We thank the Beijing Genomics Institute (BGI) Shenzhen and Genminix Informatics Co. Ltd. for providing technical assistance in DGE and bioinformatics analysis.
The authors would like to acknowledge the Centro de Computación Científica at Universidad Autónoma de Madrid and the Boole Centre for Research in Informatics at University College Cork for providing access to computational facilities.
The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1471-2296/14/150/prepub toanks TheThe Keele GP Research Partnership and the Informatics team at the Arthritis Research UK Primary Care Centre for providing the CiPCA dataset.
Finally, we would like to thank Calcul Quebec, and in particular David Morais, Carol Gauthier, Maxime Lévesque and Alain Veilleux from the MP2 supercomputer of Université de Sherbrooke for providing the informatics infrastructure and their expert assistance.
The authors acknowledged Director, CSIR-IHBT for providing plant material and Xcelris Labs Ltd, (Ahmedabad, India) for NGS data generation and informatics.
We also thank Dr Jane Richardson for providing the qualitative data, Dr Elaine Thomas for advice on the manuscript, the Research User Group and the administrative and informatics staff at the Arthritis Research UK Primary Care Centre at Keele University.
We thank Drs. Kun Huang and Hideaki Kikuchi at the OSU Department of Biomedical Informatics for providing access to the high performance computing cluster.
We thank Dr. Kun Huang at the OSU Department of Biomedical Informatics for providing access to the high performance computing cluster.
This requires an informatics foundation providing for the storage of chemical structures, the accurate mapping of structures to data, and the integration of the various types of data of interest to both our research and to that of the wider scientific community [38].
The challenge for biodiversity informatics is to provide appropriate tools for data cleaningm and to automate procedures for reading data for consistency [ 79], particularly against standard lists (see paragraph 16 above).
In this chapter, we describe how computational biology can be aided by informatics infrastructure to provide the basis for in silico studies that no longer require the generation of data, and instead facilitate the collection, organization, and analysis of existing datasets that can drive discovery.
