Docker Advanced Course
26 - 27 September 2018
Milano, ItalyDocker Advanced Course https://elixir-iib-training.github.io/website/2018/09/26/Docker_Milano_Bicocca.html https://tess.elixir-europe.org/events/docker-advanced-course Docker is used to run “containers” that are essentially lightweight virtual machines. Containers are isolated from each other and use their own set of tools and libraries; they can communicate through well-defined channels. This allows to easily deploy programs since all requisites of a program are stored inside the containers. This course will provide the basic notions and tool to allow a developer to “dockerize” her programs, and to manage a set of containers, hence greatly improving the installation process. 2018-09-26 09:00:00 UTC 2018-09-27 18:00:00 UTC Gianluca Della Vedova (Department of Computer Science, University of Milano-Bicocca, IT), Loredana Le Pera (ELIXIR-IIB Training Coordinator Deputy, IBIOM-CNR, IT), Allegra Via (ELIXIR-IIB Training Coordinator, IBPM-CNR, IT) Via Bicocca degli Arcimboldi, 8, Lab. 715, U7 Building, Milano, Italy Via Bicocca degli Arcimboldi, 8, Lab. 715, U7 Building Milano Città Metropolitana di Milano Italy 20126 Computer science Bioinformatics University of Milano-Bicocca, Italy email@example.com  DevelopersDevOps in any field 20 workshops_and_courses first_come_first_servedregistration_of_interest DockerContainersVirtual machine
Workshop on Research Objects (RO2018)
29 October 2018
Amsterdam, NetherlandsWorkshop on Research Objects (RO2018) http://www.researchobject.org/ro2018/ https://tess.elixir-europe.org/events/workshop-on-research-objects-ro2018 In this workshop we will explore recent advancements in Research Objects and publishing of research data. **Deadlines**: * 2018-07-01 Abstracts due * 2018-07-15 Research articles and software/data articles due A travel bursary is available for accepted speakers, sponsored by [BioExcel](http://bioexcel.eu) (H2020-675728) ## Research Objects Scholarly Communication has evolved significantly in recent years, with an increasing focus on **Open Research**, [FAIR](https://doi.org/10.1038/sdata.2016.18)data sharing and community-developed open source methods. A question remains on how to publish, archive and explore digital research outputs. A number of initiatives have begun to explore how to package and describe research outputs, data, methods, workflows, provenance and structured metadata, reusing existing Web standards and formats. Such efforts aim to address the challenges of structuring multi-part research outcomes with their context, handling distributed and living content and porting and safely exchange what we collectively can call **Research Objects** between platforms and between researchers. In the workshop **RO2018**, part of [IEEE eScience 2018](https://www.escience2018.com) in Amsterdam, we will explore recent advancements in Research Objects and publishing of research data with peer-reviewed presentations, invited talks, short demos, lightning talks and break-out sessions to further build relationships across scientific domains and RO practitioners. ## Call for Papers RO2018 welcomes submissions of academic abstracts (1-2 pages), data/software articles (3-6 pages) and short research articles (4-8 pages) on cross-cutting case studies or specific research on topics including, but not limited to: FAIR metrics; platforms, infrastructure and tools; lifecycles; access control and secure exchange; examples of exploitation and application; executable containers; metadata, packaging and formats; credit, attribution and peer review; dealing with scale and distribution; driving adoption within current scholarly communications and alignments with community efforts; and domain-specific and cross-domain Research Objects. Further details on submitting: [http://www.researchobject.org/ro2018/submitting-to-ro2018/](http://www.researchobject.org/ro2018/submitting-to-ro2018/) ## Timeline 2018-07-01 Abstracts due 2018-07-15 Research articles and software/data articles due 2018-08-31 Notification of acceptance 2018-08-31 IEEE eScience 2018 early-bird registration deadline 2018-10-29 RO2018 workshop at IEEE eScience 2018 2018-10-29 09:00:00 UTC 2018-10-29 17:00:00 UTC The University of Manchester, researchobject.org, IEEE Mövenpick Hotel Amsterdam City Centre, 11, Piet Heinkade, Amsterdam, Netherlands Mövenpick Hotel Amsterdam City Centre, 11, Piet Heinkade Amsterdam Amsterdam Netherlands Workflows Software engineering Ontology and terminology Informatics Data submission, annotation and curation Data identity and mapping Data integration and warehousing Data architecture, analysis and design Data management Computer science  For any questions, email the Workshop Organizers at firstname.lastname@example.org BioExcel  workshops_and_courses  digital archivesdata repositorylinked dataWorkflows
Docker and Reproducibility
13 - 14 June 2019
