Recent technological developments have given rise to multiple high-throughput biological data types. These include omics data, such as genomics, transcriptomics, proteomics, and other micro and macro-scale activities data, including those empowered by imaging technologies. Bioinformatics and computational biology approaches are key for analyses of large-scale datasets, invaluable for basic biological research and the translation of data-driven discoveries.
This Research Topic is in conjunction with the
19th International Conference on Bioinformatics 2020 (InCoB2020) , the flagship, annual conference of Asia-Pacific Bioinformatics Network (APBioNet), which will be held virtually for the first time, this year from November 25-29. The conference will include presentations of original research results, discussions in plenary sessions, poster sessions, workshops, software demos and panel discussions related to the field of bioinformatics and computational biology.
The central focus of this Research Topic is aligned with the theme of the conference “Bioinformatics and the translation of data-driven discoveries.” We encourage submissions central to the theme in all areas of bioinformatics and computational biology, which are in scope for either Frontiers in Genetics or Frontiers in Bioinformatics.
Areas which are in scope for Frontiers in Genetics:
? Big data in biology: analytics, machine learning methods and datasets
? Database management
? Drug design and discovery
? Genetics of cell differentiation and reprogramming
? Genome and proteome manipulation
? Genomics
? Metagenomics
? Microarray analysis
? Molecular evolution and phylogeny
? Next generation sequencing
? Population genetics
? Systems Biology
Areas which are in scope for Frontiers in Bioinformatics:
? Structural bioinformatics
? Scalable data storage
? Proteomics
? Synthetic Biology
? Translational Bioinformatics
? Workflow and knowledge management
? Immunoinformatics
? Medical and health informatics
? High throughput omics and imaging platforms
? Metabolomics
? Protein interactions and diseases
? Protein folding and conformational diseases
? Bioimaging
? Bioinformatics applications
? Bioinformatics models, methods and algorithms
? Biological sequence analysis
? Bio-ontology and semantics
? Clinical bioinformatics
? Data mining and biomedical knowledge discovery
