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10.1038/s41591-020-0935-z http://scihub22266oqcxt.onion/10.1038/s41591-020-0935-z 32528156!7363500!32528156     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nat+Med 2020 ; 26 (6): 832-841 Nephropedia Template TP {{tp|p=32528156|t=2020. Ten recommendations for supporting open pathogen genomic analysis in public health |pdf=|usr=}}{{32528156}} gab.com Text Ten recommendations for supporting open pathogen genomic analysis in public health JO: Nat Med http://www.kidney.de/pget.php?&tw=1&pmid=32528156 #FOAvip Increasingly, public-health agencies are using pathogen genomic sequence data to support surveillance and epidemiological investigations. As access to whole-genome sequencing has grown, greater amounts of molecular data have helped improve the ability to detect and track outbreaks of diseases such as COVID-19, investigate transmission chains and explore large-scale population dynamics, such as the spread of antibiotic resistance. However, the wide adoption of whole-genome sequencing also poses new challenges for public-health agencies that must adapt to support a new set of expertise, which means that the capacity to perform genomic data assembly and analysis has not expanded as widely as the adoption of sequencing itself. In this Perspective, we make recommendations for developing an accessible, unified informatic ecosystem to support pathogen genomic analysis in public-health agencies across income settings. We hope that the creation of this ecosystem will allow agencies to effectively and efficiently share data, workflows and analyses and thereby increase the reproducibility, accessibility and auditability of pathogen genomic analysis while also supporting agency autonomy. Twit Text FOAVip Ten recommendations for supporting open pathogen genomic analysis in public health ????Nat Med http://www.kidney.de/pget.php?&tw=1&pmid=32528156 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32528156 #FOAvip English Wikipedia <ref>{{Cite pmid|32528156}}</ref> Ten recommendations for supporting open pathogen genomic analysis in public health #MMPMID32528156 Black A; MacCannell DR; Sibley TR; Bedford T Nat Med 2020[Jun]; 26 (6): 832-841 PMID32528156show ga Increasingly, public-health agencies are using pathogen genomic sequence data to support surveillance and epidemiological investigations. As access to whole-genome sequencing has grown, greater amounts of molecular data have helped improve the ability to detect and track outbreaks of diseases such as COVID-19, investigate transmission chains and explore large-scale population dynamics, such as the spread of antibiotic resistance. However, the wide adoption of whole-genome sequencing also poses new challenges for public-health agencies that must adapt to support a new set of expertise, which means that the capacity to perform genomic data assembly and analysis has not expanded as widely as the adoption of sequencing itself. In this Perspective, we make recommendations for developing an accessible, unified informatic ecosystem to support pathogen genomic analysis in public-health agencies across income settings. We hope that the creation of this ecosystem will allow agencies to effectively and efficiently share data, workflows and analyses and thereby increase the reproducibility, accessibility and auditability of pathogen genomic analysis while also supporting agency autonomy. |*Genomics[MESH] |*Population Dynamics[MESH] |Betacoronavirus/genetics/pathogenicity[MESH] |COVID-19[MESH] |Coronavirus Infections/epidemiology/*genetics/transmission/virology[MESH] |Disease Outbreaks[MESH] |Drug Resistance, Microbial/genetics[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia, Viral/epidemiology/*genetics/transmission/virology[MESH] |SARS-CoV-2[MESH]Ten recommendations for supporting open pathogen genomic analysis in p(epmc).pdf DeepDyve Pubget Overpricing