{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Chen CC"],"funding":["Incheon National University","Ministry of Science and Technology, Taiwan"],"pagination":["346"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11539752"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["25(1)"],"pubmed_abstract":["<h4>Background</h4>RNA secondary structural alignment serves as a foundational procedure in identifying conserved structural motifs among RNA sequences, crucially advancing our understanding of novel RNAs via comparative genomic analysis. While various computational strategies for RNA structural alignment exist, they often come with high computational complexity. Specifically, when addressing a set of RNAs with unknown structures, the task of simultaneously predicting their consensus secondary structure and determining the optimal sequence alignment requires an overwhelming computational effort of O ( L 6 )  for each RNA pair. Such an extremely high computational complexity makes these methods impractical for large-scale analysis despite their accurate alignment capabilities.<h4>Results</h"],"journal":["BMC bioinformatics"],"pubmed_title":["REDalign: accurate RNA structural alignment using residual encoder-decoder network."],"pmcid":["PMC11539752"],"funding_grant_id":["110-2222-E-415-001-MY2","International Cooperative Research Grant in 2021"],"pubmed_authors":["Chan YM","Jeong H","Chen CC"],"additional_accession":[]},"is_claimable":false,"name":"REDalign: accurate RNA structural alignment using residual encoder-decoder network.","description":"<h4>Background</h4>RNA secondary structural alignment serves as a foundational procedure in identifying conserved structural motifs among RNA sequences, crucially advancing our understanding of novel RNAs via comparative genomic analysis. While various computational strategies for RNA structural alignment exist, they often come with high computational complexity. Specifically, when addressing a set of RNAs with unknown structures, the task of simultaneously predicting their consensus secondary structure and determining the optimal sequence alignment requires an overwhelming computational effort of O ( L 6 )  for each RNA pair. Such an extremely high computational complexity makes these methods impractical for large-scale analysis despite their accurate alignment capabilities.<h4>Results</h","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Nov","modification":"2026-06-03T01:02:00.4Z","creation":"2025-04-04T12:01:24.187Z"},"accession":"S-EPMC11539752","cross_references":{"pubmed":["39501155"],"doi":["10.1186/s12859-024-05956-7"]}}