Torino, ItalyDocker and Reproducibility https://elixir-iib-training.github.io/website/2019/06/13/Docker-and-Reproducibility_Turin.html https://tess.elixir-europe.org/events/docker-and-reproducibility Docker is a container framework for Linux that allows a developer to make easier the creation, deployment and execution of applications by using containers. During the workshop the participant will learn the core concepts of Docker and how to easily embed bioinformatic pipelines/workflows into a docker container. By the end of this course, the participants will learn: - the basic concepts of Docker; - to assess the advantages of a containerized software development & deployment; - to use Docker engine features necessary for running containerized applications; - how to use the Docker File and Docker Hub to create a Docker image; - the various networking mechanisms available in Docker. 2019-06-13 09:00:00 UTC 2019-06-14 18:00:00 UTC ELIXIR-IIB, CNR, University of Turin University of Turin, Molecular Biotechnology Center, Torino, Italy University of Turin, Molecular Biotechnology Center Torino Città Metropolitana di Torino Italy 10126 Bioinformatics Computer science University of Turin email@example.com  bioinformaticiansBiologists, Genomicists, Computer ScientistsPhD and graduate students, young researchers and PIs in the life science and computational biology field 15 workshops_and_courses first_come_first_served DockerContainersReproducibilitycomputer-science
Advances in Computational Biology Conference 2019
28 - 29 November 2019
Barcelona, SpainAdvances in Computational Biology Conference 2019 https://www.iscb.org/advcompbio2019 https://tess.elixir-europe.org/events/advances-in-computational-biology-conference-2019 The first **Advances in Computational Biology conference – _Fostering collaboration among women scientists_** will bring together researchers working on systems biology, omics technologies, artificial intelligence and high-performance computing with applications to biology from both the public and private sectors. One of the main purposes of the conference is to **visualize and promote the research done by women scientists** and for this reason, all presenters will be women, although the conference is open to everyone. We want to create a space to foster collaborations between scientists, providing an excellent opportunity to share ideas and build research networks. Topics included: - **Learning from Biological Sequences**: population genomics, evolutionary genomics, systems biology, transcriptomics, sequence analysis - **When Computational Biology meets Medicine**: biomedical applications, mutational landscapes, clinical genomics - **Machines Speeding up Research**: high performance computing, machine learning in the life sciences, imaging data analysis, dynamic simulations and algorithm development Key dates: - Open registration: May 6th, 2019 - Abstract submission opens: May 6th, 2019 - **Abstract submission deadline: July 1st, 2019** - Early bird registration deadline: September 15th, 2019 - Registration deadline: November 1st, 2019 - AdvCompBio Conference: November 28th - 29th, 2019 The programme will include poster and oral presentations, as well as keynotes from leading scientists in the computational biology and high-performance computing fields. The keynote speakers of the conference are: **Christine Orengo**, group leader of Orengo Group at University College London, **Natasa Przulj**, group leader of the Life Sciences – Integrative Computational Network Biology at the Barcelona Supercomputing Center and **Marie-Christine Sawley**, director of the Exascale Lab at Intel. The confirmed chairs of the conference are: **Alison Kennedy**, director of the STFC Hartree Centre, **Janet Kelso**, group leader of the Minerva Research Group for Bioinformatics at the Max Planck Institute for Evolutionary Anthropology, and **Nuria Lopez-Bigas**, leader of the Biomedical Genomics Research Group at the Institute for Research in Biomedicine Barcelona. Furthermore, the participants will have the opportunity to interact personally with female leaders in the fields of IT, academic research and politics that support the conference. The conference is organised by the Bioinfo4Women programme from the Barcelona Supercomputing Center (BSC-CNS) with the collaboration of IMIM-UPF Research Programme on Biomedical Informatics (GRIB), the Spanish National Bioinformatics Institute (INB/ELIXIR-ES) and the Universitat Politècnica de Catalunya (UPC). It is an affiliate conference of the International Society for Computational Biology (ISCB). 2019-11-28 09:00:00 UTC 2019-11-29 17:00:00 UTC La Pedrera, 92, Passeig de Gràcia, Barcelona, Spain La Pedrera, 92, Passeig de Gràcia Barcelona Barcelona Spain Imaging Machine learning Computational biology Computer science Biomedical science Sequence analysis Transcriptomics Evolutionary biology Population genomics Omics Systems biology Bioinformatics   ResearchersPhD studentsPostdoctoral studentsComputer scienceComputational biologistsbioinformaticians meetings_and_conferences  HPCBioinformaticsComputational BiologyArtificial IntelligenceGenomicsTranscriptomicsSystems biologyPopulation GenomicsEvolutinary genomicsSequence Analysisbiomedical applicationsmutational landscapesclinical genomicsImagingdynamic simulationsalgorithmsmachine learning
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