@inproceedings{24de4172de32490a8f220b07699c1ca8,
title = "Orchestrating task execution in cloud4psi for scalable processing of macromolecular data of 3D protein structures",
abstract = "The growing amount of biological data, including macromolecular data describing 3D protein structures, encourages the scientific community to reach for computing resources of the Cloud in order to process and analyze the data on a large scale. This applies, among many different analytical processes performed in bioinformatics, to protein structure alignment and similarity searching. In this paper, we show a parameter sweep-based approach for scheduling computations related to massive 3D protein structure alignments performed with Cloud4PSi system working on Microsoft Azure public cloud.",
keywords = "3D protein structure, Alignment, Bioinformatics, Cloud computing, Microsoft azure, Parameter sweep, Proteins, