{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T17:48:32Z","timestamp":1773078512070,"version":"3.50.1"},"reference-count":59,"publisher":"Oxford University Press (OUP)","issue":"22","license":[{"start":{"date-parts":[[2017,7,14]],"date-time":"2017-07-14T00:00:00Z","timestamp":1499990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/about_us\/legal\/notices"}],"funder":[{"DOI":"10.13039\/100000015","name":"U.S. Department of Energy","doi-asserted-by":"publisher","award":["DE-SC0008091"],"award-info":[{"award-number":["DE-SC0008091"]}],"id":[{"id":"10.13039\/100000015","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,11,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>In a genome-scale metabolic model, the biomass produced is defined to have a molecular weight (MW) of 1\u2009g mmol\u22121. This is critical for correctly predicting growth yields, contrasting multiple models and more importantly modeling microbial communities. However, the standard is rarely verified in the current practice and the chemical formulae of biomass components such as proteins, nucleic acids and lipids are often represented by undefined side groups (e.g. X, R).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>We introduced a systematic procedure for checking the biomass weight and ensuring complete mass balance of a model. We identified significant departures after examining 64 published models. The biomass weights of 34 models differed by 5\u201350%, while 8 models have discrepancies &amp;gt;50%. In total 20 models were manually curated. By maximizing the original versus corrected biomass reactions, flux balance analysis revealed &amp;gt;10% differences in growth yields for 12 of the curated models. Biomass MW discrepancies are accentuated in microbial community simulations as they can cause significant and systematic errors in the community composition. Microbes with underestimated biomass MWs are overpredicted in the community whereas microbes with overestimated biomass weights are underpredicted. The observed departures in community composition are disproportionately larger than the discrepancies in the biomass weight estimate. We propose the presented procedure as a standard practice for metabolic reconstructions.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>The MALTAB and Python scripts are available in the Supplementary Material.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btx453","type":"journal-article","created":{"date-parts":[[2017,7,12]],"date-time":"2017-07-12T11:20:01Z","timestamp":1499858401000},"page":"3603-3609","source":"Crossref","is-referenced-by-count":103,"title":["Standardizing biomass reactions and ensuring complete mass balance in genome-scale metabolic models"],"prefix":"10.1093","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7707-656X","authenticated-orcid":false,"given":"Siu H J","family":"Chan","sequence":"first","affiliation":[{"name":"Department of Chemical Engineering, The Pennsylvania State University, University Park, PA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingyi","family":"Cai","sequence":"additional","affiliation":[{"name":"Beijing Key Lab of Bioprocess, College of Life and Science and Technology, Beijing University of Chemical Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Chemical Engineering, The Pennsylvania State University, University Park, PA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3010-229X","authenticated-orcid":false,"given":"Margaret N","family":"Simons-Senftle","sequence":"additional","affiliation":[{"name":"Department of Chemical Engineering, The Pennsylvania State University, University Park, PA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Costas D","family":"Maranas","sequence":"additional","affiliation":[{"name":"Department of Chemical Engineering, The Pennsylvania State University, University Park, PA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2017,7,14]]},"reference":[{"key":"2023051401043069400_btx453-B1","doi-asserted-by":"crossref","first-page":"29480","DOI":"10.1074\/jbc.M109.005868","article-title":"Genome scale reconstruction of a salmonella metabolic model: comparison of similarity and differences with a commensal Escherichia coli strain","volume":"284","author":"AbuOun","year":"2009","journal-title":"J. Biol. Chem"},{"key":"2023051401043069400_btx453-B2","doi-asserted-by":"crossref","first-page":"9.","DOI":"10.1186\/1471-2164-12-9","article-title":"The genome sequence of E. coli W (ATCC 9637): comparative genome analysis and an improved genome-scale reconstruction of E. coli","volume":"12","author":"Archer","year":"2011","journal-title":"BMC