The convergence of digital and biological information is paving the way for life science at the speed of thought. The community is facing a critical challenge with managing a discovery process that is ever more quantitative and data driven. Bioinformatics is an interdisciplinary science with a pivotal role to manage and mine biological data for knowledge.
This Research Topic is in conjunction with the 21st International Conference on Bioinformatics (InCoB2022; https://cbrcconferences.kaust.edu.sa/incob2022), the flagship, annual conference of the Asia-Pacific Bioinformatics Network (APBioNET; https://www.apbionet.org), which will be hosted for the first time in Saudi Arabia by King Abdullah University of Science and Technology (KAUST) and held from November 21-23, 2022. The conference will include keynote talks, 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 “Accelerating innovation to meet biological challenges: The role of bioinformatics.” 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
The convergence of digital and biological information is paving the way for life science at the speed of thought. The community is facing a critical challenge with managing a discovery process that is ever more quantitative and data driven. Bioinformatics is an interdisciplinary science with a pivotal role to manage and mine biological data for knowledge.
This Research Topic is in conjunction with the 21st International Conference on Bioinformatics (InCoB2022; https://cbrcconferences.kaust.edu.sa/incob2022), the flagship, annual conference of the Asia-Pacific Bioinformatics Network (APBioNET; https://www.apbionet.org), which will be hosted for the first time in Saudi Arabia by King Abdullah University of Science and Technology (KAUST) and held from November 21-23, 2022. The conference will include keynote talks, 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 “Accelerating innovation to meet biological challenges: The role of bioinformatics.” 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