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The Human Phenotype Ontology in 2017

Sebastian Köhler, Nicole A. Vasilevsky, Mark Engelstad, Erin Foster, Julie McMurry, Ségolène Aymé, Gareth Baynam, Susan M. Bello, Cornelius F. Boerkoel, Kym M. Boycott, Michael Brudno, Orion J. Buske (+47 others)
<span title="2016-11-28">2016</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hfp6p6inqbdexbsu4r7usndpte" style="color: black;">Nucleic Acids Research</a> </i> &nbsp;
The three components of the Human Phenotype Ontology (HPO; www.human-phenotype-ontology.org) project are the phenotype vocabulary, disease-phenotype annotations and the algorithms that operate on these  ...  Deep phenotyping has been defined as the precise and comprehensive analysis of phenotypic abnormalities in which the individual components of the phenotype are observed and described.  ...  The views expressed in this publication are those of the authors and not necessarily those of the funding agencies involved.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/nar/gkw1039">doi:10.1093/nar/gkw1039</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27899602">pmid:27899602</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5210535/">pmcid:PMC5210535</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/55iggw3tzvei7ispy3gu6rwqum">fatcat:55iggw3tzvei7ispy3gu6rwqum</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190503102834/https://cloudfront.escholarship.org/dist/prd/content/qt2w17n1nt/qt2w17n1nt.pdf?t=oz4gh2" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a1/8f/a18f5206acccb23562cc6948d8806fcd2893e428.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/nar/gkw1039"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> oup.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210535" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

How much do model organism phenotypes contribute to the computational identification of human disease genes? [article]

Sarah M Alghamdi, Paul N Schofield, Robert Hoehndorf
<span title="2021-12-24">2021</span> <i title="Cold Spring Harbor Laboratory"> bioRxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Our work has implications for the future development of integrated phenotype ontologies, as well as for the use of model organism phenotypes in human genetic variant interpretation.  ...  We use methods based on phenotype ontologies to semantically relate phenotypes resulting from loss-of-function mutations in different model organisms to disease-associated phenotypes in humans.  ...  Acknowledgements We acknowledge use of resources from the KAUST Supercomputing Laboratory. PNS acknowledges the support of The Alan Turing Institute.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2021.12.24.474099">doi:10.1101/2021.12.24.474099</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mpm3uuspynfctezrgfdajezipe">fatcat:mpm3uuspynfctezrgfdajezipe</a> </span>
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Phenotypic, functional and taxonomic features predict host-pathogen interactions [article]

Wang Liu-Wei, Şenay Kafkas, Robert Hoehndorf
<span title="2018-12-30">2018</span> <i title="Cold Spring Harbor Laboratory"> bioRxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Our results show that the integration of phenotypic, functional and taxonomic knowledge not only improves the prediction of HPIs, but also enables us to investigate novel pathogens in emerging infectious  ...  Matching the phenotypes elicited by pathogens with phenotypes associated with host proteins might improve the prediction of HPIs.  ...  To associate human and mouse phenotypes, we use the cross-species phenotype ontology PhenomeNET (Hoehndorf et al., 2011; Rodríguez-García et al., 2017) , which combined the Human Phenotype Ontology (HP  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/508762">doi:10.1101/508762</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ep5cueyetzcavn746i4tcl3ju4">fatcat:ep5cueyetzcavn746i4tcl3ju4</a> </span>
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Prediction of novel virus-host interactions by integrating clinical symptoms and protein sequences [article]

Wang Liu-Wei, Senay Kafkas, Jun Chen, Jesper Tegner, Robert Hoehndorf
<span title="2020-04-25">2020</span> <i title="Cold Spring Harbor Laboratory"> biorxiv/medrxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
First, human proteins and viruses were embedded in a shared space using their associated phenotypes, functions, taxonomic classification, as well as formalized background knowledge from biomedical ontologies  ...  Availability:https://github.com/bio-ontology-research-group/DeepViral  ...  We also thank Jeffery Law for making public the mappings of the SARS-CoV-2 proteins.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2020.04.22.055095">doi:10.1101/2020.04.22.055095</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/q7qhrnb3fzbihjorrnyzahwaba">fatcat:q7qhrnb3fzbihjorrnyzahwaba</a> </span>
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OPA2Vec: combining formal and informal content of biomedical ontologies to improve similarity-based prediction [article]

Fatima Zohra Smaili, Xin Gao, Robert Hoehndorf
<span title="2018-04-29">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In addition to formally structured axioms, ontologies contain meta-data in the form of annotation axioms which provide valuable pieces of information that characterize ontology classes.  ...  Results: We propose a novel method, OPA2Vec, to generate vector representations of biological entities in ontologies by combining formal ontology axioms and annotation axioms from the ontology meta-data  ...  We obtained the disease to human phenotype annotations on February 21, 2018 from the Human Phenotype Ontology (HPO) database http: //human-phenotype-ontology.github.io/ (Robinson et al., 2008) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1804.10922v1">arXiv:1804.10922v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u6vwrilmnndyvirpghvmazqxom">fatcat:u6vwrilmnndyvirpghvmazqxom</a> </span>
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Phänotyp Ontologie, humane [chapter]

