January 10, 2020

New open-source software judges accuracy of algorithms that predict tumour evolution

Adriana Salcedo
Adriana Salcedo

OICR-led international research group develops new open-source software to determine the accuracy of computational methods that can map the genetic history of tumour cells.

A cancer patient’s tumour is often made up of many cells with different genetic traits that can evolve over time. Interest in tumour evolution has grown over the last decade, giving rise to several new computational tools and algorithms that can characterize genetic diversity within a tumour, and infer patterns in how tumours evolve. However, to date there has been no standard way to compare these tools and determine which are most accurate at deciphering these data.

The genetic differences between tumour cells can tell us a lot about a patient’s disease and how it evolves over time – Adriana Salcedo

In a study recently published in Nature Biotechnology, an OICR-led international research group released new open-source software that can be used to judge the accuracy of these novel algorithms.

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June 14, 2016

Extreme Streams: The What, How and Why of Observables

Observables are great for building UIs and RxJS is an amazing implementation of them. Despite the library’s awesome power, it’s relatively underutilized mostly due to it being “hard”. This talk gives a high level overview of “what” observables are, “how” you use them, and “why” they are useful, through a basic implementation and a real world example (searching reddit for cute animals).