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description Publicationkeyboard_double_arrow_right Preprint , Article 2023Publisher:Elsevier BV Funded by:ANR | INCEPTIONANR| INCEPTIONAuthors: Andrew Holtz; Guy Baele; Herve Bourhy; Anna Zhukova;Andrew Holtz; Guy Baele; Herve Bourhy; Anna Zhukova;Abstract Despite the rapid growth in viral genome sequencing, statistical methods face challenges in handling historical viral endemic diseases with large amounts of underutilized partial sequence data. We propose a phylogenetic pipeline that harnesses both full and partial viral genome sequences to investigate historical pathogen spread between countries. Its application to Rabies virus (RABV) yields precise dating and confident estimates of its geographic dispersal. By using full genomes and partial sequences, we reduce both geographic and genetic biases that often hinder studies that focus on specific genes. Our pipeline reveals an emergence of the present canine-mediated RABV between years 1301 and 1401 and reveals regional introductions over a 700-year period. This geographic reconstruction enables us to locate episodes of human-mediated introductions of RABV and examine the role that European colonization played in its spread. Our approach enables phylogeographic analysis of large and genetically diverse data sets for many viral pathogens.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4654746&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4654746&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2022 FrancePublisher:Cold Spring Harbor Laboratory Funded by:ANR | INCEPTIONANR| INCEPTIONBertrand Neron; Remi Denise; Charles Coluzzi; Marie Touchon; Eduardo P. C. Rocha; Sophie S. Abby;Complex cellular functions are usually encoded by a set of genes in one or a few organized genetic loci in microbial genomes. Macromolecular System Finder (MacSyFinder) is a program that uses these properties to model and then annotate cellular functions in microbial genomes. This is done by integrating the identification of each individual gene at the level of the molecular system. We hereby present a major release of MacSyFinder (version 2) coded in Python 3. The code was improved and rationalized to facilitate future maintainability. Several new features were added to allow more flexible modelling of the systems. We introduce a more intuitive and comprehensive search engine to identify all the best candidate systems and sub-optimal ones that respect the models' constraints. We also introduce the novel macsydata companion tool that enables the easy installation and broad distribution of the models developed for MacSyFinder (macsy-models) from GitHub repositories. Finally, we have updated and improved MacSyFinder popular models: TXSScan to identify protein secretion systems, TFFscan to identify type IV filaments, CONJscan to identify conjugative systems, and CasFinder to identify CRISPR associated proteins. MacSyFinder and the updated models are available at: https://github.com/gem-pasteur/macsyfinder and https://github.com/macsy-models.
Peer Community Journ... arrow_drop_down HAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2023License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/2022.09.02.506364&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 17 citations 17 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Peer Community Journ... arrow_drop_down HAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2023License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/2022.09.02.506364&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2019 Belgium, United Kingdom, France, Switzerland, United States, United Kingdom, BelgiumPublisher:Springer Science and Business Media LLC Funded by:NIH | Laboratory Core, ANR | MOSQUIBIOTA, EC | IDAMS +10 projectsNIH| Laboratory Core ,ANR| MOSQUIBIOTA ,EC| IDAMS ,EC| MOMENTUM ,NIH| Research Training in Pediatric Emergency Medicine ,NIH| Project 3 ,WT ,NIH| A Platform for Modeling the Global Impact of Climate Change on Infectious Disease ,WT| Estimating the burden of dengue, chikungunya and Zika in Latin America ,NIH| An Approach for Estimating Foodborne Illnesses and Assessing Risk Factors ,ANR| INCEPTION ,EC| ZIKAlliance ,EC| ZikaPLANMoritz U. G. Kraemer; Robert Reiner; Oliver J. Brady; Jane P. Messina; Marius Gilbert; David M. Pigott; Dingdong Yi; Kimberly B. Johnson; Lucas Earl; Laurie B. Marczak; Shreya Shirude; Nicole Davis Weaver; Donal Bisanzio; T. Alex Perkins; Shengjie Lai; Xin Lu; Peter A. Jones; Giovanini E. Coelho; Roberta G. Carvalho; Wim Van Bortel; Cedric Marsboom; Guy Hendrickx; Francis Schaffner; Chester G. Moore; Heinrich H. Nax; Linus Bengtsson; Erik Wetter; Andrew J. Tatem; John S. Brownstein; David L. Smith; Louis Lambrechts; Simon Cauchemez; Catherine Linard; Nuno R. Faria; Oliver G. Pybus; Thomas W. Scott; Qiyong Liu; Hongjie Yu; G. R. William Wint; Simon I. Hay; Nick Golding;pmc: PMC7609323 , PMC6522366 , PMC7608402
