A detailed treatment of the NeuroTrax system, including the computerized tests, data processing, and usability considerations appears in a supplementary document (Additional File 1).
Despite experience acquired from gene expression microarrays, analyzing Infinium Methylation arrays appeared more complex than initially thought and several difficulties have been encountered, as those arrays display specific features that need to be taken into consideration during data processing.
The regulation's data protection by design requirements also mean privacy considerations need to be baked into the data processing lifecycle, ergo policies and processes must be in place, alongside strong IT governance and security measures, to ensure compliance with the law — with the idea being to shrink the ability for attackers to intrude as happened so extensively in the Yahoo breaches.
In this work, all the data lifecycle, from collection to analysis, is handled, taking into consideration the different data processing speeds that can exist in the real environment of a factory (batch or stream).
Finally, on consideration of all data processing steps including by final visualising and under networking with biological databases, we are able to build a bridge between graph information in conjunction with a biological context.
In this review, we describe the workflow commonly applied to the conduct of lipidomic studies including important aspects of study design, sample preparation, biomarker identification and quantification, and data processing and analysis, as well as crucial considerations in clinical applications.
This is not a significant problem within EM experiments as doublets can be easily removed by standard data processing techniques but it must be a consideration for other experimental averaging approaches such as, for example, X-ray or neutron scattering.
Nevertheless, analyzing 450K data is more complex than initially thought, and data processing and interpretation need to be given particular consideration and care.
Furthermore, published deep sequencing strategies make ample use of probabilistic considerations, which are often integrated into data processing algorithms [5,6].
The most recent developments in the field incorporate such diverse disciplines as ethnography and linguistics and extend consideration to phases of the survey process in addition to questioning, including data processing and presentation.
