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In the above described variants, we used the population size as (|{mathbf P} | = 25), based on our above observations describing the superiority of smaller populations.
As independent variants we used teachers' thinking dispositions, their understandings of the evolutionary theory, their epistemological beliefs, and their frequency of church attendance and overall religiosity.
To search for additional parvovirus variants, we used the new NS1/7.5EC PCR assay whose primers were designed from a conserved region of the B19/V9 sequence and encompasses an MfeI restriction enzyme site that would allow differentiation between B19- and V9-like sequences.
To identify both common and rare variants we used a large sample consisting of DNA from 272 individuals from four populations.
Because the methodology underlying GLIMMIX is based on approximations, which can generate misleading values of Akaike's Information Criterion and its variants, we used other methods to compare competing models.
For functional analysis of the mutant variants, we used a heterologous hyper-expression system, where GFP-tagged CaMdr1p (CaMDR1-GFP) wastablyly over-expressed from a genomic PDR5 locus in AD1-8u-, a S. cerevisiae mutant.
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For all k-means variants, we use the fast variant presented in [21].
Around the breakpoints of the structural variants, we use an align-gap-excise alignment algorithm [ 17] to perform local realignment (Fig. 1a).
To map putative cis-variants we used a statistical analysis approach based on the linear regression method (similar to that of Teare et al[13]).
For the ST variant we used a temperature range of 0.1 to 0.5 and a purely MC move set in order to obey detailed balance.
In addition to the SENNA variant we used for generating the PASs (SENNA*) we also tested an even faster SENNA variant downloadable from the NEC labs site (SENNA 1.0 web).
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