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  • Type Strain Genome Server - DSMZ
    The dDDH values are provided along with their confidence intervals (C I ) for the three different GBDP (Genome BLAST Distance Phylogeny) formulas: formula d 0 (a k a GGDC formula 1): length of all HSPs divided by total genome length ; formula d 4 (a k a GGDC formula 2): sum of all identities found in HSPs divided by overall HSP length
  • Standard operating procedure for calculating genome-to-genome distances . . .
    DNA-DNA hybridization (DDH) is a widely applied wet-lab technique to obtain an estimate of the overall similarity between the genomes of two organisms To base the species concept for prokaryotes ultimately on DDH was chosen by microbiologists as a
  • Table 2. | Microbiology Society
    Digital DDH values estimated by GGDC 2 1 Distances are inferred using Formula 2 (identities HSP length) from the set of high-scoring segment pairs (HSPs) maximally unique matches obtained by comparing each pair of genomes using the software chosen
  • Digital DNA-DNA hybridization (dDDH) values obtained through a . . .
    Digital DNA-DNA hybridization (dDDH) values obtained through a comparison of all studied genomes using the Genome-to-Genome Distance Calculator (GGDC), formula 2 (DDH estimates based on
  • Supplementary Table 3: Pairwise digital DNA-DNA Hybridization (dDDH . . .
    confidence intervals (C I ) for the most recommended formula (d 4) used for phylogenomic analyses are: • formula d 0 (a k a GGDC formula 1): length of all HSPs (high-scoring segment pair) divided by total genome length • formula d 4 (a k a GGDC formula 2): sum of all identities found in HSPs divided by
  • Taxonogenomics: genome of a new organism - ScienceDirect
    Comparing the species, with the exception of strain GD6, digital DNA-DNA hybridization (dDDH) values ranged from 19 2% to 23 8% dDDH values between strain GD6 and compared species ranged from 19 6% with P massiliensis to 24 9% with P borealis
  • Digital DNA-DNA hybridization for microbial species delineation by . . .
    Here we investigate state-of-the-art methods for inferring whole-genome distances in their ability to mimic DDH Algorithms to efficiently determine high-scoring segment pairs or maximally unique matches perform well as a basis of inferring intergenomic distances
  • Digital DNA-DNA hybridization for microbial species delineation by . . .
    Here we investigate state-of-the-art methods for inferring whole-genome distances in their ability to mimic DDH Algorithms to efficiently determine high-scoring segment pairs or maximally unique matches perform well as a basis of inferring intergenomic distances


















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