397
views
0
recommends
+1 Recommend
2 collections
    1
    shares
      scite_
       
      • Record: found
      • Abstract: found
      • Poster: found
      Is Open Access

      GreenBIM : Environmental impact of Bioinformatics

      poster
      Bookmark

            Abstract

            Climate change involves world wide challenges for nearly all aspects of life, including health, economy and science. The University of Rouen Normandy has been awarded the "Sustainable Development and Social Responsibility" label for its commitment to the ecological transition. In this context, the students of the Master’s Degree in Bioinformatics have questioned the environmental impact of their field of study. Actually, the impact of bioinformatic computations on global warming has generally been underappreciated despite the current climate crisis.

            Here we present the Bioinformatics Master students’ carbon consumption during their apprenticeship. Consumption data encompass the activities led in their bioinformatics domainsand their range of analysis.

            To address our question, we gathered all jobs carried out by the students for a month and determined their environmental impact using the Green Algorithms, as described in the top right poster frame. This is a reliable proxy, as it takes into account the main computational parameters - RAM, nodes, type of computing machine - and provides the estimated carbon footprintfor each computational task. We studied how these results break down through the bioinformatics domains under scrutiny.

            Content

            Author and article information

            Journal
            ScienceOpen Posters
            ScienceOpen
            26 January 2023
            Affiliations
            [1 ] Master’s Degree of Bioinformatics, Modeling and Statistics;
            [2 ] Supervisor, University of Rouen Normandy;
            Author notes
            Author information
            https://orcid.org/0000-0002-9223-0764
            https://orcid.org/0000-0002-9090-3267
            https://orcid.org/0000-0003-1073-6073
            https://orcid.org/0000-0001-7534-3102
            https://orcid.org/0000-0002-9261-7002
            https://orcid.org/0000-0001-7478-0757
            https://orcid.org/0000-0002-7228-7245
            https://orcid.org/0000-0003-0910-4351
            https://orcid.org/0000-0002-2211-5592
            https://orcid.org/0000-0003-1177-6202
            https://orcid.org/0000-0002-1245-7425
            https://orcid.org/0000-0002-1274-3544
            https://orcid.org/0000-0003-3156-9737
            Article
            10.14293/S2199-1006.1.SOR-.PPWHCXV.v1
            500aae9b-45df-4e2f-8cd2-34415c1c6bb4

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            History
            : 26 January 2023
            Categories

            The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
            Software engineering,General life sciences,Databases,Theoretical computer science,Data structures & Algorithms,Programming languages,Applied computer science,Bioinformatics & Computational biology,Biotechnology,General computer science
            Green algorithm,Sustainable goal,Climate action,Ecological transition,Environmental impact,Bioinformatic,Big data,Emissions,Energy consumption,Carbon footprint

            Comments

            Comment on this article