{"id":"https://openalex.org/W2108758461","doi":"https://doi.org/10.1186/1471-2105-11-149","title":"Apples and oranges: avoiding different priors in Bayesian DNA sequence analysis","display_name":"Apples and oranges: avoiding different priors in Bayesian DNA sequence analysis","publication_year":2010,"publication_date":"2010-03-22","ids":{"openalex":"https://openalex.org/W2108758461","doi":"https://doi.org/10.1186/1471-2105-11-149","mag":"2108758461","pmid":"https://pubmed.ncbi.nlm.nih.gov/20307305"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-11-149","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-11-149","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-11-149","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-11-149","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043314247","display_name":"Jens Keilwagen","orcid":"https://orcid.org/0000-0002-6792-7076"},"institutions":[{"id":"https://openalex.org/I4210127902","display_name":"Leibniz Institute of Plant Genetics and Crop Plant Research","ror":"https://ror.org/02skbsp27","country_code":"DE","type":"facility","lineage":["https://openalex.org/I315704651","https://openalex.org/I4210127902"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jens Keilwagen","raw_affiliation_strings":["Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany. Jens.Keilwagen@ipk-gatersleben.de","Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany"],"affiliations":[{"raw_affiliation_string":"Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany. Jens.Keilwagen@ipk-gatersleben.de","institution_ids":["https://openalex.org/I4210127902"]},{"raw_affiliation_string":"Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany","institution_ids":["https://openalex.org/I4210127902"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004883555","display_name":"Jan Grau","orcid":"https://orcid.org/0000-0003-2081-6405"},"institutions":[{"id":"https://openalex.org/I68956291","display_name":"Martin Luther University Halle-Wittenberg","ror":"https://ror.org/05gqaka33","country_code":"DE","type":"education","lineage":["https://openalex.org/I68956291"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jan Grau","raw_affiliation_strings":["Institute of Computer Science, Martin Luther University Halle-Wittenberg, Halle/Saale, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Martin Luther University Halle-Wittenberg, Halle/Saale, Germany","institution_ids":["https://openalex.org/I68956291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019561227","display_name":"Stefan Posch","orcid":"https://orcid.org/0000-0002-2688-8701"},"institutions":[{"id":"https://openalex.org/I68956291","display_name":"Martin Luther University Halle-Wittenberg","ror":"https://ror.org/05gqaka33","country_code":"DE","type":"education","lineage":["https://openalex.org/I68956291"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Posch","raw_affiliation_strings":["Institute of Computer Science, Martin Luther University Halle-Wittenberg, Halle/Saale, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Martin Luther University Halle-Wittenberg, Halle/Saale, Germany","institution_ids":["https://openalex.org/I68956291"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017744726","display_name":"Ivo Gro\u00dfe","orcid":"https://orcid.org/0000-0001-5318-4825"},"institutions":[{"id":"https://openalex.org/I68956291","display_name":"Martin Luther University Halle-Wittenberg","ror":"https://ror.org/05gqaka33","country_code":"DE","type":"education","lineage":["https://openalex.org/I68956291"]},{"id":"https://openalex.org/I4210127902","display_name":"Leibniz Institute of Plant Genetics and Crop Plant Research","ror":"https://ror.org/02skbsp27","country_code":"DE","type":"facility","lineage":["https://openalex.org/I315704651","https://openalex.org/I4210127902"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ivo Grosse","raw_affiliation_strings":["Institute of Computer Science, Martin Luther University Halle-Wittenberg, Halle/Saale, Germany","Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Martin Luther University Halle-Wittenberg, Halle/Saale, Germany","institution_ids":["https://openalex.org/I68956291"]},{"raw_affiliation_string":"Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany","institution_ids":["https://openalex.org/I4210127902"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043314247"],"corresponding_institution_ids":["https://openalex.org/I4210127902"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":2.3477,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.89990885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"11","issue":"1","first_page":"149","last_page":"149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9983999729156494,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9937000274658203,"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/T10222","display_name":"Genomics and Chromatin Dynamics","score":0.9858999848365784,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5929789543151855},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5307759046554565},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.5057415962219238},{"id":"https://openalex.org/keywords/dna-binding-site","display_name":"DNA binding site","score":0.4837498664855957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4773036241531372},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4439808428287506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4110940098762512},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37330716848373413},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3678433299064636},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3586474061012268},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.2881379723548889},{"id":"https://openalex.org/keywords/promoter","display_name":"Promoter","score":0.11453649401664734},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.09544357657432556}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5929789543151855},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5307759046554565},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5057415962219238},{"id":"https://openalex.org/C3662595","wikidata":"https://www.wikidata.org/wiki/Q5205743","display_name":"DNA