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Conference Paper
L. Han, van Hemert, J., Baldock, R., and Atkinson, M. P., Automating Gene Expression Annotation for Mouse Embryo, in Lecture Notes in Computer Science (Advanced Data Mining and Applications, 5th International Conference), 2009, vol. LNAI 5678, pp. 469-478.
G. McGilvary, Rius, J., Goiri, Í., Solsona, F., Barker, A., and Atkinson, M. P., C2MS: Dynamic Monitoring and Management of Cloud Infrastructures, in IEEE CloudCom, Bristol, UK, 2013.
E. Hunt, Atkinson, M. P., and Irving, R. W., A Database Index to Large Biological Sequences, in VLDB, 2001, pp. 139-148.
M. P. Atkinson, Databases and the Grid: Who Challenges Whom?, in BNCOD, 2003, pp. 1-2.
T. Printezis, Atkinson, M. P., and Jordan, M. J., Defining and Handling Transient Fields in PJama, in DBPL, 1999, pp. 129-151.
M. P. Atkinson, van Hemert, J., Han, L., Hume, A., and Liew, C. S., A Distributed Architecture for Data Mining and Integration, in Data-Aware Distributed Computing (DADC'09), in conjunction with the 18th International Symposium on High Performance Distributed Computing, 2009, pp. 11-20.
R. {\"u}diger Berlich, Hardt, M., Kunze, M., Atkinson, M. P., and Fergusson, D., EGEE: building a pan-European grid training organisation, in ACSW Frontiers, 2006, pp. 105-111.
A. Barker, van Hemert, J. I., Baldock, R. A., and Atkinson, M. P., An E-infrastructure to Support Collaborative Embryo Research, in Cluster Computing and the Grid, 2009, p. 520--525.
M. Dmitriev and Atkinson, M. P., Evolutionary Data Conversion in the PJama Persistent Language, in ECOOP Workshops, 1999, pp. 211-212.
M. Dmitriev and Atkinson, M. P., Evolutionary Data Conversion in the PJama Persistent Language, in ECOOP Workshop on Object-Oriented Databases, 1999, pp. 25-36.
E. Deelman, Singh, G. S., Atkinson, M. P., Chervenak, A. L., Hong, N. C. P., Kesselman, C., Patil, S., Pearlman, L., and Su, M. - H., Grid-Based Metadata Services, in SSDBM, 2004, pp. 393-402.
M. P. Atkinson and Jordan, M. J., Issues Raised by Three Years of Developing PJama: An Orthogonally Persistent Platform for Java, in ICDT, 1999, pp. 1-30.
A. Grant, Antonioletti, M., Hume, A. C., Krause, A., Dobrzelecki, B., Jackson, M. J., Parsons, M., Atkinson, M. P., and Theocharopoulos, E., OGSA-DAI: Middleware for Data Integration: Selected Applications, in ESCIENCE '08: Proceedings of the 2008 Fourth IEEE International Conference on eScience, Washington, DC, USA, 2008, p. 343.
M. P. Atkinson, Persistence and Java - A Balancing Act, in Objects and Databases, 2000, pp. 1-31.
M. P. Atkinson, Dmitriev, M., Hamilton, C., and Printezis, T., Scalable and Recoverable Implementation of Object Evolution for the PJama1 Platform, in POS, 2000, pp. 292-314.
C. S. Liew, Atkinson, M. P., van Hemert, J., and Han, L., Towards Optimising Distributed Data Streaming Graphs using Parallel Streams, in Data Intensive Distributed Computing (DIDC'10), in conjunction with the 19th International Symposium on High Performance Distributed Computing, Chicago, Illinois, 2010, pp. 725-736.
Journal Article
E. Hunt, Atkinson, M. P., and Irving, R. W., Database indexing for large DNA and protein sequence collections, VLDB J., vol. 11, pp. 256-271, 2002.
M. P. Atkinson, Liew, C. S., Galea, M., Martin, P., Krause, A., Mouat, A., Corcho, O., and Snelling, D., Data-Intensive Architecture for Scientific Knowledge Discovery, Distributed and Parallel Databases, vol. 30, no. 5, pp. 307-324, 2012.
M. Antonioletti, Atkinson, M. P., Baxter, R. M., Borley, A., Hong, N. C. P., Collins, B., Hardman, N., Hume, A. C., Knox, A., Jackson, M., Krause, A., Laws, S., Magowan, J., and Pato, The design and implementation of Grid database services in OGSA-DAI, Concurrency - Practice and Experience, vol. 17, pp. 357-376, 2005.
T. Printezis and Atkinson, M. P., An efficient object promotion algorithm for persistent object systems, Softw., Pract. Exper., vol. 31, pp. 941-981, 2001.
M. P. Atkinson, Guest editorial, VLDB J., vol. 9, pp. 175-176, 2000.
F. Zhu, Rodríguez, D., Carpenter, T. K., Atkinson, M. P., and Wardlaw, J. M., Lesion Area Detection Using Source Image Correlation Coefficient for CT Perfusion Imaging, IEEE Journal of Biomedical and Health Informatics, vol. 17, no. 5, pp. 950 - 958, 2013.

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