Sentence examples for band sequencing from inspiring English sources

Denaturing gradient gel electrophoresis (DGGE) analysis and subsequent band sequencing were used to reveal the distinct rumen bacteria composition in cows fed with two forage sources (single corn stover vs. mixed forages including alfalfa hay and corn silage).

The DGGE fingerprints also indicated shifts in microeukaryote profiles; specific band sequencing indicated the appearance of Bacillariophyta sp. only in contaminated samples and Nematoda only in non-contaminated sediment.

Since sequences from different species can co-migrate to the same position in the gel [54] identification based on excised band sequencing requires every fragment to be singularised before sequencing.

DGGE band sequencing was carried out according to Li et al. [ 58].

According to DGGE band sequencing, the main phylum associated with El-Max district sediment was represented by Bacteroidetes, while Actinobacteria, Acidobacteria, and Spirochaetes were retrieved in lower abundance (Table 5).

DGGE band sequencing revealed the presence of taxa with closest affiliations either to known PAH degraders, e.g. Rhodococcus jostii RHA-1, or taxa known to harbor PAH degraders, e.g. Rhodococcus erythropolis, in all soils.

A decision procedure based on Temporal Band Sequences was proposed in order to overcome this difficulty.

They are assigned to the v′ v″ = −1 and −2 band sequences of the B2Σ+ X2Σ+ emission transition of AlO.

It is assigned to the v′ − v″ = 0 band sequence of the B1Σ+ X1Σ+ emission transition of MgO.

The measured intensity distributions within these band sequences were utilized for determination of the plasma temperature, found to be (8500 ± 1000) K.

In this study, we analyze the statistical distribution of the Δv="1 OH Meinel band sequence and the a1Δg−X3Σ (0–0) band of the O2 Infrared Atmospheric bands at 1.27 μm.