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CrustyBase: an interactive online database for crustacean transcriptomes
Transcriptome sequencing has opened the field of genomics to a wide variety of researchers, owing to its efficiency, applicability across species and ability to quantify gene expression. The resulting datasets are a rich source of information that can be mined for many years into the future, with ea...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490944/ https://www.ncbi.nlm.nih.gov/pubmed/32928113 http://dx.doi.org/10.1186/s12864-020-07063-2 |
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author | Hyde, Cameron J. Fitzgibbon, Quinn P. Elizur, Abigail Smith, Gregory G. Ventura, Tomer |
author_facet | Hyde, Cameron J. Fitzgibbon, Quinn P. Elizur, Abigail Smith, Gregory G. Ventura, Tomer |
author_sort | Hyde, Cameron J. |
collection | PubMed |
description | Transcriptome sequencing has opened the field of genomics to a wide variety of researchers, owing to its efficiency, applicability across species and ability to quantify gene expression. The resulting datasets are a rich source of information that can be mined for many years into the future, with each dataset providing a unique angle on a specific context in biology. Maintaining accessibility to this accumulation of data presents quite a challenge for researchers. The primary focus of conventional genomics databases is the storage, navigation and interpretation of sequence data, which is typically classified down to the level of a species or individual. The addition of expression data adds a new dimension to this paradigm – the sampling context. Does gene expression describe different tissues, a temporal distribution or an experimental treatment? These data not only describe an individual, but the biological context surrounding that individual. The structure and utility of a transcriptome database must therefore reflect these attributes. We present an online database which has been designed to maximise the accessibility of crustacean transcriptome data by providing intuitive navigation within and between datasets and instant visualization of gene expression and protein structure. The site is accessible at https://crustybase.org and currently holds 10 datasets from a range of crustacean species. It also allows for upload of novel transcriptome datasets through a simple web interface, allowing the research community to contribute their own data to a pool of shared knowledge. |
format | Online Article Text |
id | pubmed-7490944 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74909442020-09-16 CrustyBase: an interactive online database for crustacean transcriptomes Hyde, Cameron J. Fitzgibbon, Quinn P. Elizur, Abigail Smith, Gregory G. Ventura, Tomer BMC Genomics Database Transcriptome sequencing has opened the field of genomics to a wide variety of researchers, owing to its efficiency, applicability across species and ability to quantify gene expression. The resulting datasets are a rich source of information that can be mined for many years into the future, with each dataset providing a unique angle on a specific context in biology. Maintaining accessibility to this accumulation of data presents quite a challenge for researchers. The primary focus of conventional genomics databases is the storage, navigation and interpretation of sequence data, which is typically classified down to the level of a species or individual. The addition of expression data adds a new dimension to this paradigm – the sampling context. Does gene expression describe different tissues, a temporal distribution or an experimental treatment? These data not only describe an individual, but the biological context surrounding that individual. The structure and utility of a transcriptome database must therefore reflect these attributes. We present an online database which has been designed to maximise the accessibility of crustacean transcriptome data by providing intuitive navigation within and between datasets and instant visualization of gene expression and protein structure. The site is accessible at https://crustybase.org and currently holds 10 datasets from a range of crustacean species. It also allows for upload of novel transcriptome datasets through a simple web interface, allowing the research community to contribute their own data to a pool of shared knowledge. BioMed Central 2020-09-14 /pmc/articles/PMC7490944/ /pubmed/32928113 http://dx.doi.org/10.1186/s12864-020-07063-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Database Hyde, Cameron J. Fitzgibbon, Quinn P. Elizur, Abigail Smith, Gregory G. Ventura, Tomer CrustyBase: an interactive online database for crustacean transcriptomes |
title | CrustyBase: an interactive online database for crustacean transcriptomes |
title_full | CrustyBase: an interactive online database for crustacean transcriptomes |
title_fullStr | CrustyBase: an interactive online database for crustacean transcriptomes |
title_full_unstemmed | CrustyBase: an interactive online database for crustacean transcriptomes |
title_short | CrustyBase: an interactive online database for crustacean transcriptomes |
title_sort | crustybase: an interactive online database for crustacean transcriptomes |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490944/ https://www.ncbi.nlm.nih.gov/pubmed/32928113 http://dx.doi.org/10.1186/s12864-020-07063-2 |
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