The identifiers for HasPart and IsPartOf entries is used to identify the collection hierarchies.
To help alleviate this we have identified the collection of biodistribution information as a key step in all internal dosimetry calculations, and present a template that can be used to standardize its documentation and reporting.
Each day, we ran this mixture in triplicate to identify the collection window (see ESM Fig. S1).
In the fourth step, each IS gene cluster detected in the second step was decomposed into all possible collections of nonoverlapping accepted subclusters to identify the collection that maximized the length of subclusters.
A meta-regression model was estimated to identify the collection of study-level covariates that best explained the between-studies component of the total variance in estimates of the effect of larger sizes on consumption.
The German Antibiotic Resistance Strategy DART released by the German ministries in 2008 identified the collection of sales and consumption data as one of the measures which should be taken to control antibiotic resistances in human and veterinary medicine [ 6].
To identify the collection of genes expressed during response to stressors, RNA was extracted from gill, brain, liver, spleen, kidney and muscle from one random sample from each treatment tank plus three control samples (total of 108 RNA samples).
In contrast, our heuristic approach can predict interactions involving multiple binding sites by: (1) identifying the collection of accessible regions for both input RNA sequences, (2) using a matching algorithm, computing a set of "non-conflicting" interactions between the accessible regions which have the highest overall probability of occurrence.
Second, we estimated random-effects models to identify the collections of study-level covariates that best explained the between-studies component of the variance in study-level estimates of effect size.
