Protein sequence alignment is a fundamental bioinformatics method for comparing proteins, identifying conserved regions, detecting homologues, studying protein families and investigating evolutionary relationships.
Glycine-related genetic variants can affect protein structure, folding, RNA processing, metabolism, and biological function. Their interpretation combines genetic, structural, evolutionary, computational, and functional evidence.
Learn how UniProt and Reactome complement each other by connecting individual protein information with biological pathways, molecular reactions, interactions, and cellular processes.
Learn how UniProt and KEGG pathways complement each other by connecting detailed protein information with metabolic reactions, signaling pathways, enzymes, metabolites, and biological systems.
Gene-tree/species-tree reconciliation compares gene trees with species trees to reconstruct evolutionary events such as gene duplication and gene loss. Learn the principles, workflow, applications, limitations, and role of reconciliation in comparative genomics and phylogenetics.
Gene duplication and gene loss are major forces in genome evolution. Discover how duplication creates new gene copies, how gene loss reshapes genomes, and how these processes influence gene families and functional diversification.
Gene family clustering groups related genes or proteins using sequence similarity, graph-based methods, hierarchical clustering, orthology, and phylogenetics. Learn the major approaches and their applications in comparative genomics.
Gene families are groups of related genes that share a common evolutionary origin. Learn how gene duplication, gene loss, orthology, paralogy, and functional diversification shape gene families and genome evolution.
Learn how gene families are identified using sequence similarity, protein domains, motifs, clustering, orthology, multiple sequence alignment, phylogenetics, and genomic context.
Orthogroups are groups of genes descended from a common ancestral gene across a selected set of species. Learn how orthogroups relate to gene families, orthologs, paralogs, sequence similarity, phylogenetics, and comparative genomics.
Gene family expansion and contraction can be investigated using computational approaches such as gene-family clustering, orthology inference, phylogenetic analysis, gene-tree/species-tree reconciliation, synteny analysis, and evolutionary modeling.
Synteny analysis compares the organization of genes across genomes. Learn how conserved gene order, genomic neighborhoods, and syntenic blocks help study orthologs, gene duplication, gene loss, and genome evolution.
Orthology inference identifies evolutionary relationships between genes using sequence similarity, gene families, phylogenetics, synteny, and computational methods. Learn the major approaches and their limitations.
Protein sequence alignment is a fundamental bioinformatics method for comparing proteins, identifying conserved regions, detecting homologues, studying protein families and investigating evolutionary relationships.
Glycine-related genetic variants can affect protein structure, folding, RNA processing, metabolism, and biological function. Their interpretation combines genetic, structural, evolutionary, computational, and functional evidence.
Learn how UniProt and Reactome complement each other by connecting individual protein information with biological pathways, molecular reactions, interactions, and cellular processes.
Learn how UniProt and KEGG pathways complement each other by connecting detailed protein information with metabolic reactions, signaling pathways, enzymes, metabolites, and biological systems.
Gene-tree/species-tree reconciliation compares gene trees with species trees to reconstruct evolutionary events such as gene duplication and gene loss. Learn the principles, workflow, applications, limitations, and role of reconciliation in comparative genomics and phylogenetics.
Gene duplication and gene loss are major forces in genome evolution. Discover how duplication creates new gene copies, how gene loss reshapes genomes, and how these processes influence gene families and functional diversification.
Gene family clustering groups related genes or proteins using sequence similarity, graph-based methods, hierarchical clustering, orthology, and phylogenetics. Learn the major approaches and their applications in comparative genomics.
Gene families are groups of related genes that share a common evolutionary origin. Learn how gene duplication, gene loss, orthology, paralogy, and functional diversification shape gene families and genome evolution.
Learn how gene families are identified using sequence similarity, protein domains, motifs, clustering, orthology, multiple sequence alignment, phylogenetics, and genomic context.
Orthogroups are groups of genes descended from a common ancestral gene across a selected set of species. Learn how orthogroups relate to gene families, orthologs, paralogs, sequence similarity, phylogenetics, and comparative genomics.
Gene family expansion and contraction can be investigated using computational approaches such as gene-family clustering, orthology inference, phylogenetic analysis, gene-tree/species-tree reconciliation, synteny analysis, and evolutionary modeling.
Synteny analysis compares the organization of genes across genomes. Learn how conserved gene order, genomic neighborhoods, and syntenic blocks help study orthologs, gene duplication, gene loss, and genome evolution.
Orthology inference identifies evolutionary relationships between genes using sequence similarity, gene families, phylogenetics, synteny, and computational methods. Learn the major approaches and their limitations.
