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Biological Database of Images and Genomes: tools for community annotations linking image and genomic information
Genomic data and biomedical imaging data are undergoing exponential growth. However, our understanding of the phenotype–genotype connection linking the two types of data is lagging behind. While there are many types of software that enable the manipulation and analysis of image data and genomic data...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3708683/ https://www.ncbi.nlm.nih.gov/pubmed/23550062 http://dx.doi.org/10.1093/database/bat016 |
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author | Oberlin, Andrew T Jurkovic, Dominika A Balish, Mitchell F Friedberg, Iddo |
author_facet | Oberlin, Andrew T Jurkovic, Dominika A Balish, Mitchell F Friedberg, Iddo |
author_sort | Oberlin, Andrew T |
collection | PubMed |
description | Genomic data and biomedical imaging data are undergoing exponential growth. However, our understanding of the phenotype–genotype connection linking the two types of data is lagging behind. While there are many types of software that enable the manipulation and analysis of image data and genomic data as separate entities, there is no framework established for linking the two. We present a generic set of software tools, BioDIG, that allows linking of image data to genomic data. BioDIG tools can be applied to a wide range of research problems that require linking images to genomes. BioDIG features the following: rapid construction of web-based workbenches, community-based annotation, user management and web services. By using BioDIG to create websites, researchers and curators can rapidly annotate a large number of images with genomic information. Here we present the BioDIG software tools that include an image module, a genome module and a user management module. We also introduce a BioDIG-based website, MyDIG, which is being used to annotate images of mycoplasmas. Database URL: BioDIG website: http://biodig.org BioDIG source code repository: http://github.com/FriedbergLab/BioDIG The MyDIG database: http://mydig.biodig.org/ |
format | Online Article Text |
id | pubmed-3708683 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-37086832013-07-11 Biological Database of Images and Genomes: tools for community annotations linking image and genomic information Oberlin, Andrew T Jurkovic, Dominika A Balish, Mitchell F Friedberg, Iddo Database (Oxford) Original Article Genomic data and biomedical imaging data are undergoing exponential growth. However, our understanding of the phenotype–genotype connection linking the two types of data is lagging behind. While there are many types of software that enable the manipulation and analysis of image data and genomic data as separate entities, there is no framework established for linking the two. We present a generic set of software tools, BioDIG, that allows linking of image data to genomic data. BioDIG tools can be applied to a wide range of research problems that require linking images to genomes. BioDIG features the following: rapid construction of web-based workbenches, community-based annotation, user management and web services. By using BioDIG to create websites, researchers and curators can rapidly annotate a large number of images with genomic information. Here we present the BioDIG software tools that include an image module, a genome module and a user management module. We also introduce a BioDIG-based website, MyDIG, which is being used to annotate images of mycoplasmas. Database URL: BioDIG website: http://biodig.org BioDIG source code repository: http://github.com/FriedbergLab/BioDIG The MyDIG database: http://mydig.biodig.org/ Oxford University Press 2013-04-02 /pmc/articles/PMC3708683/ /pubmed/23550062 http://dx.doi.org/10.1093/database/bat016 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Oberlin, Andrew T Jurkovic, Dominika A Balish, Mitchell F Friedberg, Iddo Biological Database of Images and Genomes: tools for community annotations linking image and genomic information |
title | Biological Database of Images and Genomes: tools for community annotations linking image and genomic information |
title_full | Biological Database of Images and Genomes: tools for community annotations linking image and genomic information |
title_fullStr | Biological Database of Images and Genomes: tools for community annotations linking image and genomic information |
title_full_unstemmed | Biological Database of Images and Genomes: tools for community annotations linking image and genomic information |
title_short | Biological Database of Images and Genomes: tools for community annotations linking image and genomic information |
title_sort | biological database of images and genomes: tools for community annotations linking image and genomic information |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3708683/ https://www.ncbi.nlm.nih.gov/pubmed/23550062 http://dx.doi.org/10.1093/database/bat016 |
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