YouTubeFacebookLinkedInTwitterinstagramrss

Technology and strategy for building multi-omics visualisation tools that can rapidly adapt to user needs


(​June 11, 2020) | Access Today


Sponsored by
Genestack

Preview:

 

Webinar Description:

Consider this scenario: you want to democratise access to omics data but find existing tools outdated, missing important datasets and relationships, and not addressing key questions. If this resonates with you, you’re not alone. This is now a common and pressing need, as multi-omics data grow rapidly in scale, complexity, and importance for life sciences R&D.

In this webinar, we will discuss issues with traditional technologies and approaches, and recommend more sustainable strategies based on:

  • Bioinformatician-friendly data/metadata management, search APIs, and visualisation framework
  • Service-oriented architecture and the Unix philosophy of building simple, modular, and extensible solutions

We will share examples around target identification and single-cell data exploration - how they can be built, customised and extended with flexibilities and minimal effort.

Learning Objectives:

  • Understand specific technologies and a framework for building more flexible and scalable multi-omics visualisations, democratizing access to the rapidly-growing and evolving omics datasets.
  • Understand how the recommended strategies lead to:
    • Saved time and improved satisfaction for non-technical researchers
    • Reduced support burden on the bioinformaticians
    • Better utilisation and collaboration of multi-omics data

Speaker:

Kevin DialdestoroKevin Dialdestoro

MPhil, Principal Consultant, Consulting Services

Genestack


Kevin leads the scientific and technical consulting team at Genestack. He has worked with leading pharma, biotech, and agriscience companies on diverse bioinformatics projects, as a consultant, a software engineer, and a data scientist. Before Genestack, Kevin conducted bioinformatics research on cancer systems biology at the CRUK Cambridge Institute, and on HIV evolution at Oxford. He was educated at Cambridge (MPhil, Computational Biology, Distinction) and Oxford (B.A., Mathematics, First Class).


Cost: No cost!

(​June 11, 2020) | Access Today