CuGenDB


36271794	CuGenDBv2: an updated database for cucurbit genomics. [PMID: 36271794] Jingyin Yu, Shan Wu, Honghe Sun, Xin Wang, Xuemei Tang, Shaogui Guo, Zhonghua Zhang, Sanwen Huang, Yong Xu, Yiqun Weng, Michael Mazourek, Cecilia McGregor, Susanne S Renner, Sandra Branham, Chandrasekar Kousik, W Patrick Wechter, Amnon Levi, Rebecca Grumet, Yi Zheng, Zhangjun Fei Abstract The Cucurbitaceae (cucurbit) family consists of about 1,000 species in 95 genera, including many economically important and popular fruit and vegetable crops. During the past several years, reference genomes have been generated for >20 cucurbit species, and variome and transcriptome profiling data have been rapidly accumulated for cucurbits. To efficiently mine, analyze and disseminate these large-scale datasets, we have developed an updated version of Cucurbit Genomics Database. The updated database, CuGenDBv2 (http://cucurbitgenomics.org/v2), currently hosts 34 reference genomes from 27 cucurbit species/subspecies belonging to 10 different genera. Protein-coding genes from these genomes have been comprehensively annotated by comparing their protein sequences to various public protein and domain databases. A novel 'Genotype' module has been implemented to facilitate mining and analysis of the functionally annotated variome data including SNPs and small indels from large-scale genome sequencing projects. An updated 'Expression' module has been developed to provide a comprehensive gene expression atlas for cucurbits. Furthermore, synteny blocks between any two and within each of the 34 genomes, representing a total of 595 pair-wise genome comparisons, have been identified and can be explored and visualized in the database. Nucleic Acids Res. 2023:51(D1) \| 38 Citations (from Europe PMC, 2025-03-22)
30321383	Cucurbit Genomics Database (CuGenDB): a central portal for comparative and functional genomics of cucurbit crops. [PMID: 30321383] Zheng Y, Wu S, Bai Y, Sun H, Jiao C, Guo S, Zhao K, Blanca J, Zhang Z, Huang S, Xu Y, Weng Y, Mazourek M, K Reddy U, Ando K, McCreight JD, Schaffer AA, Burger J, Tadmor Y, Katzir N, Tang X, Liu Y, Giovannoni JJ, Ling KS, Wechter WP, Levi A, Garcia-Mas J, Grumet R, Fei Z. Abstract The Cucurbitaceae family (cucurbit) includes several economically important crops, such as melon, cucumber, watermelon, pumpkin, squash and gourds. During the past several years, genomic and genetic data have been rapidly accumulated for cucurbits. To store, mine, analyze, integrate and disseminate these large-scale datasets and to provide a central portal for the cucurbit research and breeding community, we have developed the Cucurbit Genomics Database (CuGenDB; http://cucurbitgenomics.org) using the Tripal toolkit. The database currently contains all available genome and expressed sequence tag (EST) sequences, genetic maps, and transcriptome profiles for cucurbit species, as well as sequence annotations, biochemical pathways and comparative genomic analysis results such as synteny blocks and homologous gene pairs between different cucurbit species. A set of analysis and visualization tools and user-friendly query interfaces have been implemented in the database to facilitate the usage of these large-scale data by the community. In particular, two new tools have been developed in the database, a 'SyntenyViewer' to view genome synteny between different cucurbit species and an 'RNA-Seq' module to analyze and visualize gene expression profiles. Both tools have been packed as Tripal extension modules that can be adopted in other genomics databases developed using the Tripal system. Nucleic Acids Res. 2019:47(D1) \| 82 Citations (from Europe PMC, 2025-03-22)

CuGenDBv2: an updated database for cucurbit genomics. [PMID: 36271794]

Jingyin Yu, Shan Wu, Honghe Sun, Xin Wang, Xuemei Tang, Shaogui Guo, Zhonghua Zhang, Sanwen Huang, Yong Xu, Yiqun Weng, Michael Mazourek, Cecilia McGregor, Susanne S Renner, Sandra Branham, Chandrasekar Kousik, W Patrick Wechter, Amnon Levi, Rebecca Grumet, Yi Zheng, Zhangjun Fei