Genomics"},{"key":"2023051401043069400_btx453-B3","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1089\/ind.2013.0013","article-title":"Revising the representation of fatty acid, glycerolipid, and glycerophospholipid metabolism in the consensus model of yeast metabolism","volume":"9","author":"Aung","year":"2013","journal-title":"Ind. Biotechnol"},{"key":"2023051401043069400_btx453-B4","doi-asserted-by":"crossref","first-page":"422","DOI":"10.1038\/msb.2010.68","article-title":"Insight into human alveolar macrophage and M. tuberculosis interactions via metabolic reconstructions","volume":"6","author":"Bordbar","year":"2010","journal-title":"Mol. Syst. Biol"},{"key":"2023051401043069400_btx453-B5","doi-asserted-by":"crossref","first-page":"D471","DOI":"10.1093\/nar\/gkv1164","article-title":"The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway\/genome databases","volume":"44","author":"Caspi","year":"2016","journal-title":"Nucleic Acids Res"},{"key":"2023051401043069400_btx453-B6","doi-asserted-by":"crossref","first-page":"e1005539.","DOI":"10.1371\/journal.pcbi.1005539","article-title":"SteadyCom: Predicting microbial abundances while ensuring community stability","volume":"13","author":"Chan","year":"2017","journal-title":"PLOS Comput. Biol"},{"key":"2023051401043069400_btx453-B7","doi-asserted-by":"crossref","first-page":"144.","DOI":"10.1186\/s13068-014-0144-4","article-title":"Capturing the response of Clostridium acetobutylicumto chemical stressors using a regulated genome-scale metabolic model","volume":"7","author":"Dash","year":"2014","journal-title":"Biotechnol. Biofuels"},{"key":"2023051401043069400_btx453-B8","doi-asserted-by":"crossref","first-page":"831.","DOI":"10.15252\/msb.20156157","article-title":"Do genome-scale models need exact solvers or clearer standards\u202f?","volume":"11","author":"Ebrahim","year":"2015","journal-title":"Mol. Syst. Biol"},{"key":"2023051401043069400_btx453-B9","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1186\/1752-0509-8-41","article-title":"Genome-scale metabolic reconstructions of Bifidobacterium adolescentis L2-32 and Faecalibacterium prausnitzii A2-165 and their interaction","volume":"8","author":"El-Semman","year":"2014","journal-title":"BMC Syst. Biol"},{"key":"2023051401043069400_btx453-B10","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1038\/msb4100155","article-title":"A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information","volume":"3","author":"Feist","year":"2007","journal-title":"Mol. Syst. Biol"},{"key":"2023051401043069400_btx453-B11","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/j.ymben.2009.10.003","article-title":"Model-driven evaluation of the production potential for growth-coupled products of Escherichia coli","volume":"12","author":"Feist","year":"2010","journal-title":"Metab. Eng"},{"key":"2023051401043069400_btx453-B12","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1016\/j.mib.2010.03.003","article-title":"The biomass objective function","volume":"13","author":"Feist","year":"2010","journal-title":"Curr. Opin. Microbiol"},{"key":"2023051401043069400_btx453-B13","doi-asserted-by":"crossref","first-page":"8729","DOI":"10.1007\/s00253-013-5140-2","article-title":"Genome-scale metabolic model for Lactococcus lactis MG1363 and its application to the analysis of flavor formation","volume":"97","author":"Flahaut","year":"2013","journal-title":"Appl. Microbiol. Biotechnol"},{"key":"2023051401043069400_btx453-B14","doi-asserted-by":"crossref","DOI":"10.1093\/nar\/gkr874","article-title":"EQuilibrator - The biochemical thermodynamics calculator","volume":"40","author":"Flamholz","year":"2012","journal-title":"Nucleic Acids Res"},{"key":"2023051401043069400_btx453-B15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jtbi.2016.06.033","article-title":"Conditions for duality between fluxes and concentrations in biochemical networks","volume":"409","author":"Fleming","year":"2016","journal-title":"J. Theor. Biol"},{"key":"2023051401043069400_btx453-B16","doi-asserted-by":"crossref","first-page":"1056","DOI":"10.1038\/ng1432","article-title":"Metabolic gene-deletion strains of Escherichia coli evolve to computationally predicted growth phenotypes","volume":"36","author":"Fong","year":"2004","journal-title":"Nat. Genet"},{"key":"2023051401043069400_btx453-B17","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1101\/gr.234503","article-title":"Genome-scale reconstruction of the Saccharomyces cerevisiae metabolic network","volume":"13","author":"F\u00f6rster","year":"2003","journal-title":"Genome