Sentence examples similar to analytical and data processing from inspiring English sources

Metabolomics is a complex field of analytical chemistry and bioinformatics in which advanced techniques to determine the levels of a wide range of metabolites are employed in a series of procedures, including sample extraction and preparation, metabolite detection using analytical instruments, and data processing and mining by means of bioinformatics techniques.

Details of the analytical and data-processing procedures are in the supplementary information in Additional file 1[ 1[- 20].

glbase is designed to rapidly bring biological data into a Python-based analytical environment to facilitate analysis and data processing.

The concept of programming a machine was further developed later in the 19th century when Charles Babbage, an English mathematician, proposed a complex, mechanical "analytical engine" that could perform arithmetic and data processing.

JB carried out analytical and numerical work, SW performed numerical work and data processing.

In addition, the commonly used analytical and semi-analytical data processing methods are not suitable for miscible flooding for ignoring the mechanism of vaporizing and dissolving mechanism.

We discuss the design, analytical prerequisites, data processing and interpretation of single and dual-SIP experiments and highlight a case study on anaerobic methanotrophic communities inhabiting hydrothermally heated marine sediments.

Because of this, numerous protocols for metabolite analysis have been developed to cover a broad range of compound classes, which are frequently characterized by the following workflow, as summarized in Figure 1: (i) material of choice, (ii) sample preparation and extraction, (iii) analytical methods, (iv) data processing and (v) data analysis and interpretation.

However, as a high-throughput technology, metabolomics datasets are extremely large and require multiple tools for data information and management, raw analytical data processing, compound standardization and ontology, statistics, integration, visualization, mathematical modeling of metabolic networks, and interpretation (Figure 1D,E) [69].

Figure 1 Material of choice (A), sample preparation and extraction (B), analytical methods (C), data processing (D), and data analysis and interpretation (E).

Overall, says McVean, the center "will bring together analytical data processing and genetics in one institute, so we can tackle some of the thorny but fascinating questions about collecting and analyzing big data sets".