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  1. 21 cze 2024 · For a more accurate assessment of genetic distance, a nucleotide base distance matrix was constructed in the GI.3 cluster. The terminal clade with GI.3 ancestors diverges into two branches with bootstrap values above 90.

  2. 3 dni temu · The relationship matrix computed by --make-rel/--make-grm-list/--make-grm-bin can be used to reliably identify close relations within a single population, if your MAFs are decent.

  3. 15 cze 2024 · Distance metrics are fundamental tools in data science and machine learning. They measure the similarity or dissimilarity between data points, influencing clustering, classification, and recommendation algorithms. This blog post delves into various distance metrics and how to compute them using NumPy. Euclidean Distance; Manhattan Distance

  4. 4 dni temu · Wheat landraces are considered a valuable source of genetic diversity for breeding programs. It is useful to evaluate the genetic diversity in breeding studies such as marker-assisted selection (MAS), genome-wide association studies (GWAS), and genomic selection. In addition, constructing a core germplasm set that represents the genetic diversity of the entire variety set is of great ...

  5. 25 cze 2024 · The application of sequencing-based approaches to collective DNA from the whole microbial community — that is, metagenomics — has transcended these limitations, revolutionizing the study of ...

  6. 15 cze 2024 · Beta diversity analysis was based on the Bray–Curtis distances matrix, and permutational analysis of variance (PERMANOVA) was performed. The alpha-diversity indexes Chao1 and Shannon were also calculated, and differences by group were assessed by Mann–Whitney and/or Kruskal–Wallis non-parametric test.

  7. 22 cze 2024 · I've got a list of addresses without city or zip, but in the vicinity of another address. The Google Distance Matrix API is generally able to infer the locale of the destination address from that of the origin address. For example: