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Services, Standards, and Technologies for High Performance Computational Proteomics

  • Conference paper
Book cover Frontiers of High Performance Computing and Networking ISPA 2007 Workshops (ISPA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4743))

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Abstract

Proteomics is about the study of the proteins expressed in an organism or a cell. Computational Proteomics regards the computational methods, algorithms, databases, and methodologies used to manage, analyze and interpret the data produced in proteomics experiments. The broad application of proteomics and the increasing resolution offered by technological platforms, especially in Mass Spectrometry-based high-throughput proteomics, make the analysis of proteomics experiments difficult and error prone without efficient algorithms and easy-to-use tools. The paper discusses the requirements of Mass Spectrometry-based Computational Proteomics applications and surveys important services, standards, and technologies useful to build modular, scalable and reusable applications in this field.

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Authors and Affiliations

  1. Laboratory of Bioinformatics, University Magna Græcia of Catanzaro, 88100 Catanzaro, Italy

    Mario Cannataro & Pierangelo Veltri

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  1. Mario Cannataro
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  2. Pierangelo Veltri
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Editor information

Parimala Thulasiraman Xubin He Tony Li Xu Mieso K. Denko Ruppa K. Thulasiram Laurence T. Yang

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Cannataro, M., Veltri, P. (2007). Services, Standards, and Technologies for High Performance Computational Proteomics . In: Thulasiraman, P., He, X., Xu, T.L., Denko, M.K., Thulasiram, R.K., Yang, L.T. (eds) Frontiers of High Performance Computing and Networking ISPA 2007 Workshops. ISPA 2007. Lecture Notes in Computer Science, vol 4743. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74767-3_42

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  • DOI: https://doi.org/10.1007/978-3-540-74767-3_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74766-6

  • Online ISBN: 978-3-540-74767-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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