handle: 20.500.11850/332446
The global population at risk from mosquito-borne diseases—including dengue, yellow fever, chikungunya and Zika—is expanding in concert with changes in the distribution of two key vectors: Aedes aegypti and Aedes albopictus. The distribution of these species is largely driven by both human movement and the presence of suitable climate. Using statistical mapping techniques, we show that human movement patterns explain the spread of both species in Europe and the United States following their introduction. We find that the spread of Ae. aegypti is characterized by long distance importations, while Ae. albopictus has expanded more along the fringes of its distribution. We describe these processes and predict the future distributions of both species in response to accelerating urbanization, connectivity and climate change. Global surveillance and control efforts that aim to mitigate the spread of chikungunya, dengue, yellow fever and Zika viruses must consider the so far unabated spread of these mosquitos. Our maps and predictions offer an opportunity to strategically target surveillance and control programmes and thereby augment efforts to reduce arbovirus burden in human populations globally. info:eu-repo/semantics/published SCOPUS: er.j SCOPUS: ar.j 0
Nature Microbiology arrow_drop_down Nature MicrobiologyArticle . 2019Full-Text: http://europepmc.org/articles/PMC7608402Data sources: PubMed CentralEurope PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC7609323Data sources: PubMed CentralNature MicrobiologyArticle . 2019Full-Text: http://europepmc.org/articles/PMC6522366Data sources: PubMed CentralOxford University Research ArchiveOther literature type . 2019Data sources: Oxford University Research ArchiveeScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of CaliforniaCORE (RIOXX-UK Aggregator)Article . 2019License: CC BY NC NDData sources: CORE (RIOXX-UK Aggregator)HAL Descartes; HAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2019License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41564-019-0376-y&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 683 citations 683 popularity Top 0.1% influence Top 1% impulse Top 0.01% Powered by BIP!visibility 23visibility views 23 download downloads 60 Powered bymore_vert Nature Microbiology arrow_drop_down Nature MicrobiologyArticle . 2019Full-Text: http://europepmc.org/articles/PMC7608402Data sources: PubMed CentralEurope PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC7609323Data sources: PubMed CentralNature MicrobiologyArticle . 2019Full-Text: http://europepmc.org/articles/PMC6522366Data sources: PubMed CentralOxford University Research ArchiveOther literature type . 2019Data sources: Oxford University Research ArchiveeScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of CaliforniaCORE (RIOXX-UK Aggregator)Article . 2019License: CC BY NC NDData sources: CORE (RIOXX-UK Aggregator)HAL Descartes; HAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2019License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41564-019-0376-y&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2016 PythonPublisher:bio.tools Funded by:EC | EVOMOBILOME, ANR | INCEPTIONEC| EVOMOBILOME ,ANR| INCEPTIONAuthors: Néron, Bertrand; Néron, Bertrand; Abby, Sophie;Néron, Bertrand; Néron, Bertrand; Abby, Sophie;Program to model and detect macromolecular systems, genetic pathways... in protein datasets. In prokaryotes, these systems have often evolutionarily conserved properties: they are made of conserved components, and are encoded in compact loci (conserved genetic architecture). The user models these systems to reflect these conserved features, and to allow their efficient detection.
