{"id":"https://openalex.org/W1602466807","doi":"https://doi.org/10.1007/978-3-662-01131-7_8","title":"Modelling Bacterial Genomes Using Hidden Markov Models","display_name":"Modelling Bacterial Genomes Using Hidden Markov Models","publication_year":1998,"publication_date":"1998-01-01","ids":{"openalex":"https://openalex.org/W1602466807","doi":"https://doi.org/10.1007/978-3-662-01131-7_8","mag":"1602466807"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-662-01131-7_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-662-01131-7_8","pdf_url":null,"source":{"id":"https://openalex.org/S4306506691","display_name":"COMPSTAT","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"COMPSTAT","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":[{"author_position":"first","author":{"id":"https://openalex.org/A5061453801","display_name":"Florence Muri","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Florence Muri","raw_affiliation_strings":["Laboratoire de Statistique M\u00e9dicale, UA CNRS 1323, Universit\u00e9 Paris V, 45 rue des Saints-P\u00e8res, 75006, Paris, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire de Statistique M\u00e9dicale, UA CNRS 1323, Universit\u00e9 Paris V, 45 rue des Saints-P\u00e8res, 75006, Paris, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5061453801"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I204730241"],"apc_list":null,"apc_paid":null,"fwci":3.238,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.93392525,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"89","last_page":"100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9983999729156494,"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":0.9983999729156494,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9884999990463257,"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"}},{"id":"https://openalex.org/T10012","display_name":"Genetic diversity and population structure","score":0.9753000140190125,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.7972514629364014},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.74703049659729},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6070122718811035},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.5936718583106995},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.5623494982719421},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.5617769360542297},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5601762533187866},{"id":"https://openalex.org/keywords/genome","display_name":"Genome","score":0.5470588207244873},{"id":"https://openalex.org/keywords/bacterial-genome-size","display_name":"Bacterial genome size","score":0.498288631439209},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.4848855435848236},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.43123775720596313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33864185214042664},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.29689449071884155},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.2374718189239502},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23007214069366455},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21463066339492798},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.12202835083007812},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0812985897064209},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.05981627106666565}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7972514629364014},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.74703049659729},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6070122718811035},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.5936718583106995},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.5623494982719421},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5617769360542297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5601762533187866},{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.5470588207244873},{"id":"https://openalex.org/C3742359","wikidata":"https://www.wikidata.org/wiki/Q4839988","display_name":"Bacterial genome size","level":4,"score":0.498288631439209},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.4848855435848236},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.43123775720596313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33864185214042664},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.29689449071884155},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.2374718189239502},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23007214069366455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21463066339492798},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.12202835083007812},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0812985897064209},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.05981627106666565},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-662-01131-7_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-662-01131-7_8","pdf_url":null,"source":{"id":"https://openalex.org/S4306506691","display_name":"COMPSTAT","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"COMPSTAT","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":12,"referenced_works":["https://openalex.org/W1548255083","https://openalex.org/W1966083328","https://openalex.org/W1968063294","https://openalex.org/W1971912858","https://openalex.org/W1981367467","https://openalex.org/W2007321142","https://openalex.org/W2010235018","https://openalex.org/W2020999234","https://openalex.org/W2049633694","https://openalex.org/W2086699924","https://openalex.org/W2125838338","https://openalex.org/W6659547521"],"related_works":["https://openalex.org/W1510894296","https://openalex.org/W2134386692","https://openalex.org/W2194396582","https://openalex.org/W2799426416","https://openalex.org/W2566202039","https://openalex.org/W3126873283","https://openalex.org/W2540690809","https://openalex.org/W2393621008","https://openalex.org/W2129435535","https://openalex.org/W2353273130"],"abstract_inverted_index":{"Long":[0],"DNA":[1],"sequences":[2],"are":[3,11],"often":[4],"heterogeneous":[5],"in":[6],"composition.":[7],"Hidden":[8],"Markov":[9,30],"models":[10],"then":[12],"good":[13],"statistical":[14],"tools":[15],"to":[16,36,39],"identify":[17],"homogeneous":[18],"regions":[19],"of":[20],"the":[21,41],"sequences.":[22],"We":[23],"compare":[24],"different":[25],"identification":[26],"algorithms":[27],"for":[28],"hidden":[29],"chains":[31],"and":[32],"present":[33],"some":[34],"applications":[35],"bacterial":[37],"genomes":[38],"illustrate":[40],"method.":[42]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}