There are a variety of online resources on plant biological data, largely due to technological advances in various fields such as genome sequencing. Rapid sequencing solutions at lower cost have led to a flood of websites hosting integrated omics data. In addition to genomic, transcriptomic, proteomic, and metabolomic data, structural information and genetic markers are also important for understanding plant genome evolution. Therefore, this Research Topic aims to promote online resources for plant biology data, including databases and webservers that may be of interest to plant scientists, evolutionary biologists, and computational biologists. For example, an important lesson from artificial intelligence is that increasing the amount of data combined with suitable algorithms and systems leads to a significantly higher interpretation of biological systems. Thus, it is necessary to accurately collect, curate and share biological data.
Computational approaches are playing an increasingly important role in many areas of research aimed at understanding the complexity of plant biological systems. Recognizing the critical importance of databases, software, and webservers, the goal of this Research Topic is to collect important computational resources that can help researchers gain new, molecular, and functional insights into important plant biological systems and solve difficult unanswered questions in fields such as plant breeding, plant pathology, and plant physiology. The collected databases may include microsatellites, transposable elements, SNPs, and other molecular and biological data of interest to plant scientists.
Authors of online resources specifically related to crop or model plants should be able to explain how their resources will benefit the broad readership of Frontiers in Plant Science. In addition, updates to existing databases and webservers are encouraged to motivate regular updates and maintenance of existing resources.
Databases and Webservers must be freely accessible to all via the Internet, must not require login or registration, and must not be password protected. Authors must describe how their database is different from and substantially better than all similar resources. The website must contain sufficient supporting materials to ensure ease of use by a first-time visitor. Updates will not be considered until 24 months have passed since the last publication.
Databases and webservers should include, but are not limited to, one of the following:
• Plant DNA, RNA, and protein sequences or structures
• Analysis of high-throughput sequencing data and microarray data
• Network and pathway analysis
• Biological text mining
• Synthetic biology tools
• Innovative visualizations
There are a variety of online resources on plant biological data, largely due to technological advances in various fields such as genome sequencing. Rapid sequencing solutions at lower cost have led to a flood of websites hosting integrated omics data. In addition to genomic, transcriptomic, proteomic, and metabolomic data, structural information and genetic markers are also important for understanding plant genome evolution. Therefore, this Research Topic aims to promote online resources for plant biology data, including databases and webservers that may be of interest to plant scientists, evolutionary biologists, and computational biologists. For example, an important lesson from artificial intelligence is that increasing the amount of data combined with suitable algorithms and systems leads to a significantly higher interpretation of biological systems. Thus, it is necessary to accurately collect, curate and share biological data.
Computational approaches are playing an increasingly important role in many areas of research aimed at understanding the complexity of plant biological systems. Recognizing the critical importance of databases, software, and webservers, the goal of this Research Topic is to collect important computational resources that can help researchers gain new, molecular, and functional insights into important plant biological systems and solve difficult unanswered questions in fields such as plant breeding, plant pathology, and plant physiology. The collected databases may include microsatellites, transposable elements, SNPs, and other molecular and biological data of interest to plant scientists.
Authors of online resources specifically related to crop or model plants should be able to explain how their resources will benefit the broad readership of Frontiers in Plant Science. In addition, updates to existing databases and webservers are encouraged to motivate regular updates and maintenance of existing resources.
Databases and Webservers must be freely accessible to all via the Internet, must not require login or registration, and must not be password protected. Authors must describe how their database is different from and substantially better than all similar resources. The website must contain sufficient supporting materials to ensure ease of use by a first-time visitor. Updates will not be considered until 24 months have passed since the last publication.
Databases and webservers should include, but are not limited to, one of the following:
• Plant DNA, RNA, and protein sequences or structures
• Analysis of high-throughput sequencing data and microarray data
• Network and pathway analysis
• Biological text mining
• Synthetic biology tools
• Innovative visualizations
