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BarleyExpDB: an integrative gene expression database for barley

BACKGROUND: RNA-sequencing (RNA-seq) has been widely used to study the dynamic expression patterns of transcribed genes, which can lead to new biological insights. However, processing and analyzing these huge amounts of histological data remains a great challenge for wet labs and field researchers w...

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Autores principales: Li, Tingting, Li, Yihan, Shangguan, Hongbin, Bian, Jianxin, Luo, Ruihan, Tian, Yuan, Li, Zhimin, Nie, Xiaojun, Cui, Licao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064564/
https://www.ncbi.nlm.nih.gov/pubmed/37003963
http://dx.doi.org/10.1186/s12870-023-04193-z
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author Li, Tingting
Li, Yihan
Shangguan, Hongbin
Bian, Jianxin
Luo, Ruihan
Tian, Yuan
Li, Zhimin
Nie, Xiaojun
Cui, Licao
author_facet Li, Tingting
Li, Yihan
Shangguan, Hongbin
Bian, Jianxin
Luo, Ruihan
Tian, Yuan
Li, Zhimin
Nie, Xiaojun
Cui, Licao
author_sort Li, Tingting
collection PubMed
description BACKGROUND: RNA-sequencing (RNA-seq) has been widely used to study the dynamic expression patterns of transcribed genes, which can lead to new biological insights. However, processing and analyzing these huge amounts of histological data remains a great challenge for wet labs and field researchers who lack bioinformatics experience and computational resources. RESULTS: We present BarleyExpDB, an easy-to-operate, free, and web-accessible database that integrates transcriptional profiles of barley at different growth and developmental stages, tissues, and stress conditions, as well as differential expression of mutants and populations to build a platform for barley expression and visualization. The expression of a gene of interest can be easily queried by searching by known gene ID or sequence similarity. Expression data can be displayed as a heat map, along with functional descriptions as well as Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, Proteins Families Database, and Simple Modular Architecture Research Tool annotations. CONCLUSIONS: BarleyExpDB will serve as a valuable resource for the barley research community to leverage the vast publicly available RNA-seq datasets for functional genomics research and crop molecular breeding. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-023-04193-z.
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spelling pubmed-100645642023-04-01 BarleyExpDB: an integrative gene expression database for barley Li, Tingting Li, Yihan Shangguan, Hongbin Bian, Jianxin Luo, Ruihan Tian, Yuan Li, Zhimin Nie, Xiaojun Cui, Licao BMC Plant Biol Research BACKGROUND: RNA-sequencing (RNA-seq) has been widely used to study the dynamic expression patterns of transcribed genes, which can lead to new biological insights. However, processing and analyzing these huge amounts of histological data remains a great challenge for wet labs and field researchers who lack bioinformatics experience and computational resources. RESULTS: We present BarleyExpDB, an easy-to-operate, free, and web-accessible database that integrates transcriptional profiles of barley at different growth and developmental stages, tissues, and stress conditions, as well as differential expression of mutants and populations to build a platform for barley expression and visualization. The expression of a gene of interest can be easily queried by searching by known gene ID or sequence similarity. Expression data can be displayed as a heat map, along with functional descriptions as well as Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, Proteins Families Database, and Simple Modular Architecture Research Tool annotations. CONCLUSIONS: BarleyExpDB will serve as a valuable resource for the barley research community to leverage the vast publicly available RNA-seq datasets for functional genomics research and crop molecular breeding. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-023-04193-z. BioMed Central 2023-03-31 /pmc/articles/PMC10064564/ /pubmed/37003963 http://dx.doi.org/10.1186/s12870-023-04193-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Research
Li, Tingting
Li, Yihan
Shangguan, Hongbin
Bian, Jianxin
Luo, Ruihan
Tian, Yuan
Li, Zhimin
Nie, Xiaojun
Cui, Licao
BarleyExpDB: an integrative gene expression database for barley
title BarleyExpDB: an integrative gene expression database for barley
title_full BarleyExpDB: an integrative gene expression database for barley
title_fullStr BarleyExpDB: an integrative gene expression database for barley
title_full_unstemmed BarleyExpDB: an integrative gene expression database for barley
title_short BarleyExpDB: an integrative gene expression database for barley
title_sort barleyexpdb: an integrative gene expression database for barley
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064564/
https://www.ncbi.nlm.nih.gov/pubmed/37003963
http://dx.doi.org/10.1186/s12870-023-04193-z
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