To date, only a handful of user-friendly software tools have been published for the analysis of tiled microarray data [1], [2], [3].
Therefore, several online tools have been published recently that simplify computational tasks.
Several tools have been published that generate multiple variant annotations at once, which can be tremendously useful for shortening the analysis time (e.g. ANNOVAR, SeattleSeq or VARIANT).
Despite the high potential of labeling-assisted metabolomics approaches, only a few data processing tools have been published which specifically exploit the labeling-associated data pattern.
It is only in the last year several systematic reviews of health literacy assessment tools have been published recently [ 9- 11], along with a paper discussing the evolution of health literacy tools [ 12].
Several clinical tools have been published to help providers reduce hyperpharmacotherapy. Bushardt and Jones (2005) previously developed and published a series of nine questions for physician assistants to use to guide the drug therapy evaluation process (see Table 3).
It is not surprising then, that several protocol papers to develop organisational readiness for change tools have been published recently [ 59, 64, 65] and importantly, reflect just one component of an overall judgement of MoC readiness.
In addition, tools have been published that can determine significant mutations in cancer by using groups of tumor/normal sample pairs, clinical data and identified variants from the cohort under investigation [ 151].
In the last decades, several applications using FT-IR spectroscopy and multivariate chemometric tools have been published to monitor yeast metabolism taking advantage of the high sensitivity to small changes in the composition of cells [ 12– 15].
In addition, software tools have been published that support only the Illumina platform (i.e. FASTX-Toolkit (http://hannonlab.cshl.edu/fastx_toolkit), PIQA [ 61] and TileQC [ 62]) or provide certain specialized functionality (i.e. TagCleaner [ 63]).
