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CGDV: a webtool for circular visualization of genomics and transcriptomics data
BACKGROUND: Interpretation of large-scale data is very challenging and currently there is scarcity of web tools which support automated visualization of a variety of high throughput genomics and transcriptomics data and for a wide variety of model organisms along with user defined karyotypes. Circul...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5655900/ https://www.ncbi.nlm.nih.gov/pubmed/29065857 http://dx.doi.org/10.1186/s12864-017-4169-5 |
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author | Jha, Vineet Singh, Gulzar Kumar, Shiva Sonawane, Amol Jere, Abhay Anamika, Krishanpal |
author_facet | Jha, Vineet Singh, Gulzar Kumar, Shiva Sonawane, Amol Jere, Abhay Anamika, Krishanpal |
author_sort | Jha, Vineet |
collection | PubMed |
description | BACKGROUND: Interpretation of large-scale data is very challenging and currently there is scarcity of web tools which support automated visualization of a variety of high throughput genomics and transcriptomics data and for a wide variety of model organisms along with user defined karyotypes. Circular plot provides holistic visualization of high throughput large scale data but it is very complex and challenging to generate as most of the available tools need informatics expertise to install and run them. RESULT: We have developed CGDV (Circos for Genomics and Transcriptomics Data Visualization), a webtool based on Circos, for seamless and automated visualization of a variety of large scale genomics and transcriptomics data. CGDV takes output of analyzed genomics or transcriptomics data of different formats, such as vcf, bed, xls, tab limited matrix text file, CNVnator raw output and Gene fusion raw output, to plot circular view of the sample data. CGDV take cares of generating intermediate files required for circos. CGDV is freely available at https://cgdv-upload.persistent.co.in/cgdv/. CONCLUSION: The circular plot for each data type is tailored to gain best biological insights into the data. The inter-relationship between data points, homologous sequences, genes involved in fusion events, differential expression pattern, sequencing depth, types and size of variations and enrichment of DNA binding proteins can be seen using CGDV. CGDV thus helps biologists and bioinformaticians to visualize a variety of genomics and transcriptomics data seamlessly. |
format | Online Article Text |
id | pubmed-5655900 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-56559002017-10-31 CGDV: a webtool for circular visualization of genomics and transcriptomics data Jha, Vineet Singh, Gulzar Kumar, Shiva Sonawane, Amol Jere, Abhay Anamika, Krishanpal BMC Genomics Software BACKGROUND: Interpretation of large-scale data is very challenging and currently there is scarcity of web tools which support automated visualization of a variety of high throughput genomics and transcriptomics data and for a wide variety of model organisms along with user defined karyotypes. Circular plot provides holistic visualization of high throughput large scale data but it is very complex and challenging to generate as most of the available tools need informatics expertise to install and run them. RESULT: We have developed CGDV (Circos for Genomics and Transcriptomics Data Visualization), a webtool based on Circos, for seamless and automated visualization of a variety of large scale genomics and transcriptomics data. CGDV takes output of analyzed genomics or transcriptomics data of different formats, such as vcf, bed, xls, tab limited matrix text file, CNVnator raw output and Gene fusion raw output, to plot circular view of the sample data. CGDV take cares of generating intermediate files required for circos. CGDV is freely available at https://cgdv-upload.persistent.co.in/cgdv/. CONCLUSION: The circular plot for each data type is tailored to gain best biological insights into the data. The inter-relationship between data points, homologous sequences, genes involved in fusion events, differential expression pattern, sequencing depth, types and size of variations and enrichment of DNA binding proteins can be seen using CGDV. CGDV thus helps biologists and bioinformaticians to visualize a variety of genomics and transcriptomics data seamlessly. BioMed Central 2017-10-24 /pmc/articles/PMC5655900/ /pubmed/29065857 http://dx.doi.org/10.1186/s12864-017-4169-5 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Jha, Vineet Singh, Gulzar Kumar, Shiva Sonawane, Amol Jere, Abhay Anamika, Krishanpal CGDV: a webtool for circular visualization of genomics and transcriptomics data |
title | CGDV: a webtool for circular visualization of genomics and transcriptomics data |
title_full | CGDV: a webtool for circular visualization of genomics and transcriptomics data |
title_fullStr | CGDV: a webtool for circular visualization of genomics and transcriptomics data |
title_full_unstemmed | CGDV: a webtool for circular visualization of genomics and transcriptomics data |
title_short | CGDV: a webtool for circular visualization of genomics and transcriptomics data |
title_sort | cgdv: a webtool for circular visualization of genomics and transcriptomics data |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5655900/ https://www.ncbi.nlm.nih.gov/pubmed/29065857 http://dx.doi.org/10.1186/s12864-017-4169-5 |
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