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10.1093/gigascience/giy069 http://scihub22266oqcxt.onion/10.1093/gigascience/giy069 C6022608!6022608!29893851     free     free     free       Gigascience 2018 ; 7 (6): ä Nephropedia Template TP {{tp|p=29893851|t=2018. AMBER: Assessment of Metagenome BinnERs |pdf=|usr=}}{{29893851}} gab.com Text AMBER: Assessment of Metagenome BinnERs JO: Gigascience http://www.kidney.de/pget.php?&tw=1&pmid=29893851 #FOAvip Reconstructing the genomes of microbial community members is key to the interpretation of shotgun metagenome samples. Genome binning programs deconvolute reads or assembled contigs of such samples into individual bins. However, assessing their quality is difficult due to the lack of evaluation software and standardized metrics. Here, we present Assessment of Metagenome BinnERs (AMBER), an evaluation package for the comparative assessment of genome reconstructions from metagenome benchmark datasets. It calculates the performance metrics and comparative visualizations used in the first benchmarking challenge of the initiative for the Critical Assessment of Metagenome Interpretation (CAMI). As an application, we show the outputs of AMBER for 11 binning programs on two CAMI benchmark datasets. AMBER is implemented in Python and available under the Apache 2.0 license on GitHub. Twit Text FOAVip AMBER: Assessment of Metagenome BinnERs ????Gigascience http://www.kidney.de/pget.php?&tw=1&pmid=29893851 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29893851 #FOAvip English Wikipedia <ref>{{Cite pmid|29893851}}</ref> AMBER: Assessment of Metagenome BinnERs #MMPMID29893851 Meyer F; Hofmann P; Belmann P; Garrido-Oter R; Fritz A; Sczyrba A; McHardy AC Gigascience 2018[Jun]; 7 (6): ä PMID29893851show ga Reconstructing the genomes of microbial community members is key to the interpretation of shotgun metagenome samples. Genome binning programs deconvolute reads or assembled contigs of such samples into individual bins. However, assessing their quality is difficult due to the lack of evaluation software and standardized metrics. Here, we present Assessment of Metagenome BinnERs (AMBER), an evaluation package for the comparative assessment of genome reconstructions from metagenome benchmark datasets. It calculates the performance metrics and comparative visualizations used in the first benchmarking challenge of the initiative for the Critical Assessment of Metagenome Interpretation (CAMI). As an application, we show the outputs of AMBER for 11 binning programs on two CAMI benchmark datasets. AMBER is implemented in Python and available under the Apache 2.0 license on GitHub. äAMBER: Assessment of Metagenome BinnERs (epmc).pdf DeepDyve Pubget Overpricing