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=__bioTools__::da6973e20bd063ed274dc45c808f8499&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=__bioTools__::da6973e20bd063ed274dc45c808f8499&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Preprint , Article 2023Publisher:Elsevier BV Funded by:ANR | INCEPTIONANR| INCEPTIONAuthors: Andrew Holtz; Guy Baele; Herve Bourhy; Anna Zhukova;Andrew Holtz; Guy Baele; Herve Bourhy; Anna Zhukova;Abstract Despite the rapid growth in viral genome sequencing, statistical methods face challenges in handling historical viral endemic diseases with large amounts of underutilized partial sequence data. We propose a phylogenetic pipeline that harnesses both full and partial viral genome sequences to investigate historical pathogen spread between countries. Its application to Rabies virus (RABV) yields precise dating and confident estimates of its geographic dispersal. By using full genomes and partial sequences, we reduce both geographic and genetic biases that often hinder studies that focus on specific genes. Our pipeline reveals an emergence of the present canine-mediated RABV between years 1301 and 1401 and reveals regional introductions over a 700-year period. This geographic reconstruction enables us to locate episodes of human-mediated introductions of RABV and examine the role that European colonization played in its spread. Our approach enables phylogeographic analysis of large and genetically diverse data sets for many viral pathogens.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4654746&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4654746&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2022 FrancePublisher:Cold Spring Harbor Laboratory Funded by:ANR | INCEPTIONANR| INCEPTIONBertrand Neron; Remi Denise; Charles Coluzzi; Marie Touchon; Eduardo P. C. Rocha; Sophie S. Abby;Complex cellular functions are usually encoded by a set of genes in one or a few organized genetic loci in microbial genomes. Macromolecular System Finder (MacSyFinder) is a program that uses these properties to model and then annotate cellular functions in microbial genomes. This is done by integrating the identification of each individual gene at the level of the molecular system. We hereby present a major release of MacSyFinder (version 2) coded in Python 3. The code was improved and rationalized to facilitate future maintainability. Several new features were added to allow more flexible modelling of the systems. We introduce a more intuitive and comprehensive search engine to identify all the best candidate systems and sub-optimal ones that respect the models' constraints. We also introduce the novel macsydata companion tool that enables the easy installation and broad distribution of the models developed for MacSyFinder (macsy-models) from GitHub repositories. Finally, we have updated and improved MacSyFinder popular models: TXSScan to identify protein secretion systems, TFFscan to identify type IV filaments, CONJscan to identify conjugative systems, and CasFinder to identify CRISPR associated proteins. MacSyFinder and the updated models are available at: https://github.com/gem-pasteur/macsyfinder and https://github.com/macsy-models.
Peer Community Journ... arrow_drop_down HAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2023License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/2022.09.02.506364&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 17 citations 17 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Peer Community Journ... arrow_drop_down HAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2023License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/2022.09.02.506364&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2019 Belgium, United Kingdom, France, Switzerland, United States, United Kingdom, BelgiumPublisher:Springer Science and Business Media LLC Funded by:NIH | Laboratory Core, ANR | MOSQUIBIOTA, EC | IDAMS +10 projectsNIH| Laboratory Core ,ANR| MOSQUIBIOTA ,EC| IDAMS ,EC| MOMENTUM ,NIH| Research Training in Pediatric Emergency Medicine ,NIH| Project 3 ,WT ,NIH| A Platform for Modeling the Global Impact of Climate Change on Infectious Disease ,WT| Estimating the burden of dengue, chikungunya and Zika in Latin America ,NIH| An Approach for Estimating Foodborne Illnesses and Assessing Risk Factors ,ANR| INCEPTION ,EC| ZIKAlliance ,EC| ZikaPLANMoritz U. G. Kraemer; Robert Reiner; Oliver J. Brady; Jane P. Messina; Marius Gilbert; David M. Pigott; Dingdong Yi; Kimberly B. Johnson; Lucas Earl; Laurie B. Marczak; Shreya Shirude; Nicole Davis Weaver; Donal Bisanzio; T. Alex Perkins; Shengjie Lai; Xin Lu; Peter A. Jones; Giovanini E. Coelho; Roberta G. Carvalho; Wim Van Bortel; Cedric Marsboom; Guy Hendrickx; Francis Schaffner; Chester G. Moore; Heinrich H. Nax; Linus Bengtsson; Erik Wetter; Andrew J. Tatem; John S. Brownstein; David L. Smith; Louis Lambrechts; Simon Cauchemez; Catherine Linard; Nuno R. Faria; Oliver G. Pybus; Thomas W. Scott; Qiyong Liu; Hongjie Yu; G. R. William Wint; Simon I. Hay; Nick Golding;pmc: PMC7609323 , PMC6522366 , PMC7608402
