Sentence examples for blocks for each dataset from inspiring English sources

We concatenated all alignment blocks for each dataset and used the resulting three alignments as input for SplitsTree.

The Haploview-based algorithms were used to produce a full list of haplotype blocks for each dataset.

The sequential partitioning achieved by the Gabriel et al. and four gamete rule approaches do not consistently identify a haplotype block for each dataset.

Concatenated alignment blocks from each dataset were imported into SplitsTree [27], [28].

Haploview [ 31, 32] was used to identify LD blocks with a D' ~ 1 and LOD ≥ 2 for each dataset and to generate haplotypes and haplotype association statistics.

Table 3 shows the number of haplotype blocks that contain the certain range of the number of phased SNPs for each dataset.

Rather than estimating ω for each dataset using a variable model along pre-defined blocks of adjacent codons, we assumed an independent model for each site with an improper inverse distribution of rates.

Then, the longest conserved block from the alignment is extracted to form a pk model for each dataset.

For each of our three datasets, the distribution of trees from each alignment block (standard output of MrBayes) was used as input for BUCKy, giving one tree for each dataset (Figure 4).

179 descriptors were generated for each dataset.

Table 19 Run time for each dataset Dataset No. of communities Algorithm run time (min) Autonomous systems dataset 406 1.221701 Autonomous systems dataset 411 1.324316 Wikipedia dataset 499 4.112323 Wikipedia dataset 508 4.296346 Facebook dataset 91 7.218095 Facebook dataset 94 7.491025.