{"id":"https://openalex.org/W2406453539","doi":"https://doi.org/10.1201/b18050-9","title":"\u25fe Multiple Sequence Alignment and Clustering with Dot Matrices, Entropy, and Genetic Algorithms","display_name":"\u25fe Multiple Sequence Alignment and Clustering with Dot Matrices, Entropy, and Genetic Algorithms","publication_year":2015,"publication_date":"2015-02-23","ids":{"openalex":"https://openalex.org/W2406453539","doi":"https://doi.org/10.1201/b18050-9","mag":"2406453539"},"language":"en","primary_location":{"id":"doi:10.1201/b18050-9","is_oa":false,"landing_page_url":"https://doi.org/10.1201/b18050-9","pdf_url":null,"source":{"id":"https://openalex.org/S4210226731","display_name":"Big Data","issn_l":"2167-6461","issn":["2167-6461","2167-647X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320443","host_organization_name":"Mary Ann Liebert, Inc.","host_organization_lineage":["https://openalex.org/P4310320443"],"host_organization_lineage_names":["Mary Ann Liebert, Inc."],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2039,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80952381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"108","last_page":"127"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.564842164516449},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.559197187423706},{"id":"https://openalex.org/keywords/multiple-sequence-alignment","display_name":"Multiple sequence alignment","score":0.49393588304519653},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.49199220538139343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44958025217056274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19047671556472778},{"id":"https://openalex.org/keywords/sequence-alignment","display_name":"Sequence alignment","score":0.14865759015083313},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.1482352912425995},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12370908260345459},{"id":"https://openalex.org/keywords/peptide-sequence","display_name":"Peptide sequence","score":0.049912989139556885}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.564842164516449},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.559197187423706},{"id":"https://openalex.org/C88031987","wikidata":"https://www.wikidata.org/wiki/Q1377767","display_name":"Multiple sequence alignment","level":5,"score":0.49393588304519653},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.49199220538139343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44958025217056274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19047671556472778},{"id":"https://openalex.org/C45484198","wikidata":"https://www.wikidata.org/wiki/Q827246","display_name":"Sequence alignment","level":4,"score":0.14865759015083313},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.1482352912425995},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12370908260345459},{"id":"https://openalex.org/C167625842","wikidata":"https://www.wikidata.org/wiki/Q899763","display_name":"Peptide sequence","level":3,"score":0.049912989139556885},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1201/b18050-9","is_oa":false,"landing_page_url":"https://doi.org/10.1201/b18050-9","pdf_url":null,"source":{"id":"https://openalex.org/S4210226731","display_name":"Big Data","issn_l":"2167-6461","issn":["2167-6461","2167-647X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320443","host_organization_name":"Mary Ann Liebert, Inc.","host_organization_lineage":["https://openalex.org/P4310320443"],"host_organization_lineage_names":["Mary Ann Liebert, Inc."],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2022788172"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2317200988","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278"],"abstract_inverted_index":{"ABSTRACT":[0],"e":[1,32,138],"purpose":[2],"of":[3,11,39,71],"this":[4],"project":[5],"is":[6,51,65],"to":[7,67],"present":[8],"a":[9,131],"set":[10],"algorithms":[12,42],"and":[13,21,36,80,98,136],"their":[14],"eciency":[15],"for":[16,44,78,134],"Multiple":[17],"Sequence":[18],"Alignment":[19],"(MSA)":[20],"clustering":[22],"problems,":[23],"including":[24],"also":[25],"solutions":[26],"in":[27,57],"distributive":[28],"environments":[29],"with":[30,114],"Hadoop.":[31],"strength,":[33],"the":[34,37,40,53,68,115],"adaptability,":[35],"eectiveness":[38],"genetic":[41],"(GAs)":[43],"both":[45],"problems":[46],"are":[47,75],"pointed":[48],"out.":[49],"MSA":[50,135],"among":[52],"most":[54],"important":[55],"tasks":[56],"computational":[58],"biology.":[59],"In":[60],"biological":[61],"sequence":[62],"comparison,":[63],"emphasis":[64],"given":[66],"simultaneous":[69],"alignment":[70],"several":[72],"sequences.":[73],"GAs":[74,102],"stochastic":[76],"approaches":[77],"ecient":[79],"robust":[81],"search":[82],"that":[83],"can":[84],"play":[85],"CONTENTS":[86],"4.1":[87],"Introduction":[88],"72":[89],"4.2":[90],"CDM":[91],"74":[92],"4.3":[93],"PEA":[94],"76":[95],"4.4":[96],"Divide":[97],"Conquer":[99],"79":[100,103],"4.5":[101],"4.6":[104],"DCGA":[105],"80":[106],"4.7":[107],"K-Means":[108],"81":[109,118],"4.8":[110],"Clustering":[111],"Genetic":[112],"Algorithm":[113],"SSE":[116],"Criterion":[117],"4.9":[119],"MapReduce":[120],"Section":[121],"83":[122,125],"4.10":[123],"Simulation":[124],"4.11":[126],"Conclusion":[127],"87":[128,130],"References":[129],"signicant":[132],"role":[133],"clustering.":[137],"divide-and-conquer":[139],"principle":[140],"ensures":[141],"undisturbed":[142],"consistency":[143],"during":[144],"vertical":[145],"sequences\u2019":[146],"segmentations.":[147]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}