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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....

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Detalles Bibliográficos
Autores principales: Wang, Lichang, Fang, Yong, Aref, Dima, Rathi, Suyash, Shen, Li, Jiang, Xiaoqian, Wang, Shuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5001758/
https://www.ncbi.nlm.nih.gov/pubmed/27570674
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author Wang, Lichang
Fang, Yong
Aref, Dima
Rathi, Suyash
Shen, Li
Jiang, Xiaoqian
Wang, Shuang
author_facet Wang, Lichang
Fang, Yong
Aref, Dima
Rathi, Suyash
Shen, Li
Jiang, Xiaoqian
Wang, Shuang
author_sort Wang, Lichang
collection PubMed
description 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 (http://pgp.ucsd-dbmi.org:3838/GenAnaly/PatientGen/#) and the demo videos are available at (https://youtu.be/ycP0rXQizlc)
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spelling pubmed-50017582016-08-26 PALME: PAtients Like My gEnome Wang, Lichang Fang, Yong Aref, Dima Rathi, Suyash Shen, Li Jiang, Xiaoqian Wang, Shuang AMIA Jt Summits Transl Sci Proc Articles 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 (http://pgp.ucsd-dbmi.org:3838/GenAnaly/PatientGen/#) and the demo videos are available at (https://youtu.be/ycP0rXQizlc) American Medical Informatics Association 2016-07-20 /pmc/articles/PMC5001758/ /pubmed/27570674 Text en ©2016 AMIA - All rights reserved. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose
spellingShingle Articles
Wang, Lichang
Fang, Yong
Aref, Dima
Rathi, Suyash
Shen, Li
Jiang, Xiaoqian
Wang, Shuang
PALME: PAtients Like My gEnome
title PALME: PAtients Like My gEnome
title_full PALME: PAtients Like My gEnome
title_fullStr PALME: PAtients Like My gEnome
title_full_unstemmed PALME: PAtients Like My gEnome
title_short PALME: PAtients Like My gEnome
title_sort palme: patients like my genome
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5001758/
https://www.ncbi.nlm.nih.gov/pubmed/27570674
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