Cargando…

Integrated functional visualization of eukaryotic genomes

BACKGROUND: Increasing amounts of data from large scale whole genome analysis efforts demands convenient tools for manipulation, visualization and investigation. Whole genome plots offer an intuitive window to the analysis. We describe two applications that enable users to easily plot and explore wh...

Descripción completa

Detalles Bibliográficos
Autores principales: Ghai, Rohit, Lindemann, Hannes, Chakraborty, Trinad
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1555617/
https://www.ncbi.nlm.nih.gov/pubmed/16848887
http://dx.doi.org/10.1186/1471-2105-7-348
_version_ 1782129367590109184
author Ghai, Rohit
Lindemann, Hannes
Chakraborty, Trinad
author_facet Ghai, Rohit
Lindemann, Hannes
Chakraborty, Trinad
author_sort Ghai, Rohit
collection PubMed
description BACKGROUND: Increasing amounts of data from large scale whole genome analysis efforts demands convenient tools for manipulation, visualization and investigation. Whole genome plots offer an intuitive window to the analysis. We describe two applications that enable users to easily plot and explore whole genome data from their own or other researchers' experiments. RESULTS: STRIPE and GFFtool (General Feature Format Tool) are softwares designed to support integration, visualization and exploration of whole genome data from eukaryotic genomes. STRIPE, in addition to providing a highly customizable and interactive data plot, provides access to numerous well-selected databases with updated information on all genes of a genome. GFFtool provides a user-friendly solution to integrating experimental data with the genomic information available in public databases. They also obviate the need for users to maintain large annotation resources, as they link to well-known resources using standard gene and protein identifiers. CONCLUSION: The programs provide the user with broad genomic overviews of data distribution, fast access to data of interest, and the ability to navigate speedily from one resource to another, and gain a better understanding of result of whole genome analysis experiments.
format Text
id pubmed-1555617
institution National Center for Biotechnology Information
language English
publishDate 2006
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-15556172006-08-26 Integrated functional visualization of eukaryotic genomes Ghai, Rohit Lindemann, Hannes Chakraborty, Trinad BMC Bioinformatics Software BACKGROUND: Increasing amounts of data from large scale whole genome analysis efforts demands convenient tools for manipulation, visualization and investigation. Whole genome plots offer an intuitive window to the analysis. We describe two applications that enable users to easily plot and explore whole genome data from their own or other researchers' experiments. RESULTS: STRIPE and GFFtool (General Feature Format Tool) are softwares designed to support integration, visualization and exploration of whole genome data from eukaryotic genomes. STRIPE, in addition to providing a highly customizable and interactive data plot, provides access to numerous well-selected databases with updated information on all genes of a genome. GFFtool provides a user-friendly solution to integrating experimental data with the genomic information available in public databases. They also obviate the need for users to maintain large annotation resources, as they link to well-known resources using standard gene and protein identifiers. CONCLUSION: The programs provide the user with broad genomic overviews of data distribution, fast access to data of interest, and the ability to navigate speedily from one resource to another, and gain a better understanding of result of whole genome analysis experiments. BioMed Central 2006-07-18 /pmc/articles/PMC1555617/ /pubmed/16848887 http://dx.doi.org/10.1186/1471-2105-7-348 Text en Copyright © 2006 Ghai et al; 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
Ghai, Rohit
Lindemann, Hannes
Chakraborty, Trinad
Integrated functional visualization of eukaryotic genomes
title Integrated functional visualization of eukaryotic genomes
title_full Integrated functional visualization of eukaryotic genomes
title_fullStr Integrated functional visualization of eukaryotic genomes
title_full_unstemmed Integrated functional visualization of eukaryotic genomes
title_short Integrated functional visualization of eukaryotic genomes
title_sort integrated functional visualization of eukaryotic genomes
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1555617/
https://www.ncbi.nlm.nih.gov/pubmed/16848887
http://dx.doi.org/10.1186/1471-2105-7-348
work_keys_str_mv AT ghairohit integratedfunctionalvisualizationofeukaryoticgenomes
AT lindemannhannes integratedfunctionalvisualizationofeukaryoticgenomes
AT chakrabortytrinad integratedfunctionalvisualizationofeukaryoticgenomes