{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["13"],"submitter":["Prince S"],"pubmed_abstract":["Mitochondrial genomes-in particular those of fungi-often encode genes with a large number of Group I and Group II introns that are conserved at both the sequence and the RNA structure level. They provide a rich resource for the investigation of intron and gene structure, self- and protein-guided splicing mechanisms, and intron evolution. Yet, the degree of sequence conservation of introns is limited, and the primary sequence differs considerably among the distinct intron sub-groups. It makes intron identification, classification, structural modeling, and the inference of gene models a most challenging and error-prone task-frequently passed on to an \"expert\" for manual intervention. To reduce the need for manual curation of intron structures and mitochondrial gene models, computational meth"],"journal":["Frontiers in microbiology"],"pagination":["866187"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8971849"],"repository":["biostudies-literature"],"pubmed_title":["Refining Mitochondrial Intron Classification With ERPIN: Identification Based on Conservation of Sequence Plus Secondary Structure Motifs."],"pmcid":["PMC8971849"],"pubmed_authors":["Prince S","Sarrasin M","Rioux P","Filion-Bienvenue F","Lang BF","Munoz C"],"additional_accession":[]},"is_claimable":false,"name":"Refining Mitochondrial Intron Classification With ERPIN: Identification Based on Conservation of Sequence Plus Secondary Structure Motifs.","description":"Mitochondrial genomes-in particular those of fungi-often encode genes with a large number of Group I and Group II introns that are conserved at both the sequence and the RNA structure level. They provide a rich resource for the investigation of intron and gene structure, self- and protein-guided splicing mechanisms, and intron evolution. Yet, the degree of sequence conservation of introns is limited, and the primary sequence differs considerably among the distinct intron sub-groups. It makes intron identification, classification, structural modeling, and the inference of gene models a most challenging and error-prone task-frequently passed on to an \"expert\" for manual intervention. To reduce the need for manual curation of intron structures and mitochondrial gene models, computational meth","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2025-04-04T12:57:52.901Z","creation":"2025-04-04T12:57:52.901Z"},"accession":"S-EPMC8971849","cross_references":{"pubmed":["35369492"],"doi":["10.3389/fmicb.2022.866187"]}}