Sentence examples for estimate redundancy from inspiring English sources

Exact(5)

Those 11 bioclimatic layers were winnowed from a larger set of 19 variables using correlations to estimate redundancy between variables and retaining the more biologically meaningful and interpretable variables (e.g., annual mean temperature, mean temperature of the wettest quarter, and precipitation of the wettest quarter).

Assemblies within each Sanger library were also conducted by PartiGene to estimate redundancy rate of libraries.

To estimate redundancy levels, the 15664 unigenes were compared with each other with the BLASTN program [ 31].

In order to estimate redundancy at the sequence level, we aligned the DArT sequences with a multiple alignment algorithm CLUSTALW [ 78] implemented in Geneious software [ 79], with the default option for analysis of gaps.

In order to estimate redundancy of the DArT markers at the sequence level, we aligned the DArT sequences using ClustalW program and found that the majority of co-segregating DArT clones (0.01 cM = ~6 kb) had high levels (77% to 99.4%) of sequence identities (Additional file 3).

Similar(55)

However, the estimated redundancy rates still leave room for other explanations to account for the lack of single mutant phenotypes.

Both Gypsy REs show similarity to chromodomain-containing Res, and the estimated redundancy of the full-length forms of them is very high.

By comparison, the EST redundancy in the radiata pine EST collection is slightly higher than the estimated redundancy of 28% in Populus (13.5 k microarrays) [ 22] and of 39% in white spruce (50,000 ESTs) [ 14].

Assembly of reads in contigs and singletons to estimate the redundancy of the ESTs, get the consensus sequences of the redundant ones, and obtain the unigene set was made with tgicl [ 51], using the following default parameters: 30 bases minimum overlap length, 94% minimum percent identity for overlaps, and 30 bases maximum length of unmatched overhangs.

Catchpole and Morgan [3] demonstrate use of Hessian-based methods to estimate parameter redundancy in a class of capture-recapture models.

In order to estimate the redundancy of each library, reads aligned to the genome were collapsed by location that is, reads that mapped to the same genomic coordinates were merged into one.

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