Date: 26 March 2024 @ 13:00 - 14:00

Timezone: Melbourne

Duration: 1 hour

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:

  1. What are MAVEs and how are the experiments performed?
  2. How much MAVE data is available in MaveDB and how is it organised?
  3. Who can submit datasets to MaveDB?
  4. 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

Date/Time: Tuesday 26 March 2024, 1 - 2 pm AEDT/ 12 - 1 pm AEST / 12:30 - 1:30 pm ACDT / 10 - 11 am AWST

Who the webinar is for:

Anyone with an interest in high-throughput functional assays for research or clinical applications.

How to join:

This webinar is free to join but you must register for a place in advance.

A recording of this webinar will be shared on the Australian BioCommons YouTube channel

Contact: [email protected]

Keywords: Variant analysis, Genetic Variation, Genetic variants

City: Online

Country: Australia

Learning objectives:

By the end of this webinar you should be able to outline:

In this webinar we consider:

  1. What are MAVEs and how are the experiments performed?
  2. How much MAVE data is available in MaveDB and how is it organised?
  3. Who can submit datasets to MaveDB?
  4. What are some of the clinical applications for MAVEs and how is the data being used to understand patient variants?

Organizer: Australian BioCommons

Host institutions: Australian BioCommons

Eligibility:

  • First come first served

Capacity: 1000

Event types:

  • Workshops and courses

Cost basis: Free to all

Scientific topics: Genetic variation


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