Sentence examples for molecular variance analysis from inspiring English sources

Hierarchical molecular variance analysis (AMOVA) was performed on the four BAPS groups with 10,000 permutations using Arlequin v3.5 [ 39].

Molecular variance analysis showed a higher proportion of intra-province variation among landraces compared with variation among all landraces as a whole.

M. davidii comprises three lineages (MEP, SWP and SH) based on the results of molecular variance analysis (AMOVA) and phylogenetic analyses.

> > Analysis of molecular variance analysis revealed that the majority of the variance was restricted to within-population variation (80 %), whereas variance partitioned among population was 20%%.

Analysis of molecular variance analysis of two populations showed that 22%% of the genetic variation occurred between CZH and DHT populations, whereas 78%% of the genetic variation occurred within these populations (Table  3).

AMOVA (analysis of molecular variance) analysis showed significant values for genetic differentiation among groups for the following two comparisons: (i) sampling locations partitioned according to Eastern, Western, and Central regions; and (ii) according to lineage E versus rest of samples.

AD: atopic dermatitis; Af: antecubital fossa; AMOVA: analysis of molecular variance; ANOVA: analysis of variance; N: nares/nostril; OTU: operational taxonomic unit; PCoA: principal coordinates analysis; Pf: popliteal fossa; Vf: volar forearm.

AMOVA: Analysis of molecular variance; ANOVA: Analysis of variance; MRSA: Methicillin-resistant Staphylococcus aureus; OTU: Operational taxon unit.

The diversity indices including AMOVA (analysis of molecular variance) based Fst analysis were calculated using ARLEQUIN 3.01 software [35].

Genetic structure was determined by conducting analysis of molecular variance (AMOVA) and pairwise analysis of population differentiation (FST) on microsatellite data with ARLEQUIN v. 3.0 [60]; statistical significance was assessed with 1000 permutations.

Allelic richness per locus per population, partition of the genetic diversity and variation, gene-flow, F-statistics, number of migrants, analysis of molecular variance and factorial correspondence analysis of the microsatellite data, were explored as implemented in GENALEX v6 [66].