دورية أكاديمية
AVIA 3.0: interactive portal for genomic variant and sample level analysis
| العنوان: | AVIA 3.0: interactive portal for genomic variant and sample level analysis |
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| المؤلفون: | Reardon, Hue V, Che, Anney, Luke, Brian T, Ravichandran, Sarangan, Collins, Jack R, Mudunuri, Uma S |
| المساهمون: | Robinson, Peter, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, U.S. Government |
| المصدر: | Bioinformatics ; volume 37, issue 16, page 2467-2469 ; ISSN 1367-4803 1367-4811 |
| بيانات النشر: | Oxford University Press (OUP) |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Computational Mathematics, Computational Theory and Mathematics, Computer Science Applications, Molecular Biology, Biochemistry, Statistics and Probability |
| الوصف: | Summary The Annotation, Visualization and Impact Analysis (AVIA) is a web application combining multiple features to annotate and visualize genomic variant data. Users can investigate functional significance of their genetic alterations across samples, genes and pathways. Version 3.0 of AVIA offers filtering options through interactive charts and by linking disease relevant data sources. Newly incorporated services include gene, variant and sample level reporting, literature and functional correlations among impacted genes, comparative analysis across samples and against data sources such as TCGA and ClinVar, and cohort building. Sample and data management is now feasible through the application, which allows greater flexibility with sharing, reannotating and organizing data. Most importantly, AVIA’s utility stems from its convenience for allowing users to upload and explore results without any a priori knowledge or the need to install, update and maintain software or databases. Together, these enhancements strengthen AVIA as a comprehensive, user-driven variant analysis portal. Availabilityand implementation AVIA is accessible online at https://avia-abcc.ncifcrf.govTest. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1093/bioinformatics/btaa994 |
| DOI: | 10.1093/bioinformatics/btaa994/35203771/btaa994.pdf |
| الإتاحة: | https://doi.org/10.1093/bioinformatics/btaa994Test https://academic.oup.com/bioinformatics/article-pdf/37/16/2467/50339411/btaa994.pdfTest |
| حقوق: | https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_modelTest |
| رقم الانضمام: | edsbas.C2E2091F |
| قاعدة البيانات: | BASE |
| DOI: | 10.1093/bioinformatics/btaa994 |
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