Business Standard

Monday, December 23, 2024 | 04:35 AM ISTEN Hindi

Notification Icon
userprofile IconSearch

New computer programme can help develop precision medicine

Image

Press Trust of India Melbourne

Scientists have developed a new computer programme to find out a person's genetic makeup, an advance that brings precision medicine a step closer.

The programme, called Flye, provides a step-by-step procedure for computers to assemble genomes -- a person's complete set of genes -- and enables the process to be much faster and more accurate than current best-practice methods.

"The breakthrough would lead to better prevention, prediction and diagnosis of illnesses, as well as improved treatment, disease management and cures," Yu Lin, a researcher at Australian National University (ANU).

"We hope our innovation will help people to live longer and better -- particularly people suffering from diseases that are not currently treatable," said Lin.

 

"Precision medical care is advanced by personal genomics, which focuses on the unique genetic profile of individuals," he said.

By using long DNA sequences the new computer programme would improve the reliability of genome assemblies, as well as lead to a range of biomedical applications.

"Using long DNA sequences rather than short ones taken randomly from a genome -- a popular method used today -- opens the door to huge advances in accuracy, speed and usefulness for a range of medical purposes and other applications," Lin said.

"This will open up a range of biomedical applications such as enhanced screening for genetic disorders and personalised treatments for diseases that are incurable today," he said.

A long sequence ranges between 5,000 and 20,000 DNA letters, while short sequences are typically 200 letters.

The length of genes in a human genome vary from hundreds to hundreds of thousands of letters.

Lin said the cost of computing would likely start to dominate many sequencing projects, as the price of genome sequencing continues to drop.

"We need more efficient models and algorithms, like the one we've created, to keep computing costs as low as possible," he said.

Disclaimer: No Business Standard Journalist was involved in creation of this content

Don't miss the most important news and views of the day. Get them on our Telegram channel

First Published: May 20 2019 | 3:51 PM IST

Explore News