WEBINAR: MaveDB: discovery and interpretation of high-throughput functional assay data

This record includes training materials associated with the Australian BioCommons webinar ‘MaveDB: discovery and interpretation of high-throughput functional assay data’. This webinar took place on 26 March 2024.

Event description

Multiplexed assays of variant effect (MAVEs) are a family of experimental techniques that measure all single amino acid or single nucleotide changes in a gene or other functional element. MaveDB is an international community database that enables discovery and reuse of data from these experiments. It provides a platform for integrating large-scale measurements of sequence variant impact with applications that can be used to interpret the data for basic and clinical research.

In this webinar we consider: 

  • What are MAVEs and how are the experiments performed?

  • How much MAVE data is available in MaveDB and how is it organised?

  • Who can submit datasets to MaveDB?

  • What are some of the clinical applications for MAVEs and how is the data being used to understand patient variants?

 

Speaker: Dr Alan Rubin, Senior Research Officer, WEHI 

Host: Dr Melissa Burke, Australian BioCommons

 

Materials

Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.

Files and materials included in this record:

  • Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc.

  • Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file.

  • MAVEDB_slides: A PDF copy of the slides presented during the webinar.

Materials shared elsewhere:

A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/BXGQ2IuDnGE

 

DOI: 10.5281/zenodo.10929633

Licence: Creative Commons Attribution 4.0 International

Keywords: Bioinformatics, Genetic variation, Functional annotation, Clinical genetics

Status: Active

Authors: Rubin, Alan (orcid: 0000-0003-1474-605X)


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