Add like
Add dislike
Add to saved papers

PALME: PAtients Like My gEnome.

PAtients Like My gEnome (PALME) is a webservice that matches patients based on their genome and healthcare profiles. We support two types of inputs: (1) dual query (a variant + phenotype), and (2) genome sequences. For the first type of queries, we will show the patient profile matching the inputs. For the second type of queries, we will calculate similarity (based on Hamming distance) and show the distribution of phenotypes of similar patients given the input sequences of a target patient. Using the publicly available Personal Genome Project (PGP) dataset, we retrieved 4,360 patients' profiles along with their genome data, medical conditions, and treatments. We used a subset of these profiles to build PALME to be an interactive system to support healthcare profile matching. PALME is designed not only for biomedical researchers to support their studies on human genome but also for individuals to explore their own genetics and health. The webservice is accessible at (https://pgp.ucsd-dbmi.org:3838/GenAnaly/PatientGen/#) and the demo videos are available at (https://youtu.be/ycP0rXQizlc).

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app