About this Research Topic
Bioinformatics has become an indispensable technology in molecular biology for genome editing. Many computational tools, including algorithms, databases, and predictive models, have been developed to design and analyze the experiments of genome engineering. Genome editing technologies have been developing since 2010. Indeed, the total number of genome-editing-related studies continues to grow every year. Therefore, various bioinformatics tools are necessary for life scientists to be exposed to large amounts of data, and be able to analyze the data themselves.
Despite a lot of genome editing software already been developed, most of them are not publicly available nor properly maintained, besides the lack of a comprehensive genome editing database and the absence of fully-decoded and well-annotated genomes. All this makes it difficult for researchers to grasp the whole picture of how and which genes have been studied and to what extent. Therefore, we propose a Research Topic focused on the development of new bioinformatics techniques and computational tools, including machine learning–based models, genome editing software, and biological databases publicly available to select genome editing target genes in model organism species with substantial genomic information and annotation for them.
We welcome contributions covering all aspects of computational approaches for genome editing, such as computational technologies, machine learning–based prediction models, genome editing databases, genome sequence analysis, and functional annotation of genes. In addition to original research articles, reviews or opinions on computational resources, including the advantages and limitations of each, are welcome.
This Research Topic welcomes:
• Methods: Describing either new or existing methods that are significantly improved or adapted for specific purposes. Developing novel genome editing computational tools and databases. These manuscripts may include primary (original) data.
• Original Research showing proof of concepts and applications of novel computational resources.
• Reviews and mini-reviews of computational methods and resources highlighting the important future directions of the field.
Despite a lot of genome editing software already been developed, most of them are not publicly available nor properly maintained, besides the lack of a comprehensive genome editing database and the absence of fully-decoded and well-annotated genomes. All this makes it difficult for researchers to grasp the whole picture of how and which genes have been studied and to what extent. Therefore, we propose a Research Topic focused on the development of new bioinformatics techniques and computational tools, including machine learning–based models, genome editing software, and biological databases publicly available to select genome editing target genes in model organism species with substantial genomic information and annotation for them.
We welcome contributions covering all aspects of computational approaches for genome editing, such as computational technologies, machine learning–based prediction models, genome editing databases, genome sequence analysis, and functional annotation of genes. In addition to original research articles, reviews or opinions on computational resources, including the advantages and limitations of each, are welcome.
This Research Topic welcomes:
• Methods: Describing either new or existing methods that are significantly improved or adapted for specific purposes. Developing novel genome editing computational tools and databases. These manuscripts may include primary (original) data.
• Original Research showing proof of concepts and applications of novel computational resources.
• Reviews and mini-reviews of computational methods and resources highlighting the important future directions of the field.
Keywords: Genome Editing, Bioinformatics, Machine learning, Software, Database
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