A. M. Gressner, O. A. Gressner
<span title="2017-11-29">2017</span> <i title="Springer Berlin Heidelberg"> Lexikon der Medizinischen Laboratoriumsdiagnostik </i> &nbsp;
Synonym(e) humane Phänotyp Ontologie; HPO Englischer Begriff human phenotype ontology; HPO  ...  human phenotype ontology in 2017.  ...  The genetic Ontology (GO). http://www.geneontology.org/ The Human Phenotype Ontology (HPO). http://www.human-phenotypeontology.org The Obo Foundry (OF). http://obofoundry.org # Springer-Verlag GmbH Deutschland  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-662-49054-9_3723-1">doi:10.1007/978-3-662-49054-9_3723-1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cynhp5ftmneehgbssfcpazxpoy">fatcat:cynhp5ftmneehgbssfcpazxpoy</a> </span>
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Ontology-based validation and identification of regulatory phenotypes

Maxat Kulmanov, Paul N Schofield, Georgios V Gkoutos, Robert Hoehndorf
<span title="2018-09-01">2018</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wmo54ba2jnemdingjj4fl3736a" style="color: black;">Bioinformatics</a> </i> &nbsp;
Results: We developed a novel ontology-based method to validate the mutual consistency of function and phenotype annotations.  ...  Support to validate the mutual consistency of functional and phenotype annotations as well as a computational method to predict phenotypes from function annotations, would greatly improve the utility of  ...  For human, we downloaded annotations provided by the Human Phenotype Ontology (HPO) database (Robinson et al., 2008) on December 5, 2017.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bioinformatics/bty605">doi:10.1093/bioinformatics/bty605</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30423068">pmid:30423068</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6129279/">pmcid:PMC6129279</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ppdjlrnptvenjau4pkenxdbm6q">fatcat:ppdjlrnptvenjau4pkenxdbm6q</a> </span>
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As Ontologies Reach Maturity, Artificial Intelligence Starts Being Fully Efficient: Findings from the Section on Knowledge Representation and Management for the Yearbook 2018

Jean Charlet, Ferdinand Dhombres
<span title="">2018</span> <i title="Georg Thieme Verlag KG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/25ybzim6mvglde3zgjvka7ehii" style="color: black;">IMIA Yearbook of Medical Informatics</a> </i> &nbsp;
for 2018 demonstrate even further the added-value of ontology-based integration approaches for phenotype-genotype association mining.  ...  Objectives: To select, present, and summarize the best papers published in 2017 in the field of Knowledge Representation and Management (KRM).  ...  Acknowledgements We would like to thank Martina Hutter and Adrien Ugon for their support and the reviewers for their participation in the selection process of best papers for the IMIA Yearbook.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1055/s-0038-1667078">doi:10.1055/s-0038-1667078</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30157517">pmid:30157517</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/otwpqzgeang5to4l7xfpiaf6ra">fatcat:otwpqzgeang5to4l7xfpiaf6ra</a> </span>
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Progress Towards an Ontology Mapping Service [article]

Ian Harrow, Martin Romacker, Andrea Splendiani, Peter Woollard, Tom Plasterer, Rainer Winnenburg, Scott Markel, Siddharth Mehta, Chris Piddington, Yasmin Alam-Faruque, Rama Balakrishnan, Jane Lomax (+7 others)
<span title="2018-12-12">2018</span> <i title="Figshare"> Figshare </i> &nbsp;
The Ontologies Mapping Project [1] was established in 2016 to enable better tools and services for mapping between ontologies and to establish best practices for ontology management in the Life Sciences  ...  The project is now focussed on the development of an ontology mapping service (OMS).  ...  track -"Matching disease and phenotype ontologies in the ontology alignment evaluation initiative" Harrow et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.6084/m9.figshare.7454636">doi:10.6084/m9.figshare.7454636</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zxvtnskotffsnld2nt3vevafom">fatcat:zxvtnskotffsnld2nt3vevafom</a> </span>
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Ontology-based validation and identification of regulatory phenotypes [article]

Maxat Kulmanov, Paul N Schofield, Georgios V Gkoutos, Robert Hoehndorf
<span title="2018-01-30">2018</span> <i title="Cold Spring Harbor Laboratory"> bioRxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Based on experimental functional annotations, we predict phenotypes for 1,986 genes in mouse and 7,301 genes in human for which no experimental phenotypes have yet been determined.  ...  function annotations Results: We developed a novel ontology-based method to validate the mutual consistency of function and phenotype annotations.  ...  For human, we downloaded annotations provided by the Human Phenotype Ontology (HPO) database (Robinson et al., 2008) on December 5th 2017.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/256529">doi:10.1101/256529</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nmvojrlgdjbnzfp6o2hygb2a2e">fatcat:nmvojrlgdjbnzfp6o2hygb2a2e</a> </span>
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Mouse Genome Database (MGD)-2018: knowledgebase for the laboratory mouse

