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Once the reads have been properly mapped, genomic variants can be discovered by identifying differences between the reference genome and the aligned reads.
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By identifying differences in emotions between groups, strategies for dealing with the emotions felt by non-users that can inhibit adoption can be devised.
We approached these important objectives by seeking to identify differences between the healthy and asthmatic phenotypes at the molecular level.
We exploited this database to define the presence of functional associations within the genes detected by microarray analysis and to identify differences between the ontological gene classes that were enriched among differ expressed genes.
was used to determine the overall significance by analysis of variance (ANOVA) and to identify differences between the groups by Tukey's post-hoc tests.
The results from both study groups will be compared by descriptive statistical procedures to identify differences between the two groups.
Statistical analysis and the comparison between the groups were performed using one-way ANOVA followed by Tukey's test to identify differences between treatments at 5% significant level, using Minitab version 14 (Minitab Inc., State College, PA, USA).
We exploited this database to define the presence of functional associations within the genes detected by microarray analysis and to identify differences between the ontological gene classes that were enriched among differentially expressed genes.
This paper reviews ideas regarding the use of 'place' or 'landscape' by Neanderthals and argues that the identified differences between the archaeological records of Neanderthals and late Pleistocene Modern Humans is not so much the result of significant variance in cognitive capacities, but rather the use of contrasting approaches to interaction with the physical landscape.
Liver and body weight, clinical chemistry, food consumption and Ki67 staining were analysed by 1-way analysis of variance to identify differences between the dose groups.
Data were expressed as the mean ± S.E.M. Group means were compared by one-way analysis of variance (ANOVA), and ANOVA followed by Bonferroni's test was used to identify differences between multiple groups.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com