Sentence examples for standalone analysis from inspiring English sources

Currently, the high throughput experiments for bioprocess development are implemented in a sequential fashion in which liquid handling system will perform the web lab experiment to prepare the samples; standalone analysis devices detect the data such as protein concentration; and specific software is used to realise the data analysis for process design or further experimentation.

The same html interface that is used for standalone local analysis is easily deployed on a web server for remote access in collaborative projects, or data dissemination.

The server accepts the CSV file format along with a wide variety of common formats generated by online and standalone metagenomic analysis tools such as mothur, MG-RAST, QIIME, and MEGAN.

RTF: Rich text format (can be opened in MS Word); SROC: summary receiver operating characteristic curve As shown in Table 1, in Meta-Analyst strives to combine the ease-of-use of standalone meta-analysis packages with the advanced analytic capabilities offered by general statistical packages.

Pajek [ 20] is a standalone application for analysis and visualization of large networks having ten to hundreds of thousands of vertices.

Local BLAST analysis (standalone NCBI BLAST v.2.2.27+) was carried out for each file against M. tuberculosis H37Rv reference genome, minimum supporting read depth used to as a quality filter (10 for isolates with >500 fold coverage, 2 for the remaining).

Eucb is a standalone program for geometrical analysis of molecular dynamics trajectories of protein systems.

Although the DATK can be operated as a standalone program, developing additional analysis tools requires the use of Matlab.

The algorithm is particularly useful to practicing engineers for geotechnical reliability analysis where standalone (deterministic) numerical packages are used.

The effects of skewing the PPMI test database can be demonstrated through analysis of standalone CADx and semi-quantitative performance figures.

The implementation of PyContact as a standalone application enables rapid analysis and data visualization without any additional programming requirements, and also preserves full in-program customization and extension capabilities for advanced users.