handle: 20.500.11850/332446
The global population at risk from mosquito-borne diseases—including dengue, yellow fever, chikungunya and Zika—is expanding in concert with changes in the distribution of two key vectors: Aedes aegypti and Aedes albopictus. The distribution of these species is largely driven by both human movement and the presence of suitable climate. Using statistical mapping techniques, we show that human movement patterns explain the spread of both species in Europe and the United States following their introduction. We find that the spread of Ae. aegypti is characterized by long distance importations, while Ae. albopictus has expanded more along the fringes of its distribution. We describe these processes and predict the future distributions of both species in response to accelerating urbanization, connectivity and climate change. Global surveillance and control efforts that aim to mitigate the spread of chikungunya, dengue, yellow fever and Zika viruses must consider the so far unabated spread of these mosquitos. Our maps and predictions offer an opportunity to strategically target surveillance and control programmes and thereby augment efforts to reduce arbovirus burden in human populations globally. info:eu-repo/semantics/published SCOPUS: er.j SCOPUS: ar.j 0
Nature Microbiology arrow_drop_down Nature MicrobiologyArticle . 2019Full-Text: http://europepmc.org/articles/PMC7608402Data sources: PubMed CentralEurope PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC7609323Data sources: PubMed CentralNature MicrobiologyArticle . 2019Full-Text: http://europepmc.org/articles/PMC6522366Data sources: PubMed CentralOxford University Research ArchiveOther literature type . 2019Data sources: Oxford University Research ArchiveeScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of CaliforniaCORE (RIOXX-UK Aggregator)Article . 2019License: CC BY NC NDData sources: CORE (RIOXX-UK Aggregator)HAL Descartes; HAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2019License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41564-019-0376-y&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 683 citations 683 popularity Top 0.1% influence Top 1% impulse Top 0.01% Powered by BIP!visibility 23visibility views 23 download downloads 60 Powered bymore_vert Nature Microbiology arrow_drop_down Nature MicrobiologyArticle . 2019Full-Text: http://europepmc.org/articles/PMC7608402Data sources: PubMed CentralEurope PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC7609323Data sources: PubMed CentralNature MicrobiologyArticle . 2019Full-Text: http://europepmc.org/articles/PMC6522366Data sources: PubMed CentralOxford University Research ArchiveOther literature type . 2019Data sources: Oxford University Research ArchiveeScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of CaliforniaCORE (RIOXX-UK Aggregator)Article . 2019License: CC BY NC NDData sources: CORE (RIOXX-UK Aggregator)HAL Descartes; HAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2019License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41564-019-0376-y&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2016 PythonPublisher:bio.tools Funded by:EC | EVOMOBILOME, ANR | INCEPTIONEC| EVOMOBILOME ,ANR| INCEPTIONAuthors: Néron, Bertrand; Néron, Bertrand; Abby, Sophie;Néron, Bertrand; Néron, Bertrand; Abby, Sophie;Program to model and detect macromolecular systems, genetic pathways... in protein datasets. In prokaryotes, these systems have often evolutionarily conserved properties: they are made of conserved components, and are encoded in compact loci (conserved genetic architecture). The user models these systems to reflect these conserved features, and to allow their efficient detection.
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=__bioTools__::da6973e20bd063ed274dc45c808f8499&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=__bioTools__::da6973e20bd063ed274dc45c808f8499&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu