Data conversion and processing: Data conversion, apozidation, Fourier transformation, and baseline correction (if necessary) of the data set using NMRPipe software.
This presentation included aspects of analysis and quality assurance workflows (stressing the need for these in the context of high-throughput data), public tools for data analysis and format conversions and integration of data with other resources such as UniProtKB (5).
We believe that future developments of workflow and pipeline systems will tremendously facilitate the analysis of NGS data, as they do not require complex installation routines and necessary data conversion steps from end-users.
SAS software (Version 9.2; SAS Institute Inc., Cary, NC, USA) and Microsoft Office Excel 2010 were used in this study for the claims data conversion and analysis.
Custom scripts were used to facilitate data conversion and analysis.
Online Power Spectral Density (PSD) analysis necessitates real-time PSD data conversion is a must.
For data analysis and conversion the Microcal origin software was used.
For data analysis and conversion the Microcal Origin 7.0 software was used.
The most challenging aspect of data analysis is raw data processing, which involves data conversion, baseline correction, spectrum deconvolution, peak detection and integration, chromatogram alignment, normalization, and compound identification and quantification (Figure 1D).
Analysis and conversion of the raw data into induction factors was performed using the "Magellan" software (Tecan, Austria).
