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We therefore sought compensatory mutations to explain this finding.
The basic idea behind maximum parsimony is to find a most parsimonious phylogenetic tree; that is, a tree that requires the fewest mutations to explain the observed sequences.
Many genomics project are using DNA resequencing to identify SNPs and other mutations to explain differences among people or among healthy and disease phenotypes.
The three sites, 399, 531, and 568, that support NANOGP5 as the older pseudogene require 1, 2, and 1 mutations to explain the order, respectively.
Tomasetti and Vogelstein recently invoked replication-coupled stem cell mutations to explain the strong relationship between lifetime cancer risk and number of stem cell divisions across tissues (Tomasetti and Vogelstein, 2015).
For example, a clinician may analyze a patient's mutations to explain observed drug side effects or may retrieve the list of biomarkers and their functions that have been associated with a specific cancer type.
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It represented a candidate mutation to explain the phenotypes of these strains.
A mutation rate of 3.3 × 10− would be required for de novo mutation to explain the observed occurrences of ΔmtDNA-5 at N = 1 in our study.
In a heterozygous PEX12 +/− patient, the authors were unable to find a second mutation to explain the severe PBD phenotype (ZSS).
The imperfection score measures the minimal number of recurrent mutations needed to explain mutation among all observed sequences from a common ancestor and therefore provides a simple way of distinguishing regions that can be explained by simple (perfect or near-perfect) phylogenies from those with more complicated histories.
In a purely mutational phylogeny, imperfection corresponds to the number of recurrent mutations needed to explain the data set.
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