Workshop "Recent Computational Advances in Metagenomics (RCAM)" 2017

Period: 
09/10/2017 - 10/10/2017

4th edition of the Workshop 

"Recent Computational Advances in Metagenomics (RCAM'17)"

October 9-10, 2017
Auditorium F. Jacob, Institut Pasteur, Paris, France.

OBJECTIVES
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This workshop aims at promoting discussions and collaborations between biologists (modelers),  computer scientists and applied-mathematicians involved in metagenomics and/or metatranscriptomics studies, either in the bioinformatics or statistical aspects of such analysis.
Metagenomics  studies  refer   to  analyses  based  on high-throughput sequencing  of environmental samples  and microbial ecosystems. Both marker-gene (16S, 18S, ITS,  ...)  and whole-genome strategies will be adressed to  cover a wide  array of question ranging  from quantifying the  microbial  diversity in  order  to  find  structuring factors to assessing the functional role of microbial communities.
The workshop will provide  an overview of the state-of-the-art methods currently used in metaomics including comparative metagenomics and metatranscriptomics.  At the  other end  of the  spectrum, case-studies with a strong methodological component will illustrate how and when these methods are useful and how they produce new biological knowledge. This includes studies that investigate the shortcomings of mature or novel methods (e.g. for clustering, inference of co-occurrence networks, detection of certain types of interaction between taxa, etc) in real life settings. 

SCOPE
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The program of this workshop will consist mainly of presentations of refereed papers (30 minutes) and  invited talks (50 minutes). A poster session will be also organized. Contributions are welcomed on all aspects  about bioinformatics and statistical analyses of metaomics datasets, including, but not limited to:

  • new methods, tools or pipelines involved in the characterisation of microbial diversity,
  • original methods for taxonomical assignment,
  • Metagenomics/metatranscriptomics assembly,
  • data reduction,
  • comparative metaomics,
  • models for community assembly,
  • inference of co-occurrence/abundance patterns,
  • challenges for tackling the complexity of metaomics datasets.

Note that this workshop focuses mainly on methodological aspects of metagenomics and is not dedicated to bioanalyse result presentations.

KEYNOTES
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  • Nicola Segata (Centre for Integrative Biology, University of Trento, Italy): TBA
  • Vanessa Jurtz (Department for Bio and Health Informatics, Technical University of Denmark): "Identifying bacteriophage sequences in metagenomic sample"
  • Léa Siegwald (Institut Pasteur/CRIStAL, Lille) and Ségolène Caboche (Université de Lille/Institut Pasteur de Lille, France): "Analytical biases in targeted metagenomics studies"

SUBMISSION
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Please send the abstract to rcam@jouy.inra.fr and specify if it is for a contributed talk or a poster.

All submitted abstracts will be peer-reviewed by the program committee. Submitted abstracts should not exceed 2 pages including bibliography. Abstracts must be written and presented in English. They may describe work that has already been published or that is simultaneously submitted to a journal, conference, or workshop with reefreed proceedings.

REGISTRATION
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There is no registration fee to attend the RCAM worskhop but for security reason and room capacity, the registration is mandatory. For this, fill this registration form. Registration will close on October 2, 2017.

 

IMPORTANT DATES
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Submission Deadline : August 30, 2017
Notification: September 9, 2017
Registration deadline : October 2, 2017
Workshop Date: October 9-10, 2017

ORGANIZERS
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Valentin Loux, INRA/MaIAGE, Jouy-en-Josas, France
Mahendra Mariadassou, INRA/MaIAGE, Jouy-en-Josas, France
Pierre Peterlongo, Inria/IRISA, Rennes, France
Eduardo Rocha, Institut Pasteur, Paris, France
Sophie Schbath, INRA/MaIAGE, Jouy-en-Josas, France

SPONSOR
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The workshop is supported by the metaprogramme "Microbial Ecosystems and Metaomics (MEM)" from the French National Institute for Agricultural Research (INRA), by the "GdR Molecular Bioinformatics (GdR BiM)" and by the "Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI)" from Institut Pasteur.