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ArkMAP: integrating genomic maps across species and data sources
BACKGROUND: The visualisation of genetic and genomic maps aligned within and between species and across data sources can be used to inform studies of genome evolution, assist genome assembly projects and aid gene discovery and identification. Whilst annotation, integration and exploration of assembl...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3751345/ https://www.ncbi.nlm.nih.gov/pubmed/23941167 http://dx.doi.org/10.1186/1471-2105-14-246 |
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author | Paterson, Trevor Law, Andy |
author_facet | Paterson, Trevor Law, Andy |
author_sort | Paterson, Trevor |
collection | PubMed |
description | BACKGROUND: The visualisation of genetic and genomic maps aligned within and between species and across data sources can be used to inform studies of genome evolution, assist genome assembly projects and aid gene discovery and identification. Whilst annotation, integration and exploration of assembled genome sequences is well supported, there are fewer tools available which can display genetic maps for less well-characterized species, and integrate these maps with annotated reference genomes to support cross species comparisons. RESULTS: We have developed a desktop application to draw and align genetic and genomic maps, retrieved from remote data sources or loaded as local files. Maps can be retrieved from our public map database ArkDB or from any Ensembl data source (i.e. Ensembl and Ensembl Genomes). By using the JEnsembl API, maps can be drawn for any release version of any of the thousands of species present in Ensembl data sources, allowing not only inter-specific comparisons, but also comparisons between different versions/revisions of assembled genomes. Maps can be aligned by relating identical or synonymous markers across maps, or through the gene homology/orthology relationship data stored in the Ensembl Compara databases, allowing ready visualization of regions of conserved synteny between species. The map drawing canvas is highly configurable, supports interactive exploration of maps, markers and relationships and allows export of publication quality graphics. CONCLUSIONS: ArkMAP allows users to draw and interactively explore gene and variation maps for any version of any annotated genome curated in the Ensembl data sources, and to integrate local mapping data. The maps and inter-map relationships drawn are highly configurable and ArkMAP may be used to produce publication quality graphics. ArkMAP is freely available as an auto-updating Java ‘Web Start’ application, or as a standalone archived application. |
format | Online Article Text |
id | pubmed-3751345 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-37513452013-08-24 ArkMAP: integrating genomic maps across species and data sources Paterson, Trevor Law, Andy BMC Bioinformatics Software BACKGROUND: The visualisation of genetic and genomic maps aligned within and between species and across data sources can be used to inform studies of genome evolution, assist genome assembly projects and aid gene discovery and identification. Whilst annotation, integration and exploration of assembled genome sequences is well supported, there are fewer tools available which can display genetic maps for less well-characterized species, and integrate these maps with annotated reference genomes to support cross species comparisons. RESULTS: We have developed a desktop application to draw and align genetic and genomic maps, retrieved from remote data sources or loaded as local files. Maps can be retrieved from our public map database ArkDB or from any Ensembl data source (i.e. Ensembl and Ensembl Genomes). By using the JEnsembl API, maps can be drawn for any release version of any of the thousands of species present in Ensembl data sources, allowing not only inter-specific comparisons, but also comparisons between different versions/revisions of assembled genomes. Maps can be aligned by relating identical or synonymous markers across maps, or through the gene homology/orthology relationship data stored in the Ensembl Compara databases, allowing ready visualization of regions of conserved synteny between species. The map drawing canvas is highly configurable, supports interactive exploration of maps, markers and relationships and allows export of publication quality graphics. CONCLUSIONS: ArkMAP allows users to draw and interactively explore gene and variation maps for any version of any annotated genome curated in the Ensembl data sources, and to integrate local mapping data. The maps and inter-map relationships drawn are highly configurable and ArkMAP may be used to produce publication quality graphics. ArkMAP is freely available as an auto-updating Java ‘Web Start’ application, or as a standalone archived application. BioMed Central 2013-08-13 /pmc/articles/PMC3751345/ /pubmed/23941167 http://dx.doi.org/10.1186/1471-2105-14-246 Text en Copyright © 2013 Paterson and Law; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Paterson, Trevor Law, Andy ArkMAP: integrating genomic maps across species and data sources |
title | ArkMAP: integrating genomic maps across species and data sources |
title_full | ArkMAP: integrating genomic maps across species and data sources |
title_fullStr | ArkMAP: integrating genomic maps across species and data sources |
title_full_unstemmed | ArkMAP: integrating genomic maps across species and data sources |
title_short | ArkMAP: integrating genomic maps across species and data sources |
title_sort | arkmap: integrating genomic maps across species and data sources |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3751345/ https://www.ncbi.nlm.nih.gov/pubmed/23941167 http://dx.doi.org/10.1186/1471-2105-14-246 |
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