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The personal genome browser: visualizing functions of genetic variants
Advances in high-throughput sequencing technologies have brought us into the individual genome era. Projects such as the 1000 Genomes Project have led the individual genome sequencing to become more and more popular. How to visualize, analyse and annotate individual genomes with knowledge bases to s...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086072/ https://www.ncbi.nlm.nih.gov/pubmed/24799434 http://dx.doi.org/10.1093/nar/gku361 |
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author | Juan, Liran Teng, Mingxiang Zang, Tianyi Hao, Yafeng Wang, Zhenxing Yan, Chengwu Liu, Yongzhuang Li, Jie Zhang, Tianjiao Wang, Yadong |
author_facet | Juan, Liran Teng, Mingxiang Zang, Tianyi Hao, Yafeng Wang, Zhenxing Yan, Chengwu Liu, Yongzhuang Li, Jie Zhang, Tianjiao Wang, Yadong |
author_sort | Juan, Liran |
collection | PubMed |
description | Advances in high-throughput sequencing technologies have brought us into the individual genome era. Projects such as the 1000 Genomes Project have led the individual genome sequencing to become more and more popular. How to visualize, analyse and annotate individual genomes with knowledge bases to support genome studies and personalized healthcare is still a big challenge. The Personal Genome Browser (PGB) is developed to provide comprehensive functional annotation and visualization for individual genomes based on the genetic–molecular–phenotypic model. Investigators can easily view individual genetic variants, such as single nucleotide variants (SNVs), INDELs and structural variations (SVs), as well as genomic features and phenotypes associated to the individual genetic variants. The PGB especially highlights potential functional variants using the PGB built-in method or SIFT/PolyPhen2 scores. Moreover, the functional risks of genes could be evaluated by scanning individual genetic variants on the whole genome, a chromosome, or a cytoband based on functional implications of the variants. Investigators can then navigate to high risk genes on the scanned individual genome. The PGB accepts Variant Call Format (VCF) and Genetic Variation Format (GVF) files as the input. The functional annotation of input individual genome variants can be visualized in real time by well-defined symbols and shapes. The PGB is available at http://www.pgbrowser.org/. |
format | Online Article Text |
id | pubmed-4086072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-40860722014-12-01 The personal genome browser: visualizing functions of genetic variants Juan, Liran Teng, Mingxiang Zang, Tianyi Hao, Yafeng Wang, Zhenxing Yan, Chengwu Liu, Yongzhuang Li, Jie Zhang, Tianjiao Wang, Yadong Nucleic Acids Res Article Advances in high-throughput sequencing technologies have brought us into the individual genome era. Projects such as the 1000 Genomes Project have led the individual genome sequencing to become more and more popular. How to visualize, analyse and annotate individual genomes with knowledge bases to support genome studies and personalized healthcare is still a big challenge. The Personal Genome Browser (PGB) is developed to provide comprehensive functional annotation and visualization for individual genomes based on the genetic–molecular–phenotypic model. Investigators can easily view individual genetic variants, such as single nucleotide variants (SNVs), INDELs and structural variations (SVs), as well as genomic features and phenotypes associated to the individual genetic variants. The PGB especially highlights potential functional variants using the PGB built-in method or SIFT/PolyPhen2 scores. Moreover, the functional risks of genes could be evaluated by scanning individual genetic variants on the whole genome, a chromosome, or a cytoband based on functional implications of the variants. Investigators can then navigate to high risk genes on the scanned individual genome. The PGB accepts Variant Call Format (VCF) and Genetic Variation Format (GVF) files as the input. The functional annotation of input individual genome variants can be visualized in real time by well-defined symbols and shapes. The PGB is available at http://www.pgbrowser.org/. Oxford University Press 2014-07-01 2014-05-05 /pmc/articles/PMC4086072/ /pubmed/24799434 http://dx.doi.org/10.1093/nar/gku361 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Article Juan, Liran Teng, Mingxiang Zang, Tianyi Hao, Yafeng Wang, Zhenxing Yan, Chengwu Liu, Yongzhuang Li, Jie Zhang, Tianjiao Wang, Yadong The personal genome browser: visualizing functions of genetic variants |
title | The personal genome browser: visualizing functions of genetic variants |
title_full | The personal genome browser: visualizing functions of genetic variants |
title_fullStr | The personal genome browser: visualizing functions of genetic variants |
title_full_unstemmed | The personal genome browser: visualizing functions of genetic variants |
title_short | The personal genome browser: visualizing functions of genetic variants |
title_sort | personal genome browser: visualizing functions of genetic variants |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086072/ https://www.ncbi.nlm.nih.gov/pubmed/24799434 http://dx.doi.org/10.1093/nar/gku361 |
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