NHS
Learning HubBeta

You have to be signed in to use this resource.

OpenAthens Log in

Forgotten username or password

Create new account

Home Pathology Portal Genetics and Genomics Advanced bioinformatics - from genomes to systems The different approaches to mapping and aligning sequence data
The different approaches to mapping and aligning sequence data
Pathology Portal

Applying mathematical modelling to biological problems in plant science

Not yet rated

This webinar will give an overview of the ways in which mathematical models, closely integrated with experimental data, can be used to give new insights into biological problems. We will discuss models for various biological processes and problems, at different spatial resolutions and timescales, from subcellular to whole plants. We will also describe the challenges in integrating models and experimental data, and suggest strategies for successful interdisciplinary collaborations.

Who is this course for?

This webinar is suitable for anyone interested in mathematical modelling of biological data and plant science.No prior knowledge of bioinformatics is required, but undergraduate level knowledge of biology would be useful.

This event is part of a webinar serieshighlighting the current concepts and analytical methods in plant sciences applicable to research, data management, and crop improvement.To explore other topics from this series and registration details follow this linkPlants: a data sciences perspective.

    Outcomes

    By the end of the webinar you will be able to:

    • Describe some of the different uses of mathematical models in plant science
    • Identify how mathematical models can be successfully integrated with biological data
    • Appreciate what models are useful for, and their limitations

    Resource details

    Contributed by: Pathology Portal
    Authored by: Mahesh Prahladan, Pathology Portal in collaboration with the European Bioinformatics Institute's (EMBL-EBI)., Consultant
    Licence: Creative commons: Attribution-NonCommercial 4.0 International More information on licences
    First contributed: 02 July 2023
    Audience access level: Full user

    Ratings

    0 ratings

    Not yet rated
    5 star
    0%
    4 star
    0%
    3 star
    0%
    2 star
    0%
    1 star
    0%
    Report an issue with this resource

    You may report a resource, for example, if there is an issue with copyright infringement, breach of personal data, factual inaccuracies, typing errors or safety concerns. The type of issue will determine whether the resource is immediately removed from the platform or if the contributor is asked to make amendments. You can report a resource from the resource information page or by contacting the Learning Hub support team.

    You can contact the Learning Hub support team by completing the support form or if you have a general enquiry you can email enquiries@learninghub.nhs.uk.