Want to track pandemic variants faster? Fix the bioinformatics bottleneck
Tools, rules and incentives are buckling under the flood of coronavirus genome sequences — to help control the pandemic, researchers need new approaches. Tools, rules and incentives are buckling under the flood of coronavirus genome sequences — to help control the pandemic, researchers need new appr...
Gespeichert in:
| Veröffentlicht in: | Nature (London) 2021-03, Vol.591 (7848), p.30-33 |
|---|---|
| Hauptverfasser: | , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 33 |
|---|---|
| container_issue | 7848 |
| container_start_page | 30 |
| container_title | Nature (London) |
| container_volume | 591 |
| creator | Hodcroft, Emma B. De Maio, Nicola Lanfear, Rob MacCannell, Duncan R. Minh, Bui Quang Schmidt, Heiko A. Stamatakis, Alexandros Goldman, Nick Dessimoz, Christophe |
| description | Tools, rules and incentives are buckling under the flood of coronavirus genome sequences — to help control the pandemic, researchers need new approaches.
Tools, rules and incentives are buckling under the flood of coronavirus genome sequences — to help control the pandemic, researchers need new approaches. |
| doi_str_mv | 10.1038/d41586-021-00525-x |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2495404669</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2495404669</sourcerecordid><originalsourceid>FETCH-LOGICAL-c290x-71e9c2df0861474d8612ef18bc7575fd2440e509c77d1fc25983389a1a54a1d03</originalsourceid><addsrcrecordid>eNp9kLFOwzAQhi0EoqXwAgzIEguLwXbsxJkQqihUqsQCYrQc24G0TVJsB4W3xyUFJAamG-67_-4-AE4JviQ4EVeGES5ShClBGHPKUb8HxoRlKWKpyPbBGGMqEBZJOgJH3i9xpEjGDsEoSVKWc0LGYP6smgBDC4NTegU3qjG2rjR8V66KHQ9L5YN113BW9TC8WlhUbdWUratVqLSHRRvC2jZWr47BQanW3p7s6gQ8zW4fp_do8XA3n94skKY57lFGbK6pKbFI46nMxEJtSUShM57x0lDGsOU411lmSKkpz0WSiFwRxZkiBicTcDHkblz71lkfZF15bddr1di285LGzxhmaZpH9PwPumw718TrtlTOuOCMRIoOlHat986WcuOqWrkPSbDcipaDaBlFyy_Rso9DZ7vorqit-Rn5NhuBZAB8bDUv1v3u_if2E3yGh7c</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2499458541</pqid></control><display><type>article</type><title>Want to track pandemic variants faster? Fix the bioinformatics bottleneck</title><source>MEDLINE</source><source>SpringerLink Journals</source><source>Nature Journals Online</source><creator>Hodcroft, Emma B. ; De Maio, Nicola ; Lanfear, Rob ; MacCannell, Duncan R. ; Minh, Bui Quang ; Schmidt, Heiko A. ; Stamatakis, Alexandros ; Goldman, Nick ; Dessimoz, Christophe</creator><creatorcontrib>Hodcroft, Emma B. ; De Maio, Nicola ; Lanfear, Rob ; MacCannell, Duncan R. ; Minh, Bui Quang ; Schmidt, Heiko A. ; Stamatakis, Alexandros ; Goldman, Nick ; Dessimoz, Christophe</creatorcontrib><description>Tools, rules and incentives are buckling under the flood of coronavirus genome sequences — to help control the pandemic, researchers need new approaches.
Tools, rules and incentives are buckling under the flood of coronavirus genome sequences — to help control the pandemic, researchers need new approaches.</description><identifier>ISSN: 0028-0836</identifier><identifier>EISSN: 1476-4687</identifier><identifier>DOI: 10.1038/d41586-021-00525-x</identifier><identifier>PMID: 33649511</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/1647/48 ; 631/208/212 ; 631/326/596/4130 ; 692/700/478 ; Animals ; Automation - methods ; Basic Reproduction Number ; Bioinformatics ; Comment ; Coronaviruses ; COVID-19 ; COVID-19 - epidemiology ; COVID-19 - immunology ; COVID-19 - transmission ; COVID-19 - virology ; COVID-19 Vaccines - immunology ; Evolution, Molecular ; Genome, Viral - genetics ; Genomic analysis ; Genomics - methods ; Genomics - trends ; Humanities and Social Sciences ; Humans ; Mink - virology ; multidisciplinary ; Mutation ; Pandemics ; Pandemics - statistics & numerical data ; Phylogenetics ; Phylogeny ; Public Health - methods ; Public Health - trends ; SARS-CoV-2 - genetics ; SARS-CoV-2 - immunology ; SARS-CoV-2 - isolation & purification ; SARS-CoV-2 - pathogenicity ; Science ; Scientific papers ; Sequences ; Social Media ; Uncertainty</subject><ispartof>Nature (London), 2021-03, Vol.591 (7848), p.30-33</ispartof><rights>Springer Nature Limited 2021</rights><rights>Copyright Nature Publishing Group Mar 4, 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c290x-71e9c2df0861474d8612ef18bc7575fd2440e509c77d1fc25983389a1a54a1d03</citedby><cites>FETCH-LOGICAL-c290x-71e9c2df0861474d8612ef18bc7575fd2440e509c77d1fc25983389a1a54a1d03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/d41586-021-00525-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/d41586-021-00525-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33649511$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hodcroft, Emma B.</creatorcontrib><creatorcontrib>De Maio, Nicola</creatorcontrib><creatorcontrib>Lanfear, Rob</creatorcontrib><creatorcontrib>MacCannell, Duncan R.</creatorcontrib><creatorcontrib>Minh, Bui Quang</creatorcontrib><creatorcontrib>Schmidt, Heiko A.</creatorcontrib><creatorcontrib>Stamatakis, Alexandros</creatorcontrib><creatorcontrib>Goldman, Nick</creatorcontrib><creatorcontrib>Dessimoz, Christophe</creatorcontrib><title>Want to track pandemic variants faster? Fix the bioinformatics bottleneck</title><title>Nature (London)</title><addtitle>Nature</addtitle><addtitle>Nature</addtitle><description>Tools, rules and incentives are buckling under the flood of coronavirus genome sequences — to help control the pandemic, researchers need new approaches.