Res"},{"key":"2023051401043069400_btx453-B18","doi-asserted-by":"crossref","first-page":"2245","DOI":"10.1093\/bioinformatics\/btn425","article-title":"Detection of stoichiometric inconsistencies in biomolecular models","volume":"24","author":"Gevorgyan","year":"2008","journal-title":"Bioinformatics"},{"key":"2023051401043069400_btx453-B19","doi-asserted-by":"crossref","first-page":"1104","DOI":"10.1016\/j.celrep.2014.03.070","article-title":"Metabolic resource allocation in individual microbes determines ecosystem interactions and spatial dynamics","volume":"7","author":"Harcombe","year":"2014","journal-title":"Cell Rep"},{"key":"2023051401043069400_btx453-B20","doi-asserted-by":"crossref","first-page":"3289","DOI":"10.1128\/JB.01780-14","article-title":"Functional metabolic map of Faecalibacterium prausnitzii, a beneficial human gut microbe","volume":"196","author":"Heinken","year":"2014","journal-title":"J. Bacteriol"},{"key":"2023051401043069400_btx453-B21","doi-asserted-by":"crossref","first-page":"28","DOI":"10.4161\/gmic.22370","article-title":"Systems-level characterization of a host-microbe metabolic symbiosis in the mammalian gut","volume":"4","author":"Heinken","year":"2013","journal-title":"Gut Microbes"},{"key":"2023051401043069400_btx453-B22","doi-asserted-by":"crossref","first-page":"4049","DOI":"10.1128\/AEM.00101-15","article-title":"Anoxic conditions promote species-specific mutualism between gut microbes in silico","volume":"81","author":"Heinken","year":"2015","journal-title":"Appl. Environ. Microbiol"},{"key":"2023051401043069400_btx453-B23","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1080\/19490976.2015.1023494","article-title":"Systematic prediction of health-relevant human-microbial co-metabolism through a computational framework","volume":"6","author":"Heinken","year":"2015","journal-title":"Gut Microbes"},{"key":"2023051401043069400_btx453-B24","doi-asserted-by":"crossref","first-page":"977","DOI":"10.1038\/nbt.1672","article-title":"High-throughput generation, optimization and analysis of genome-scale metabolic models","volume":"28","author":"Henry","year":"2010","journal-title":"Nat. Biotechnol"},{"key":"2023051401043069400_btx453-B25","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1038\/nature11234","article-title":"Structure, function and diversity of the healthy human microbiome","volume":"486","author":"Huttenhower","year":"2012","journal-title":"Nature"},{"key":"2023051401043069400_btx453-B26","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1038\/nature01149","article-title":"Escherichia coli K-12 undergoes adaptive evolution to achieve in silico predicted optimal growth","volume":"420","author":"Ibarra","year":"2002","journal-title":"Nature"},{"key":"2023051401043069400_btx453-B27","doi-asserted-by":"crossref","first-page":"e64567.","DOI":"10.1371\/journal.pone.0064567","article-title":"Community flux balance analysis for microbial consortia at balanced growth","volume":"8","author":"Khandelwal","year":"2013","journal-title":"PLoS One"},{"key":"2023051401043069400_btx453-B28","doi-asserted-by":"crossref","first-page":"D515","DOI":"10.1093\/nar\/gkv1049","article-title":"BiGG Models: A platform for integrating, standardizing and sharing genome-scale models","volume":"44","author":"King","year":"2016","journal-title":"Nucleic Acids Res"},{"key":"2023051401043069400_btx453-B29","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1002\/bit.22067","article-title":"In silico genome-scale reconstruction and validation of the Corynebacterium glutamicum metabolic network","volume":"102","author":"Kjeldsen","year":"2009","journal-title":"Biotechnol. Bioeng"},{"key":"2023051401043069400_btx453-B30","doi-asserted-by":"crossref","first-page":"e1001002.","DOI":"10.1371\/journal.pcbi.1001002","article-title":"Environments that Induce Synthetic Microbial Ecosystems","volume":"6","author":"Klitgord","year":"2010","journal-title":"PLoS Comput. Biol"},{"key":"2023051401043069400_btx453-B31","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1038\/nrmicro2737","article-title":"Constraining the metabolic genotype\u2013phenotype relationship using a phylogeny of in silico methods","volume":"10","author":"Lewis","year":"2012","journal-title":"Nat. Rev. Microbiol"},{"key":"2023051401043069400_btx453-B32","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1038\/msb.2010.47","article-title":"Omic data from evolved E. coli are consistent with computed optimal growth from genome-scale models","volume":"6","author":"Lewis","year":"2010","journal-title":"Mol. Syst. Biol"},{"key":"2023051401043069400_btx453-B33","doi-asserted-by":"crossref","first-page":"1710","DOI":"10.1128\/JB.01218-10","article-title":"An