics analysis aims at extracting previously uncovered biological knowledge by integrating information across multiple single-omic sources. Past approaches have focused on the simultaneous analysis of a small number of omic data sets. Current challenges face the problem of integrating multiple omic sources into a unified complex model, or of combining already available tools for two-by-two omics analyses and merging their outcomes. By doing so and leveraging integrated system-level knowledge, multi-omic approaches ought to enable the development of better qualitative and quantitative models for descriptive and predictive analyses. To move this area forward, new statistical and algorithmic frameworks are needed, for example for generalizing classical graph theory results to heterogeneous networks and applying them to diverse problems such as drug repurposing or understanding the immune response to infections. Thus, in short, this workshop aims at investigating novel methodologies for providing crucial insights into multi-omics data management, integration, and analysis to enable biological discoveries.
https://sites.google.com/view/modimo
The relevant topics include:
- mutli-omics data analysis
- multi-omics data integration
- system biology
- computational biology
- biological network construction and analysis
- biological knowledge graphs
- heterogeneous networks
- modeling of biochemical pathways and biological networks
- big bio- or clinical- data analytics
- Integration of structured and unstructured resources for biomedical applications
- mining multi-relational data
- information retrieval from large biomedical data collections
--------------------------------------------------------------------------------
SUBMISSION GUIDELINES
Authors are invited to submit original work in the form of short and full papers, describing research results that are unpublished and not under consideration for publication elsewhere.
Members of the Program Committee will review the submissions and select papers for poster or talk presentation at the conference based on their novelty, technical quality, potential impact, clarity, and reproducibility.
Accepted papers will be invited for presentation during the workshop. Presentation time and format (talk or poster) will be allocated based on the presented contribution.
Workshop papers will be included in a CIKM companion volume published by http://ceur-ws.org/. Papers must be formatted in CEUR style guidelines (http://ceur-ws.org/Vol-XXX/samplestyles/, two-column style, with page numbers) and be submitted via EasyChair ( https://easychair.org/conferences/?conf=modimo2021 ). The page limit is 9 pages for full papers and 4 pages for short papers, plus references. At least one of the authors of each accepted paper must register for the workshop and be available to present, in order for the paper to be included in the workshop proceedings.
--------------------------------------------------------------------------------
ORGANIZATION
Program Chairs and Co-Chairs
Pierre Baldi, University of California, Irvine, USA
Marco Beccuti, University of Turin, Italy
Vincenzo Bonnici, University of Verona, Italy
Rosalba Giugno, University of Verona, Italy
Program Committee
Patrick Aloy, Institute for Research in Biomedicine, Spain
Andrè Altman, University College London, UK
Martin Hemberg, Wellcome Sanger Institute, UK
Pietro Lio', University of Cambridge, UK
Stefano Lonardi, University of California, Riverside, USA
Sara Madeira, University of Lisbon, Portugal
Alberto Policriti, University of Udine, Italy
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