Tools, rules and incentives are buckling under the flood of coronavirus genome sequences — to help control the pandemic, researchers need new approaches.</description><subject>631/1647/48</subject><subject>631/208/212</subject><subject>631/326/596/4130</subject><subject>692/700/478</subject><subject>Animals</subject><subject>Automation - methods</subject><subject>Basic Reproduction Number</subject><subject>Bioinformatics</subject><subject>Comment</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>COVID-19 - immunology</subject><subject>COVID-19 - transmission</subject><subject>COVID-19 - virology</subject><subject>COVID-19 Vaccines - immunology</subject><subject>Evolution, Molecular</subject><subject>Genome, Viral - genetics</subject><subject>Genomic analysis</subject><subject>Genomics - methods</subject><subject>Genomics - trends</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Mink - virology</subject><subject>multidisciplinary</subject><subject>Mutation</subject><subject>Pandemics</subject><subject>Pandemics - statistics & numerical data</subject><subject>Phylogenetics</subject><subject>Phylogeny</subject><subject>Public Health - methods</subject><subject>Public Health - trends</subject><subject>SARS-CoV-2 - genetics</subject><subject>SARS-CoV-2 - immunology</subject><subject>SARS-CoV-2 - isolation & purification</subject><subject>SARS-CoV-2 - pathogenicity</subject><subject>Science</subject><subject>Scientific papers</subject><subject>Sequences</subject><subject>Social Media</subject><subject>Uncertainty</subject><issn>0028-0836</issn><issn>1476-4687</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kLFOwzAQhi0EoqXwAgzIEguLwXbsxJkQqihUqsQCYrQc24G0TVJsB4W3xyUFJAamG-67_-4-AE4JviQ4EVeGES5ShClBGHPKUb8HxoRlKWKpyPbBGGMqEBZJOgJH3i9xpEjGDsEoSVKWc0LGYP6smgBDC4NTegU3qjG2rjR8V66KHQ9L5YN113BW9TC8WlhUbdWUratVqLSHRRvC2jZWr47BQanW3p7s6gQ8zW4fp_do8XA3n94skKY57lFGbK6pKbFI46nMxEJtSUShM57x0lDGsOU411lmSKkpz0WSiFwRxZkiBicTcDHkblz71lkfZF15bddr1di285LGzxhmaZpH9PwPumw718TrtlTOuOCMRIoOlHat986WcuOqWrkPSbDcipaDaBlFyy_Rso9DZ7vorqit-Rn5NhuBZAB8bDUv1v3u_if2E3yGh7c</recordid><startdate>20210304</startdate><enddate>20210304</enddate><creator>Hodcroft, Emma B.</creator><creator>De Maio, Nicola</creator><creator>Lanfear, Rob</creator><creator>MacCannell, Duncan R.</creator><creator>Minh, Bui Quang</creator><creator>Schmidt, Heiko A.</creator><creator>Stamatakis, Alexandros</creator><creator>Goldman, Nick</creator><creator>Dessimoz, Christophe</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7ST</scope><scope>7T5</scope><scope>7TG</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>8AF</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>M2P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>R05</scope><scope>RC3</scope><scope>S0X</scope><scope>SOI</scope><scope>7X8</scope></search><sort><creationdate>20210304</creationdate><title>Want to track pandemic variants faster? Fix the bioinformatics bottleneck</title><author>Hodcroft, Emma B. ; De Maio, Nicola ; Lanfear, Rob ; MacCannell, Duncan R. ; Minh, Bui Quang ; Schmidt, Heiko A. ; Stamatakis, Alexandros ; Goldman, Nick ; Dessimoz, Christophe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c290x-71e9c2df0861474d8612ef18bc7575fd2440e509c77d1fc25983389a1a54a1d03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>631/1647/48</topic><topic>631/208/212</topic><topic>631/326/596/4130</topic><topic>692/700/478</topic><topic>Animals</topic><topic>Automation - methods</topic><topic>Basic Reproduction Number</topic><topic>Bioinformatics</topic><topic>Comment</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - epidemiology</topic><topic>COVID-19 - immunology</topic><topic>COVID-19 - transmission</topic><topic>COVID-19 - virology</topic><topic>COVID-19 Vaccines - immunology</topic><topic>Evolution, Molecular</topic><topic>Genome, Viral - genetics</topic><topic>Genomic analysis</topic><topic>Genomics - methods</topic><topic>Genomics - trends</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>Mink - virology</topic><topic>multidisciplinary</topic><topic>Mutation</topic><topic>Pandemics</topic><topic>Pandemics - statistics & numerical data</topic><topic>Phylogenetics</topic><topic>Phylogeny</topic><topic>Public Health - methods</topic><topic>Public Health - trends</topic><topic>SARS-CoV-2 - genetics</topic><topic>SARS-CoV-2 - immunology</topic><topic>SARS-CoV-2 - isolation & purification</topic><topic>SARS-CoV-2 - pathogenicity</topic><topic>Science</topic><topic>Scientific papers</topic><topic>Sequences</topic><topic>Social Media</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hodcroft, Emma B.