Virtual Pharmacist: A Platform for Pharmacogenomics.
We present Virtual Pharmacist, a web-based platform that takes common types of high-throughput data, namely microarray SNP genotyping data, FASTQ and Variant Call Format (VCF) files as inputs, and reports potential drug responses in terms of efficacy, dosage and toxicity at one glance. Batch submiss...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2015-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4619711?pdf=render |
| _version_ | 1811282534489653248 |
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| author | Ronghai Cheng Ross Ka-Kit Leung Yao Chen Yidan Pan Yin Tong Zhoufang Li Luwen Ning Xuefeng B Ling Jiankui He |
| author_facet | Ronghai Cheng Ross Ka-Kit Leung Yao Chen Yidan Pan Yin Tong Zhoufang Li Luwen Ning Xuefeng B Ling Jiankui He |
| author_sort | Ronghai Cheng |
| collection | DOAJ |
| description | We present Virtual Pharmacist, a web-based platform that takes common types of high-throughput data, namely microarray SNP genotyping data, FASTQ and Variant Call Format (VCF) files as inputs, and reports potential drug responses in terms of efficacy, dosage and toxicity at one glance. Batch submission facilitates multivariate analysis or data mining of targeted groups. Individual analysis consists of a report that is readily comprehensible to patients and practioners who have basic knowledge in pharmacology, a table that summarizes variants and potential affected drug response according to the US Food and Drug Administration pharmacogenomic biomarker labeled drug list and PharmGKB, and visualization of a gene-drug-target network. Group analysis provides the distribution of the variants and potential affected drug response of a target group, a sample-gene variant count table, and a sample-drug count table. Our analysis of genomes from the 1000 Genome Project underlines the potentially differential drug responses among different human populations. Even within the same population, the findings from Watson's genome highlight the importance of personalized medicine. Virtual Pharmacist can be accessed freely at http://www.sustc-genome.org.cn/vp or installed as a local web server. The codes and documentation are available at the GitHub repository (https://github.com/VirtualPharmacist/vp). Administrators can download the source codes to customize access settings for further development. |
| first_indexed | 2024-04-13T01:54:25Z |
| format | Article |
| id | doaj.art-d066d2280f3444509614f16e22b53f6e |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-13T01:54:25Z |
| publishDate | 2015-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-d066d2280f3444509614f16e22b53f6e2022-12-22T03:07:48ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-011010e014110510.1371/journal.pone.0141105Virtual Pharmacist: A Platform for Pharmacogenomics.Ronghai ChengRoss Ka-Kit LeungYao ChenYidan PanYin TongZhoufang LiLuwen NingXuefeng B LingJiankui HeWe present Virtual Pharmacist, a web-based platform that takes common types of high-throughput data, namely microarray SNP genotyping data, FASTQ and Variant Call Format (VCF) files as inputs, and reports potential drug responses in terms of efficacy, dosage and toxicity at one glance. Batch submission facilitates multivariate analysis or data mining of targeted groups. Individual analysis consists of a report that is readily comprehensible to patients and practioners who have basic knowledge in pharmacology, a table that summarizes variants and potential affected drug response according to the US Food and Drug Administration pharmacogenomic biomarker labeled drug list and PharmGKB, and visualization of a gene-drug-target network. Group analysis provides the distribution of the variants and potential affected drug response of a target group, a sample-gene variant count table, and a sample-drug count table. Our analysis of genomes from the 1000 Genome Project underlines the potentially differential drug responses among different human populations. Even within the same population, the findings from Watson's genome highlight the importance of personalized medicine. Virtual Pharmacist can be accessed freely at http://www.sustc-genome.org.cn/vp or installed as a local web server. The codes and documentation are available at the GitHub repository (https://github.com/VirtualPharmacist/vp). Administrators can download the source codes to customize access settings for further development.http://europepmc.org/articles/PMC4619711?pdf=render |
| spellingShingle | Ronghai Cheng Ross Ka-Kit Leung Yao Chen Yidan Pan Yin Tong Zhoufang Li Luwen Ning Xuefeng B Ling Jiankui He Virtual Pharmacist: A Platform for Pharmacogenomics. PLoS ONE |
| title | Virtual Pharmacist: A Platform for Pharmacogenomics. |
| title_full | Virtual Pharmacist: A Platform for Pharmacogenomics. |
| title_fullStr | Virtual Pharmacist: A Platform for Pharmacogenomics. |
| title_full_unstemmed | Virtual Pharmacist: A Platform for Pharmacogenomics. |
| title_short | Virtual Pharmacist: A Platform for Pharmacogenomics. |
| title_sort | virtual pharmacist a platform for pharmacogenomics |
| url | http://europepmc.org/articles/PMC4619711?pdf=render |
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