Abstract

The Cucurbitaceae (cucurbit) family consists of about 1,000 species in 95 genera, including many economically important and popular fruit and vegetable crops. During the past several years, reference genomes have been generated for >20 cucurbit species, and variome and transcriptome profiling data have been rapidly accumulated for cucurbits. To efficiently mine, analyze and disseminate these large-scale datasets, we have developed an updated version of Cucurbit Genomics Database. The updated database, CuGenDBv2 (http://cucurbitgenomics.org/v2), currently hosts 34 reference genomes from 27 cucurbit species/subspecies belonging to 10 different genera. Protein-coding genes from these genomes have been comprehensively annotated by comparing their protein sequences to various public protein and domain databases. A novel 'Genotype' module has been implemented to facilitate mining and analysis of the functionally annotated variome data including SNPs and small indels from large-scale genome sequencing projects. An updated 'Expression' module has been developed to provide a comprehensive gene expression atlas for cucurbits. Furthermore, synteny blocks between any two and within each of the 34 genomes, representing a total of 595 pair-wise genome comparisons, have been identified and can be explored and visualized in the database.

Nucleic Acids Res. 2023:51(D1) | 38 Citations (from Europe PMC, 2025-03-22)

Cucurbit Genomics Database (CuGenDB): a central portal for comparative and functional genomics of cucurbit crops. [PMID: 30321383]

Zheng Y, Wu S, Bai Y, Sun H, Jiao C, Guo S, Zhao K, Blanca J, Zhang Z, Huang S, Xu Y, Weng Y, Mazourek M, K Reddy U, Ando K, McCreight JD, Schaffer AA, Burger J, Tadmor Y, Katzir N, Tang X, Liu Y, Giovannoni JJ, Ling KS, Wechter WP, Levi A, Garcia-Mas J, Grumet R, Fei Z.

Abstract

The Cucurbitaceae family (cucurbit) includes several economically important crops, such as melon, cucumber, watermelon, pumpkin, squash and gourds. During the past several years, genomic and genetic data have been rapidly accumulated for cucurbits. To store, mine, analyze, integrate and disseminate these large-scale datasets and to provide a central portal for the cucurbit research and breeding community, we have developed the Cucurbit Genomics Database (CuGenDB; http://cucurbitgenomics.org) using the Tripal toolkit. The database currently contains all available genome and expressed sequence tag (EST) sequences, genetic maps, and transcriptome profiles for cucurbit species, as well as sequence annotations, biochemical pathways and comparative genomic analysis results such as synteny blocks and homologous gene pairs between different cucurbit species. A set of analysis and visualization tools and user-friendly query interfaces have been implemented in the database to facilitate the usage of these large-scale data by the community. In particular, two new tools have been developed in the database, a 'SyntenyViewer' to view genome synteny between different cucurbit species and an 'RNA-Seq' module to analyze and visualize gene expression profiles. Both tools have been packed as Tripal extension modules that can be adopted in other genomics databases developed using the Tripal system.

Nucleic Acids Res. 2019:47(D1) | 82 Citations (from Europe PMC, 2025-03-22)

URL:	http://cucurbitgenomics.org/v2
Full name:	Cucurbit Genomics Database
Description:	a central portal for comparative and functional genomics of cucurbit crops.
Year founded:	2019
Last update:	2023-03
Version:	v2
Accessibility:	Accessible
Country/Region:	United States

Data type:	DNA RNA
Data object:	Plant
Database category:	Expression Gene genome and annotation
Major species:	Cucurbita maxima Citrullus lanatus Cucumis sativus Lagenaria siceraria
Keywords:	Cucurbitaceae economically important crops gene expression visulization

University/Institution:	Cornell University
Address:	Boyce Thompson Institute, Cornell University, Ithaca, NY 14853
City:
Province/State:
Country/Region:	United States
Contact name (PI/Team):	Zhangjun Fei
Contact email (PI/Helpdesk):	zf25@cornell.edu

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