</creatorcontrib><creatorcontrib>De Maio, Nicola</creatorcontrib><creatorcontrib>Lanfear, Rob</creatorcontrib><creatorcontrib>MacCannell, Duncan R.</creatorcontrib><creatorcontrib>Minh, Bui Quang</creatorcontrib><creatorcontrib>Schmidt, Heiko A.</creatorcontrib><creatorcontrib>Stamatakis, Alexandros</creatorcontrib><creatorcontrib>Goldman, Nick</creatorcontrib><creatorcontrib>Dessimoz, Christophe</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>University of Michigan</collection><collection>Genetics Abstracts</collection><collection>SIRS Editorial</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Nature (London)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hodcroft, Emma B.</au><au>De Maio, Nicola</au><au>Lanfear, Rob</au><au>MacCannell, Duncan R.</au><au>Minh, Bui Quang</au><au>Schmidt, Heiko A.</au><au>Stamatakis, Alexandros</au><au>Goldman, Nick</au><au>Dessimoz, Christophe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Want to track pandemic variants faster? Fix the bioinformatics bottleneck</atitle><jtitle>Nature (London)</jtitle><stitle>Nature</stitle><addtitle>Nature</addtitle><date>2021-03-04</date><risdate>2021</risdate><volume>591</volume><issue>7848</issue><spage>30</spage><epage>33</epage><pages>30-33</pages><issn>0028-0836</issn><eissn>1476-4687</eissn><abstract>Tools, rules and incentives are buckling under the flood of coronavirus genome sequences — to help control the pandemic, researchers need new approaches.
Tools, rules and incentives are buckling under the flood of coronavirus genome sequences — to help control the pandemic, researchers need new approaches.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>33649511</pmid><doi>10.1038/d41586-021-00525-x</doi><tpages>4</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0028-0836 |
| ispartof | Nature (London), 2021-03, Vol.591 (7848), p.30-33 |
| issn | 0028-0836 1476-4687 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2495404669 |
| source | MEDLINE; SpringerLink Journals; Nature Journals Online |
| subjects | 631/1647/48 631/208/212 631/326/596/4130 692/700/478 Animals Automation - methods Basic Reproduction Number Bioinformatics Comment Coronaviruses COVID-19 COVID-19 - epidemiology COVID-19 - immunology COVID-19 - transmission COVID-19 - virology COVID-19 Vaccines - immunology Evolution, Molecular Genome, Viral - genetics Genomic analysis Genomics - methods Genomics - trends Humanities and Social Sciences Humans Mink - virology multidisciplinary Mutation Pandemics Pandemics - statistics & numerical data Phylogenetics Phylogeny Public Health - methods Public Health - trends SARS-CoV-2 - genetics SARS-CoV-2 - immunology SARS-CoV-2 - isolation & purification SARS-CoV-2 - pathogenicity Science Scientific papers Sequences Social Media Uncertainty |
| title | Want to track pandemic variants faster? Fix the bioinformatics bottleneck |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T09%3A08%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Want%20to%20track%20pandemic%20variants%20faster?%20Fix%20the%20bioinformatics%20bottleneck&rft.jtitle=Nature%20(London)&rft.au=Hodcroft,%20Emma%20B.&rft.date=2021-03-04&rft.volume=591&rft.issue=7848&rft.spage=30&rft.epage=33&rft.pages=30-33&rft.issn=0028-0836&rft.eissn=1476-4687&rft_id=info:doi/10.1038/d41586-021-00525-x&rft_dat=%3Cproquest_cross%3E2495404669%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2499458541&rft_id=info:pmid/33649511&rfr_iscdi=true |