Cynthia L Smith, Judith A Blake, James A Kadin, Joel E Richardson, Carol J Bult
<span title="2017-10-30">2017</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hfp6p6inqbdexbsu4r7usndpte" style="color: black;">Nucleic Acids Research</a> </i> &nbsp;
MGD serves as the source for biological reference data sets related to mouse genes, gene functions, phenotypes and disease models with an increasing emphasis on the association of these data to human biology  ...  We report here on recent enhancements to this resource, including improved access to mouse disease model and human phenotype data and enhanced relationships of mouse models to human disease.  ...  The use of Human Phenotype Ontology and Human Phenotype Annotation files from Dr Peter Robinson (The Jackson Laboratory) is gratefully acknowledged.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/nar/gkx1006">doi:10.1093/nar/gkx1006</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29092072">pmid:29092072</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5753350/">pmcid:PMC5753350</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vvlq4zpe4jac7ik25sh26qrulq">fatcat:vvlq4zpe4jac7ik25sh26qrulq</a> </span>
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Formal axioms in biomedical ontologies improve analysis and interpretation of associated data

<span title="2020-04-01">2019</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wmo54ba2jnemdingjj4fl3736a" style="color: black;">Bioinformatics</a> </i> &nbsp;
Our results have implications on the further development of formal knowledge bases and ontologies in the life sciences, in particular as machine learning methods are more frequently being applied.  ...  The axioms and meta-data of different ontologies contribute to improving data analysis in a context-specific manner.  ...  While GO is not a phenotype ontology, it is used in the axioms that make up most phenotype ontologies (Gkoutos et al., 2017) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bioinformatics/btz920">doi:10.1093/bioinformatics/btz920</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31821406">pmid:31821406</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7141863/">pmcid:PMC7141863</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kyzdyoq7mfaw3cxgdrngi4zmi4">fatcat:kyzdyoq7mfaw3cxgdrngi4zmi4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200512035140/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC7141863&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/54/e9/54e98454707cb37b126bf1e9c92af951d1ea7875.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bioinformatics/btz920"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> oup.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141863" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Semantic Disease Gene Embeddings (SmuDGE): phenotype-based disease gene prioritization without phenotypes [article]

Mona Alshahrani, Robert Hoehndorf
<span title="2018-04-30">2018</span> <i title="Cold Spring Harbor Laboratory"> biorxiv/medrxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
A key limitation of these methods is their reliance on knowledge about phenotypes associated with particular genes which is highly incomplete in humans as well as in many model organisms such as the mouse  ...  In the past years, several methods have been developed to incorporate information about phenotypes into computational disease gene prioritization methods.  ...  the cross-species phenotype ontology PhenomeNET (Rodriguez-Garcia et al., 2017).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/311449">doi:10.1101/311449</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/coz2llzhv5cwveevjpa5czqkcq">fatcat:coz2llzhv5cwveevjpa5czqkcq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180722034521/https://repository.kaust.edu.sa/bitstream/handle/10754/627767/311449.full.pdf;jsessionid=BBC50599EBCE58A20663C89D64C779BA?sequence=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/25/57/255748c5f614f0c2f88d65a42e8f472c81119e4b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/311449"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> biorxiv.org </button> </a>

Formal axioms in biomedical ontologies improve analysis and interpretation of associated data [article]

Fatima Zohra Smaili, Xin Gao, Robert Hoehndorf
<span title="2019-02-02">2019</span> <i title="Cold Spring Harbor Laboratory"> bioRxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
At the same time, ontologies have extended their amount of human-readable information such as labels and definitions as well as other meta-data.  ...  Motivation: There are now over 500 ontologies in the life sciences. Over the past years, significant resources have been invested into formalizing these biomedical ontologies.  ...  The research reported in this publication was supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/536649">doi:10.1101/536649</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3rqt4oxlmbdpxke6osx5vpefdi">fatcat:3rqt4oxlmbdpxke6osx5vpefdi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190503142829/https://www.biorxiv.org/content/biorxiv/early/2019/02/02/536649.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/79/fc/79fc17369f42e1e92b8e0654c09b7257cd88d572.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/536649"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> biorxiv.org </button> </a>

Semantic Disease Gene Embeddings (SmuDGE): phenotype-based disease gene prioritization without phenotypes

Mona Alshahrani, Robert Hoehndorf
<span title="2018-09-01">2018</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wmo54ba2jnemdingjj4fl3736a" style="color: black;">Bioinformatics</a> </i> &nbsp;
A key limitation of these methods is their reliance on knowledge about phenotypes associated with particular genes which is highly incomplete in humans as well as in many model organisms such as the mouse  ...  Motivation: In the past years, several methods have been developed to incorporate information about phenotypes into computational disease gene prioritization methods.  ...  the cross-species phenotype ontology PhenomeNET (Rodríguez-García et al., 2017).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bioinformatics/bty559">doi:10.1093/bioinformatics/bty559</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30423077">pmid:30423077</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6129260/">pmcid:PMC6129260</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tgpfeplwercvxkejugerc43qcu">fatcat:tgpfeplwercvxkejugerc43qcu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200208085117/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC6129260&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cd/54/cd5451f65388479bed2dd5f3ce66b1f111b11d04.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bioinformatics/bty559"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> oup.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129260" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>
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