experimentally validated genome-scale metabolic reconstruction of Klebsiella pneumoniae MGH 78578, iYL1228","volume":"193","author":"Liao","year":"2011","journal-title":"J. Bacteriol"},{"key":"2023051401043069400_btx453-B34","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1038\/nbt.3703","article-title":"Generation of genome-scale metabolic reconstructions for 773 members of the human gut microbiota","volume":"35","author":"Magn\u00fasd\u00f3ttir","year":"2016","journal-title":"Nat. Biotechnol"},{"key":"2023051401043069400_btx453-B35","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1128\/JB.01123-08","article-title":"Metabolic Network Model of a Human Oral Pathogen","volume":"191","author":"Mazumdar","year":"2009","journal-title":"J. Bacteriol"},{"key":"2023051401043069400_btx453-B36","first-page":"661\u2013661.","article-title":"Basic and applied uses of genome-scale metabolic network reconstructions of Escherichia coli","volume":"9","author":"McCloskey","year":"2014","journal-title":"Mol. Syst. Biol"},{"key":"2023051401043069400_btx453-B37","doi-asserted-by":"crossref","first-page":"41569","DOI":"10.1038\/srep41569","article-title":"Identifying the Metabolic Differences of a Fast-Growth Phenotype in Synechococcus UTEX 2973","volume":"7","author":"Mueller","year":"2017","journal-title":"Sci. Rep"},{"key":"2023051401043069400_btx453-B38","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1186\/s12934-015-0404-4","article-title":"Assessing methanotrophy and carbon fixation for biofuel production by Methanosarcina acetivorans","volume":"15","author":"Nazem-Bokaee","year":"2016","journal-title":"Microb. Cell Fact"},{"key":"2023051401043069400_btx453-B39","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1003098","article-title":"Consistent Estimation of Gibbs Energy Using Component Contributions","volume":"9","author":"Noor","year":"2013","journal-title":"PLoS Comput. Biol"},{"key":"2023051401043069400_btx453-B40","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1038\/msb.2011.65","article-title":"A comprehensive genome-scale reconstruction of Escherichia coli metabolism\u20132011","volume":"7","author":"Orth","year":"2011","journal-title":"Mol. Syst. Biol"},{"key":"2023051401043069400_btx453-B41","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1038\/nbt.1614","article-title":"What is flux balance analysis?","volume":"28","author":"Orth","year":"2010","journal-title":"Nat. Biotechnol"},{"key":"2023051401043069400_btx453-B42","doi-asserted-by":"crossref","first-page":"e51535.","DOI":"10.1371\/journal.pone.0051535","article-title":"Reconstruction and In Silico Analysis of Metabolic Network for an Oleaginous Yeast, Yarrowia lipolytica","volume":"7","author":"Pan","year":"2012","journal-title":"PLoS One"},{"key":"2023051401043069400_btx453-B43","doi-asserted-by":"crossref","first-page":"3627","DOI":"10.1128\/AEM.00138-09","article-title":"Genome-scale model of Streptococcus thermophilus LMG18311 for metabolic comparison of lactic acid bacteria","volume":"75","author":"Pastink","year":"2009","journal-title":"Appl. Environ. Microbiol"},{"key":"2023051401043069400_btx453-B44","doi-asserted-by":"crossref","first-page":"886","DOI":"10.1038\/nrmicro1023","article-title":"Genome-scale models of microbial cells: evaluating the consequences of constraints","volume":"2","author":"Price","year":"2004","journal-title":"Nat. Rev. Microbiol"},{"key":"2023051401043069400_btx453-B45","doi-asserted-by":"crossref","first-page":"e48285.","DOI":"10.1371\/journal.pone.0048285","article-title":"Reconstruction and comparison of the metabolic potential of cyanobacteria Cyanothece sp. ATCC 51142 and Synechocystis sp. PCC 6803","volume":"7","author":"Saha","year":"2012","journal-title":"PLoS One"},{"key":"2023051401043069400_btx453-B46","doi-asserted-by":"crossref","first-page":"1290","DOI":"10.1038\/nprot.2011.308","article-title":"Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0","volume":"6","author":"Schellenberger","year":"2011","journal-title":"Nat. Protoc"},{"key":"2023051401043069400_btx453-B47","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/S0167-7799(98)01290-6","article-title":"Detection of elementary flux modes in biochemical networks: a promising tool for pathway analysis and metabolic engineering","volume":"17","author":"Schuster","year":"1999","journal-title":"Trends Biotechnol"},{"key":"2023051401043069400_btx453-B48","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1016\/j.cmet.2015.07.001","article-title":"Quantifying