{"links":{},"id":197712,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00197712","sets":["1164:2735:9724:9827"]},"path":["9827"],"owner":"44499","recid":"197712","title":["HT-SELEX法を用いた核酸アプタマー推定のためのクラスタリング手法の高速化"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-06-10"},"_buckets":{"deposit":"c8c0a6df-35d9-4e8a-bb83-5273e2b54806"},"_deposit":{"id":"197712","pid":{"type":"depid","value":"197712","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"HT-SELEX法を用いた核酸アプタマー推定のためのクラスタリング手法の高速化","author_link":["475009","475008","475006","475013","475010","475007","475012","475011"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"HT-SELEX法を用いた核酸アプタマー推定のためのクラスタリング手法の高速化"},{"subitem_title":"Accelerating a clustering method for aptamer estimation using HT-SELEX","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2019-06-10","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東北大学大学院情報科学研究科"},{"subitem_text_value":"NECソリューションイノベータ株式会社／東北大学大学院情報科学研究科"},{"subitem_text_value":"東北大学大学院情報科学研究科"},{"subitem_text_value":"NECソリューションイノベータ株式会社"},{"subitem_text_value":"NECソリューションイノベータ株式会社"},{"subitem_text_value":"NECソリューションイノベータ株式会社"},{"subitem_text_value":"NECソリューションイノベータ株式会社"},{"subitem_text_value":"東北大学大学院情報科学研究科"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/197712/files/IPSJ-MPS19123050.pdf","label":"IPSJ-MPS19123050.pdf"},"date":[{"dateType":"Available","dateValue":"2021-06-10"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MPS19123050.pdf","filesize":[{"value":"430.5 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"17"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"d2560583-6b64-4cd8-968f-ea7c501b7b2e","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"小野, 貴義"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"加藤, 信太郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"伊藤, 康一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"皆川, 宏貴"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"堀井, 克紀"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"白鳥, 行大"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"和賀, 巌"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"青木, 孝文"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10505667","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8833","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"アプタマーは，高親和性・特異性により標的分子と結合する核酸分子のことであり，Systematic Evolution of Ligands by EXponential enrichment (SELEX)法と次世代シーケンシング(Next-Generation Sequencing: NGS)を組み合わせたHigh-Throughput SELEX (HT-SELEX)法を用いて核酸ライブラリの中から選択される．HT-SELEX法から得られる大量の配列データには，標的に対する親和性が低い配列も多く含まれている．それらの中からアプタマー候補を選択するために，Fast Motif-Based Clustering method (FMBC)を開発した．FMBCにおいてモチーフ推定が全体の処理時間の大半を占めるが，各モチーフのスコア算出が互いに独立であるため，並列化が可能である．本研究では，並列処理によりFMBCを高速化する．公開データを用いた評価実験により，従来よりも最大で約50倍に高速化したことを示す．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告数理モデル化と問題解決（MPS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2019-06-10","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"50","bibliographicVolumeNumber":"2019-MPS-123"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:02:08.645487+00:00","updated":"2025-01-19T22:14:19.742501+00:00"}