binding site","level":5,"score":0.4837498664855957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4773036241531372},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4439808428287506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4110940098762512},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37330716848373413},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3678433299064636},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3586474061012268},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.2881379723548889},{"id":"https://openalex.org/C101762097","wikidata":"https://www.wikidata.org/wiki/Q224093","display_name":"Promoter","level":4,"score":0.11453649401664734},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.09544357657432556},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.0}],"mesh":[{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001665","descriptor_name":"Binding Sites","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001665","descriptor_name":"Binding Sites","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001665","descriptor_name":"Binding Sites","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004247","descriptor_name":"DNA","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D004247","descriptor_name":"DNA","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D004247","descriptor_name":"DNA","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016415","descriptor_name":"Sequence Alignment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016415","descriptor_name":"Sequence Alignment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016415","descriptor_name":"Sequence Alignment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/1471-2105-11-149","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-11-149","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-11-149","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:20307305","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20307305","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:doaj.org/article:7990ef25cb6645a295f82d88629551c2","is_oa":true,"landing_page_url":"https://doaj.org/article/7990ef25cb6645a295f82d88629551c2","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 11, Iss 1, p 149 (2010)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:2859755","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2859755","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-11-149","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-11-149","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-11-149","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2108758461.pdf","grobid_xml":"https://content.openalex.org/works/W2108758461.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W29250835","https://openalex.org/W69783652","https://openalex.org/W995630646","https://openalex.org/W1500856388","https://openalex.org/W1506806321","https://openalex.org/W1510976864","https://openalex.org/W1521843029","https://openalex.org/W1542491098","https://openalex.org/W1547246444","https://openalex.org/W1571206585","https://openalex.org/W1663973292","https://openalex.org/W1719651905","https://openalex.org/W1966354073","https://openalex.org/W1973452851","https://openalex.org/W1976526581","https://openalex.org/W1978304080","https://openalex.org/W1981276685","https://openalex.org/W2002751193","https://openalex.org/W2029722028","https://openalex.org/W2029873987","https://openalex.org/W2031357797","https://openalex.org/W2034691490","https://openalex.org/W2035564383","https://openalex.org/W2057000344","https://openalex.org/W2086240273","https://openalex.org/W2094036688","https://openalex.org/W2096175520","https://openalex.org/W2099961908","https://openalex.org/W2101025813","https://openalex.org/W2110863141","https://openalex.org/W2114521167","https://openalex.org/W2117495697","https://openalex.org/W2123157758","https://openalex.org/W2125562688","https://openalex.org/W2126598626","https://openalex.org/W2127941101","https://openalex.org/W2131000278","https://openalex.org/W2134314200","https://openalex.org/W2135243774","https://openalex.org/W2137587467","https://openalex.org/W2141408320","https://openalex.org/W2145992497","https://openalex.org/W2149096772","https://openalex.org/W2151945801","https://openalex.org/W2152425721","https://openalex.org/W2163614729","https://openalex.org/W2166187656","https://openalex.org/W2170112109","https://openalex.org/W2211621381","https://openalex.org/W2356183642","https://openalex.org/W2999905431","https://openalex.org/W3136726919","https://openalex.org/W4231741839","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W2135187896","https://openalex.org/W2015518264","https://openalex.org/W2562263695","https://openalex.org/W3160546271","https://openalex.org/W2147201983","https://openalex.org/W2795035211","https://openalex.org/W2168271748","https://openalex.org/W2160108762","https://openalex.org/W1718066205"],"abstract_inverted_index":{"We":[0,34],"find":[1],"that":[2],"comparisons":[3],"of":[4,20,54,61],"different":[5,17,29,55],"learning":[6,56],"principles":[7,57],"using":[8],"the":[9,25,36,42,59],"same":[10],"a-priori":[11],"information":[12],"can":[13],"lead":[14],"to":[15,46,51],"conclusions":[16],"from":[18,28],"those":[19],"previous":[21],"studies":[22,53],"in":[23,41,58],"which":[24],"effect":[26],"resulting":[27],"priors":[30],"has":[31],"been":[32],"neglected.":[33],"implement":[35],"derived":[37],"prior":[38],"is":[39],"implemented":[40],"open-source":[43],"library":[44],"Jstacs":[45],"enable":[47],"an":[48],"easy":[49],"application":[50],"comparative":[52],"field":[60],"sequence":[62],"analysis.":[63]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}