Specifically, there is a need for the development of informatics training centers that produce experts who derive meaning from large omics datasets, including data curators and wranglers.
Complementing these data-generation efforts is the development of informatics tools to facilitate computational analysis of predicted tissue-phenotype associations for phenotypic observations in genetically altered mice (Oellrich et al., 2014).
The growing importance of cross-institutional translational research and advancement in the development of informatics tools that are capable of analyzing clinical tissue sample has increased the need of research community for high quality and well annotated biospecimens.
While the use of "genomic" methods to facilitate property prediction, virtual design, and discovery of materials is relatively new, the concepts driving the development of materials informatics are based, solidly, on the lessons learned during the development history of cheminformatics and bioinformatics.
While many of the issues addressed in this paper are applicable to a wide spectrum of molecular-based products, we focus our work on the development of pharmaceutical informatics to support Active Pharmaceutical Ingredient (API) as well as drug product development as case studies to illustrate the various aspects of this infrastructure.
With the development of medical informatics and molecular biology, vast amounts of biomedical data have been accumulated.
Also, the authors suggest a continued and expanded centralization of many of the rare disease activities including the development of an informatics driven initiative.
The production of this model was supported by the development of an informatics infrastructure to aid with capture and analysis of experimental data.
In this white paper we must establish a stronger focus and a direction to guide the development of biodiversity informatics in Europe over the next decade whilst at the same time allow for serendipity.
We are witnessing a powerful resurgence of this idea made possible by the availability of nearly complete genome sequences, ever improving gene annotations and interactome network maps, the development of sophisticated informatic and imaging tools, and importantly, the use of engineering and physics concepts such as control and graph theory.
The development of powerful informatic tools such as PSI-BLAST now permits the identification of a large number (> 500) of MACPF proteins.
