Life Sciences applications typically involve large volumes of data of various kinds and a multiplicity of software tools for managing, analysing and interpreting them. There are many challenging problems in the processing of life sciences data that require effective support by novel theories, methods and technologies. Conceptual modelling is the key for developing high-performance information systems that put these theories, methods and technologies into practice. The fast growing interest in life sciences applications calls for special attention on resource integration and collaborative efforts in information systems development. © 2010 Springer-Verlag.
CITATION STYLE
Chen, Y. P. P., Hartmann, S., & Wang, J. (2010). Third International Workshop on Conceptual Modelling for Life Sciences Applications (CMLSA 2010). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6413 LNCS, p. 53). https://doi.org/10.1007/978-3-642-16385-2_7
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