Sentence examples for isolation module from inspiring English sources

Messenger RNA was isolated using NEBNext Poly(A) mRNA Magnetic Isolation Module (NEB 7490).

The mRNA was isolated using NEBNext Poly(A) mRNA Magnetic Isolation Module using 500 ng of total RNA for both B. irregularis and Hypsiglena sp. Library preparation was performed on the selected mRNA using NEBNext Ultra RNA Library Prep Kit and Multiplex Oligos for Illumina Sequencing (New England Biolabs).

We further isolated mRNA using NEBNext Poly(A) mRNA Magnetic Isolation Module and RNA-seq libraries for both specimens were prepared with NEBNext Ultra Directional RNA Library Prep Kit for Illumina following manufactory's protocol.

Poly-A+ RNA was isolated from total RNA using the NEBNext Poly(A) mRNA Magnetic Isolation Module (NEB).

Poly (A+) RNA was isolated from total RNA mixture by using NEBNext® Poly(A) mRNA Magnetic Isolation Module (New England Biolabs), following the manufacturer's protocol.

Using an input of 100 ng of total RNA, poly-A selection was performed using a NEBNext® Poly(A) mRNA Magnetic Isolation Module.

Parameters of the vibration isolation modules are also optimized in order to achieve better suspension performances.

The design takes into account a prespecified set of faults and the ranges of their magnitudes that are wanted to be tolerated and it assumes the availability of on-line fault estimations provided by a Fault Detection and Isolation (FDI) module.

With the information of the estimation errors from each of the considered observers, a fault diagnosis and isolation (FDI) module is able to reconfigure the control loop by selecting the appropriate stabilising controller from a bank of precomputed control laws, each of them related to one of the considered fault models.

The proposed control strategies are invoked when the agents are subject to actuator faults and while the available fault detection and isolation (FDI) modules provide inaccurate and unreliable information on the estimation of faults severities.

The Miso (module isolation) method predicts gene modules from genomic data and the associated isolation index provides a module-specific measure of confidence.