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Means for each contaminant were compared using one-way ANOVA when at least 50% of the samples contained detectable concentrations.
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The kinetic BAC-model predictions and experimental results for simultaneous adsorption and biodegradation of azo-dye contaminants were compared.
Using nuclear magnetic resonance based metabonomics, samples (n = 7) containing the highest contaminant levels were compared with samples (n = 7) containing the lowest levels.
VOC concentrations in samples collected before treatment or blending during 1985–2002 from 2,401 domestic wells were compared with human-health benchmarks when available, including U.S. EPA maximum contaminant levels (MCLs) for regulated contaminants and health-based screening levels (HBSLs) for unregulated contaminants (those without U.S. EPA MCLs) (Toccalino et al. 2003).
Each health assessment parameter was compared with lipid-normalized contaminant concentrations using the Spearman rank correlation test.
The resulting trimmed reads were checked for contaminants, and low quality bases and contaminants were removed using the cutadapt software (Martin 2011).
Possible contaminants (plasmid DNA, sequences with similarity to vectors and other contaminants) were discarded using the Cross_match program (www.phrap.org).
Possible contaminants were identified using MEGAN5 (http://ab.inf.uni-tuebingen.de/software/megan5/).
The screen for contaminant RNAs was done using BlastN with default parameters (Cutoff e-value was e-10).
The low-quality, contaminant sequences were trimmed using NGS QC Toolkit [ 44].
The cRAP protein database, which lists common contaminants, was used to determine abundance thresholds for including predicted proteins.
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