{"_buckets": {"deposit": "46de7fbf-af54-4a28-ba24-be9f002dec46"}, "_deposit": {"id": "4414", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4414"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4414", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Efficient Mining Algorithm for Protein Sequence Alignment", "subitem_1551255648112": "en_US"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Bioinformatics is the study and application ofcomputational methods to life sciences data and theapplication of information technology to store,organize and analyze the vast amount of biologicaldata. Protein sequence alignment is one of the crucialtasks of computational biology which forms the basis ofmany other tasks like protein structure prediction,protein function prediction and phylogeneticanalysis. Alignment algorithms are needed to comparetwo or more sequences. Pairwise sequence alignmentis concerned with comparing two Protein or DNAsequences - finding the global and local “optimumalignment” of the two sequences. Multiple sequencealignment (MSA) is a key step in elucidatingevolutionary relationships, annotating newlysequenced segments, and understanding therelationship between biological sequences. So,pairwise alignment algorithm for protein sequences isproposed. Genetic algorithm with Bi-DirectionalExtension (BIDE), an efficient algorithm for miningfrequent closed sequences, is used for multiplesequence alignment."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value": []}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-10-25"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Efficient Mining Algorithm for Protein Sequence Alignment.pdf", "filesize": [{"value": "722 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 722000.0, "url": {"url": "https://meral.edu.mm/record/4414/files/Efficient Mining Algorithm for Protein Sequence Alignment.pdf"}, "version_id": "512b45cb-ad7e-436b-a175-c720f782c158"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Thirteenth International Conference On Computer Applications (ICCA 2015)", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Thu, Pyae Phyo"}, {"subitem_authors_fullname": "Lynn, Khin Thidar"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2015-02-05"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/2349"}, "item_title": "Efficient Mining Algorithm for Protein Sequence Alignment", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004414", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-10-25"}, "publish_date": "2019-10-25", "publish_status": "0", "recid": "4414", "relation": {}, "relation_version_is_last": true, "title": ["Efficient Mining Algorithm for Protein Sequence Alignment"], "weko_shared_id": -1}