About the Journal
The Journal of Computational Genomics and Biology is a peer-reviewed journal that aims to publish the latest research and clinical updates in computational genomics and biology. Our articles cover a wide range of topics related to computational genomics and biology, including the analysis of genomic data, the development of new computational tools and techniques, and the application of computational methods to biological problems.
One of the key features of the Journal of Computational Genomics and Biology is creating a database that allows researchers to deposit their code and computational analysis pipelines for use by other researchers. This database is an essential resource for the scientific community, as it allows researchers to access the tools and techniques developed by their colleagues and to reproduce and build upon their work.
We publish original research articles, review articles, case reports, and editorials written by leading experts in the field. Our goal is to provide valuable information and insights to help researchers, clinicians, and other healthcare professionals improve our understanding of genomic data and develop new technologies and therapies.
Some of the specific areas of interest that may be covered in our articles include:
- Genome assembly and annotation: articles on the development of new methods for genome assembly and annotation, the use of computational techniques to improve the accuracy and completeness of genome annotations, and the application of genome assembly and annotation methods to a variety of organisms.
- Gene expression analysis: articles on the development of new methods for analyzing gene expression data, the use of computational techniques to identify gene expression patterns, and the application of gene expression analysis methods to various biological problems.
- Genetic variation analysis: articles on developing new methods for analyzing genetic variation data, using computational techniques to identify patterns of genetic variation, and applying genetic variation analysis methods to various biological problems.
- Comparative genomics: articles on using computational techniques to compare the genomes of different organisms, identifying conserved and non-conserved genomic elements, and applying comparative genomics methods to various biological problems.
- Functional genomics: articles on the use of computational techniques to study the function of genes and gene products, identify functional elements in the genome, and apply functional genomics methods to various biological problems.
- Structural genomics: articles on computational techniques to study the three-dimensional structure of proteins and other biomolecules, new methods for predicting protein structure, and applying structural genomics methods to various biological problems.
- Systems biology: articles on the use of computational techniques to study the interactions and relationships between different biological pathways and processes, the development of new methods for modeling and simulating biological systems, and the application of systems biology methods to various biological problems.
- Bioinformatics: articles on developing new software tools and databases for genomic data analysis, using computational techniques to integrate and analyze large datasets, and applying bioinformatics methods to various biological problems.
- Evolutionary genomics: articles on the use of computational techniques to study the evolution of genomes and gene families, the identification of conserved and non-conserved genomic elements, and the application of evolutionary genomics methods to various biological problems.
- Molecular evolution: articles on the use of computational techniques to study the evolution of biomolecules, the identification of conserved and non-conserved molecular elements, and the application of molecular evolution methods to various biological problems.
We welcome submissions from researchers and clinicians worldwide on various topics related to computational genomics and biology. While we have listed some specific areas of interest, we also encourage the submission of articles on other topics that fall within the scope of the Journal of Computational Genomics and Biology. If you are working in a field related to computational genomics and biology and have research or clinical updates to share, we encourage you to consider submitting your work to the Journal. We publish articles that provide valuable information and insights that can help researchers, clinicians, and other healthcare professionals improve our understanding of genomic data and develop new technologies and therapies.