Two previous studies have used multiple sampling within individuals to provide a statistical basis for detecting transcript variation between genetically identical mice.
Multiple sampling within individuals is not necessary in an experiment aimed at making between-group comparisons, but it is essential if the aim is to identify significant variation between individuals within the same experimental treatment group.
We similarly did not find any temporal variation of the MELAS mutant load in multiple samples taken within 10 to 39 GW (Tables 4A and B).
In this study, we collected multiple samples of tissues within each of several genetically identical mice.
We isolated multiple samples from regions within an individual patient's lung varying by degree of emphysema and by location (for example, apical, basal), and used Lm to quantify the degree of emphysema severity within each sample.
In free-ranging animals multiple samples were taken within several hours when degradation products had not yet been produced, while samples from porpoises in rehabilitation were taken over a period of several days.
Further examination of these SNPs revealed that 104 were both present in multiple samples, and represented within either the dbSNP or 1000 Genomes datasets, suggesting that they are not de novo variants.
To answer this need, we introduce a rule-based haplotype comparison method, Haplous, which identifies haplotypes within multiple samples from phased genotype data and compares them within and between sample groups.
This approach allows multiple samples to be tested within the same run, and also the effects of thawing to be de-coupled from the freezing step which produces either PS or NS.
We analysed understory regeneration density and distribution in relation to canopy gap size and condition on multiple sample areas within a 360 km2 area of old-growth balsam fir (Abies balsamea [L.] Miller) forest on Anticosti Island, Canada.
