ICAFG 2022 : International Conference on Advances in Functional Genomics is the premier interdisciplinary platform for the presentation of new advances and research results in the fields of Advances in Functional Genomics. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:

• Functional genomics
• Advances in functional genomics
• Comparative analysis of protein-encoding genes in an evolutionary context
• Discovery of lineage-specific and/or tissue-specific noncoding rnas
• Prediction and characterization of protein-protein interactions
• Discovery of promoters driving temporal or tissue-specific gene expression
• Comparative analysis of photosynthetic pathways (c3, c4, and crassulacean acid metabolism)
• Evolutionary analysis of genes involved in secondary metabolism
• Signal transduction in plant-microbe/insect interactions and plant response to abiotic stress and climate change
• Functional elucidation of regulatory genes and key enzymes based on integrative genomics
• Development of new computational tools (programs, servers, and databases) for comparative genomics
• Big data analysis tools for genomics research
• translational bioinformatics
• Specific molecular and pathway analysis
• Computational systems biology
• Bioinformatics algorithm
• Medical and health informatics
• Integrative data analysis
• Genome annotation and comparative genomics
• Traditional bioinformatics
• Sequence analysis, comparison and alignment methods
• Motif, gene and signal recognition
• Molecular evolution, phylogenetics and phylogenomics
• Determination or prediction of the structure of rna and protein in two and three dimensions;
• Inference/ reconstruction of metabolic/ regulatory networks or models
• Analysis of high-throughput biological data
• Molecular docking and drug design
• Problems in population genetics such as linkage and qtl analysis, linkage disequilibrium analysis in populations, and haplotype determination
• Metabolic engineering applications