<b>Minimal repeats identified by machine learning as novel cross-species markers of translation initiation sites</b>
<p dir="ltr">Statistical approaches indicate that tandem repeats (TRs) play a crucial regulatory role in translation initiation site (TIS) selection and proteomic diversity.<b> </b>By leveraging machine learning techniques, we enhanced the previous approaches and investig...
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2025
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| _version_ | 1849927625216098304 |
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| author | Ali Mohammad Ali Maddi (11301486) |
| author_facet | Ali Mohammad Ali Maddi (11301486) |
| author_role | author |
| dc.creator.none.fl_str_mv | Ali Mohammad Ali Maddi (11301486) |
| dc.date.none.fl_str_mv | 2025-11-26T00:17:48Z |
| dc.identifier.none.fl_str_mv | 10.6084/m9.figshare.28934366.v2 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/_b_Minimal_repeats_identified_by_interpretable_machine_learning_as_novel_cross-species_markers_of_translation_initiation_sites_b_/28934366 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Bioinformatic methods development Minimal Repeat Tandem Repeat TIS Detection Feature Selection Machine Learning Genomic Pattern Recognition Translation Initiation Site |
| dc.title.none.fl_str_mv | <b>Minimal repeats identified by machine learning as novel cross-species markers of translation initiation sites</b> |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p dir="ltr">Statistical approaches indicate that tandem repeats (TRs) play a crucial regulatory role in translation initiation site (TIS) selection and proteomic diversity.<b> </b>By leveraging machine learning techniques, we enhanced the previous approaches and investigated the impact of the TR spectrum, ranging from 2 to 85 repeats on TIS selection across four species, consisting of human, mouse, bovine, and fruit fly.<b> </b>We identified a subset of 50 key motifs that effectively distinguish TIS-present from TIS-absent regions with high accuracy. The majority of these motif sequences (80 %) were minimal repeats (MRs), mainly ranging from 2 to 3 repeats. We found evolutionary conservation of the majority of these motifs, underscoring their functional importance, while certain species-specific MRs served as genomic fingerprints, reflecting unique regulatory adaptations. Additionally, the dense distribution of MRs around TISs highlighted their potential as genomic codes for identifying TIS hotspots.<b> </b>This study signified that alongside TRs, MRs are key genomic markers for TIS selection, offering insights into their biological roles and evolutionary significance. The mechanistic aspects of MRs/TRs are yet to be discovered in future studies.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_6eee9f1060b2213634d5c1c2ee0e6a16 |
| identifier_str_mv | 10.6084/m9.figshare.28934366.v2 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28934366 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | <b>Minimal repeats identified by machine learning as novel cross-species markers of translation initiation sites</b>Ali Mohammad Ali Maddi (11301486)Bioinformatic methods developmentMinimal RepeatTandem RepeatTIS DetectionFeature SelectionMachine LearningGenomic Pattern RecognitionTranslation Initiation Site<p dir="ltr">Statistical approaches indicate that tandem repeats (TRs) play a crucial regulatory role in translation initiation site (TIS) selection and proteomic diversity.<b> </b>By leveraging machine learning techniques, we enhanced the previous approaches and investigated the impact of the TR spectrum, ranging from 2 to 85 repeats on TIS selection across four species, consisting of human, mouse, bovine, and fruit fly.<b> </b>We identified a subset of 50 key motifs that effectively distinguish TIS-present from TIS-absent regions with high accuracy. The majority of these motif sequences (80 %) were minimal repeats (MRs), mainly ranging from 2 to 3 repeats. We found evolutionary conservation of the majority of these motifs, underscoring their functional importance, while certain species-specific MRs served as genomic fingerprints, reflecting unique regulatory adaptations. Additionally, the dense distribution of MRs around TISs highlighted their potential as genomic codes for identifying TIS hotspots.<b> </b>This study signified that alongside TRs, MRs are key genomic markers for TIS selection, offering insights into their biological roles and evolutionary significance. The mechanistic aspects of MRs/TRs are yet to be discovered in future studies.</p>2025-11-26T00:17:48ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.6084/m9.figshare.28934366.v2https://figshare.com/articles/dataset/_b_Minimal_repeats_identified_by_interpretable_machine_learning_as_novel_cross-species_markers_of_translation_initiation_sites_b_/28934366CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/289343662025-11-26T00:17:48Z |
| spellingShingle | <b>Minimal repeats identified by machine learning as novel cross-species markers of translation initiation sites</b> Ali Mohammad Ali Maddi (11301486) Bioinformatic methods development Minimal Repeat Tandem Repeat TIS Detection Feature Selection Machine Learning Genomic Pattern Recognition Translation Initiation Site |
| status_str | publishedVersion |
| title | <b>Minimal repeats identified by machine learning as novel cross-species markers of translation initiation sites</b> |
| title_full | <b>Minimal repeats identified by machine learning as novel cross-species markers of translation initiation sites</b> |
| title_fullStr | <b>Minimal repeats identified by machine learning as novel cross-species markers of translation initiation sites</b> |
| title_full_unstemmed | <b>Minimal repeats identified by machine learning as novel cross-species markers of translation initiation sites</b> |
| title_short | <b>Minimal repeats identified by machine learning as novel cross-species markers of translation initiation sites</b> |
| title_sort | <b>Minimal repeats identified by machine learning as novel cross-species markers of translation initiation sites</b> |
| topic | Bioinformatic methods development Minimal Repeat Tandem Repeat TIS Detection Feature Selection Machine Learning Genomic Pattern Recognition Translation Initiation Site |