The starting premise adopted was that with the availability of bioinformatics expertise, biological data generated from toxicogenomics studies could be interpreted with a high degree of confidence.
This study describes the bioinformatic analysis of data generated from high throughput proteomics for identification of potential biomarkers of OA.
In order to deal with the large volume of data generated from the next-gen sequencing run, we developed a bioinformatics pipeline to computationally clean, trim, group, analyze, and simplify sequence data dubbed BarcodeCruncher (available at: http://crandalllab.byu.edu/ComputerSoftware.aspx).aspx
LC/MS data generated from untargeted metabolomics experiments are typically processed using freely available bioinformatics software such as XCMS, OpenMS, apLCMS, xMSanalyzer, mzMatch, or MZmine.
> Bioinformatics is a field of development and application of computational approaches to acquire, analyse, visualize and archive data generated from biological systems.
According to the agreement between NNTC and the requesters, experimental data generated from these studies should be made available back to the NNTC and transmitted to the bioinformatics data manager and curator.
In addition, the data generated from this type of analysis are in terms of CT and, thus, do not necessitate further bioinformatics manipulation.
Information about reagents and the data generated from the yeast two-hybrid screens for B. anthracis, F. tularensis, and Y. pestis are available from the Bioinformatics Resource Center Portal at http://www.pathogenportal.net/prc/.net/prc/
Bioinformatics data were generated from five different programs to predict the possible localization sites of Class II & IV HDAs (Table 3).
