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10.1093/bioinformatics/btaa871 http://scihub22266oqcxt.onion/10.1093/bioinformatics/btaa871 33045068!7745650!33045068     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       Bioinformatics 2021 ; 37 (12): 1761-1762 Nephropedia Template TP {{tp|p=33045068|t=2021. COVID-Align: accurate online alignment of hCoV-19 genomes using a profile HMM |pdf=|usr=}}{{33045068}} gab.com Text COVID-Align: accurate online alignment of hCoV-19 genomes using a profile HMM JO: Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=33045068 #FOAvip MOTIVATION: The first cases of the COVID-19 pandemic emerged in December 2019. Until the end of February 2020, the number of available genomes was below 1000 and their multiple alignment was easily achieved using standard approaches. Subsequently, the availability of genomes has grown dramatically. Moreover, some genomes are of low quality with sequencing/assembly errors, making accurate re-alignment of all genomes nearly impossible on a daily basis. A more efficient, yet accurate approach was clearly required to pursue all subsequent bioinformatics analyses of this crucial data. RESULTS: hCoV-19 genomes are highly conserved, with very few indels and no recombination. This makes the profile HMM approach particularly well suited to align new genomes, add them to an existing alignment and filter problematic ones. Using a core of approximately 2500 high quality genomes, we estimated a profile using HMMER, and implemented this profile in COVID-Align, a user-friendly interface to be used online or as standalone via Docker. The alignment of 1000 genomes requires approximately 50 minutes on our cluster. Moreover, COVID-Align provides summary statistics, which can be used to determine the sequencing quality and evolutionary novelty of input genomes (e.g. number of new mutations and indels). AVAILABILITY AND IMPLEMENTATION: https://covalign.pasteur.cloud, hub.docker.com/r/evolbioinfo/covid-align. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Twit Text FOAVip COVID-Align: accurate online alignment of hCoV-19 genomes using a profile HMM ????Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=33045068 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33045068 #FOAvip English Wikipedia <ref>{{Cite pmid|33045068}}</ref> COVID-Align: accurate online alignment of hCoV-19 genomes using a profile HMM #MMPMID33045068 Lemoine F; Blassel L; Voznica J; Gascuel O Bioinformatics 2021[Jul]; 37 (12): 1761-1762 PMID33045068show ga MOTIVATION: The first cases of the COVID-19 pandemic emerged in December 2019. Until the end of February 2020, the number of available genomes was below 1000 and their multiple alignment was easily achieved using standard approaches. Subsequently, the availability of genomes has grown dramatically. Moreover, some genomes are of low quality with sequencing/assembly errors, making accurate re-alignment of all genomes nearly impossible on a daily basis. A more efficient, yet accurate approach was clearly required to pursue all subsequent bioinformatics analyses of this crucial data. RESULTS: hCoV-19 genomes are highly conserved, with very few indels and no recombination. This makes the profile HMM approach particularly well suited to align new genomes, add them to an existing alignment and filter problematic ones. Using a core of approximately 2500 high quality genomes, we estimated a profile using HMMER, and implemented this profile in COVID-Align, a user-friendly interface to be used online or as standalone via Docker. The alignment of 1000 genomes requires approximately 50 minutes on our cluster. Moreover, COVID-Align provides summary statistics, which can be used to determine the sequencing quality and evolutionary novelty of input genomes (e.g. number of new mutations and indels). AVAILABILITY AND IMPLEMENTATION: https://covalign.pasteur.cloud, hub.docker.com/r/evolbioinfo/covid-align. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |*COVID-19[MESH] |*Software[MESH] |Genome[MESH] |Humans[MESH] |Pandemics[MESH]COVID-Align: accurate online alignment of hCoV-19 genomes using a prof(epmc).pdf DeepDyve Pubget Overpricing