2023
DOI: 10.1186/s12870-023-04193-z
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BarleyExpDB: an integrative gene expression database for barley

Abstract: 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… Show more

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Cited by 11 publications
(8 citation statements)
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“…The Barley Expression Database (BarleyExpDB) (Li et al 2023) was used to get the expression data of HvPIN-PILSs corresponding to various conditions and developmental stages were obtained, including 16 developmental stages (Table S1) (PRJEB14349), apical spikelet abortion (PRJEB51523), heat stress (PRJNA324116), cold stress (PRJNA767196), salinity stress (PRJNA781996), heavy metals stress (PRJNA382490), low nitrogen (PRJNA566107), and drought stress (PRJEB12540). The normalized log2(FPKM) values were used to generate heatmaps of HvPIN-PILSs expression, which were constructed using TBtools.…”
Section: Expression Pro Le Of Hvpin-pilss In Various Tissues and Unde...mentioning
confidence: 99%
“…The Barley Expression Database (BarleyExpDB) (Li et al 2023) was used to get the expression data of HvPIN-PILSs corresponding to various conditions and developmental stages were obtained, including 16 developmental stages (Table S1) (PRJEB14349), apical spikelet abortion (PRJEB51523), heat stress (PRJNA324116), cold stress (PRJNA767196), salinity stress (PRJNA781996), heavy metals stress (PRJNA382490), low nitrogen (PRJNA566107), and drought stress (PRJEB12540). The normalized log2(FPKM) values were used to generate heatmaps of HvPIN-PILSs expression, which were constructed using TBtools.…”
Section: Expression Pro Le Of Hvpin-pilss In Various Tissues and Unde...mentioning
confidence: 99%
“…Furthermore, the data is often fragmented. As data growth continue to accelerate, there is a need for a standardized and simplified method of accessing gene expression data [ 24 ].…”
Section: Introductionmentioning
confidence: 99%
“…Recently, numerous online databases have been established, including CPBD [ 25 ], NGDC [ 26 ], TeaPGDB [ 27 ], BarleyExpDB [ 24 ], PlantcircBase [ 28 ], GRooT [ 29 ], PHI-base [ 30 ], and MPDB [ 31 ]. Notebly, these databases not only store data, but also offer various tools for analyzing biological data, such as BLAST [ 24 , 25 ].…”
Section: Introductionmentioning
confidence: 99%
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