Sentence examples for algae analysis from inspiring English sources

PyGC-MS eliminated the need for labor intensive and time consuming extraction processes in comparison to conventional hydrocarbon analysis of algal species [ 25, 26], hence increasing the sample throughput and lowering the costs for algae analysis.

To gain an understanding of the evolutionary relationship between activators from land plants and algae, phylogenetic analysis was performed for activators from plants and algae genomes.

For example, the abundance of RAS-clustering sequences in the Sargasso Sea fractions may be indicative of the presence of red algae, although analysis of these eukaryotic fractions did not reveal a particular abundance of red algae [ 33].

For algae and seawater analysis, the average values of the concentrations of heavy metals, which were obtained from triplicate measurements, were considered.

For a case study of ethanol produced by blue-green algae, global sensitivity analysis using Sobols method indicates how exogenous and endogenous variables, including the ramp-up rate, affect the optimal scale and financial viability of the production system.

For these reasons, we conclude that despite the automated nature of the current green algal annotations they contain most of the known Pfam domains in green algae and further analysis was done only using the annotated domains.

In order to include cyanobacteria in fluorometric analysis of algae, a simplified energy distribution model describing energy pathways in the cyanobacterial photosynthetic apparatus was conceptualized.

We performed this analysis for algae along 100 µm of the mesoglea, and repeated this analysis on sections from 4 6 animals per experimental time point.

However, in order to provide an alternative context in which to evaluate the sequence-structure trees, a second set of analyses of nucleotide data only for each of the three classes of green algae and a composite analysis for the Chlorophyta was completed.

Here we use ESTs from six different streptophyte algae for a phylogenomic analysis including 21 embryophytes.

Automated recognition of blue-green algae implemented a discriminant analysis for classification.