diet-induced metabolic changes of the human gut microbiome","volume":"22","author":"Shoaie","year":"2015","journal-title":"Cell Metab"},{"key":"2023051401043069400_btx453-B49","doi-asserted-by":"crossref","first-page":"2532.","DOI":"10.1038\/srep02532","article-title":"Understanding the interactions between bacteria in the human gut through metabolic modeling","volume":"3","author":"Shoaie","year":"2013","journal-title":"Sci. Rep"},{"key":"2023051401043069400_btx453-B50","doi-asserted-by":"crossref","first-page":"92.","DOI":"10.1038\/msb4100131","article-title":"Metabolic modeling of a mutualistic microbial community","volume":"3","author":"Stolyar","year":"2007","journal-title":"Mol. Syst. Biol"},{"key":"2023051401043069400_btx453-B51","doi-asserted-by":"crossref","first-page":"687","DOI":"10.1093\/nar\/gks963","article-title":"Building the repertoire of dispensable chromosome regions in Bacillus subtilis entails major refinement of cognate large-scale metabolic model","volume":"41","author":"Tanaka","year":"2013","journal-title":"Nucleic Acids Res"},{"key":"2023051401043069400_btx453-B52","doi-asserted-by":"crossref","first-page":"2229","DOI":"10.1093\/bioinformatics\/btn401","article-title":"Large-scale computation of elementary flux modes with bit pattern trees","volume":"24","author":"Terzer","year":"2008","journal-title":"Bioinformatics"},{"key":"2023051401043069400_btx453-B53","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pone.0148031","article-title":"Integration and validation of the genome-scale metabolic models of Pichia pastoris: A comprehensive update of protein glycosylation pathways, lipid and energy metabolism","volume":"11","author":"Tom\u00e0s-Gamisans","year":"2016","journal-title":"PLoS One"},{"key":"2023051401043069400_btx453-B54","doi-asserted-by":"crossref","first-page":"1622","DOI":"10.1128\/AEM.03279-14","article-title":"Using a genome-scale metabolic model of Enterococcus faecalis V583 to assess amino acid uptake and its impact on central metabolism","volume":"81","author":"Veith","year":"2015","journal-title":"Appl. Environ. Microbiol"},{"key":"2023051401043069400_btx453-B55","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0110785","article-title":"Genome -scale reconstruction of metabolic networks of Lactobacillus casei ATCC 334 and 12A","volume":"9","author":"Vinay-Lara","year":"2014","journal-title":"PLoS One"},{"key":"2023051401043069400_btx453-B59","doi-asserted-by":"crossref","first-page":"e00070\u201316","DOI":"10.1128\/mSystems.00070-16","article-title":"Farnesoid X Receptor Signaling Shapes the Gut Microbiota and Controls Hepatic Lipid Metabolism","volume":"1","author":"Zhang","year":"2016","journal-title":"mSystems"},{"key":"2023051401043069400_btx453-B56","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1038\/ismej.2010.117","article-title":"Genome-scale dynamic modeling of the competition between Rhodoferax and Geobacter in anoxic subsurface environments","volume":"5","author":"Zhuang","year":"2011","journal-title":"ISME J"},{"key":"2023051401043069400_btx453-B57","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1021\/sb4001307","article-title":"d-OptCom: Dynamic Multi-level and Multi-objective Metabolic Modeling of Microbial Communities","volume":"3","author":"Zomorrodi","year":"2014","journal-title":"ACS Synth. Biol"},{"key":"2023051401043069400_btx453-B58","doi-asserted-by":"crossref","first-page":"e1002363.","DOI":"10.1371\/journal.pcbi.1002363","article-title":"OptCom: a multi-level optimization framework for the metabolic modeling and analysis of microbial communities","volume":"8","author":"Zomorrodi","year":"2012","journal-title":"PLoS Comput. Biol"}],"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/33\/22\/3603\/50307408\/bioinformatics_33_22_3603.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/33\/22\/3603\/50307408\/bioinformatics_33_22_3603.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,14]],"date-time":"2023-05-14T01:05:20Z","timestamp":1684026320000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/33\/22\/3603\/3965323"}},"subtitle":[],"editor":[{"given":"Jonathan","family":"Wren","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2017,7,14]]},"references-count":59,"journal-issue":{"issue":"22","published-print":{"date-parts":[[2017,11,15]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btx453","relation":{},"ISSN":["1367-4803","1367-4811"],"issn-type":[{"value":"1367-4803","type":"print"},{"value":"1367-4811","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2017,11,15]]},"published":{"date-parts":[[2017,7,14]]}}}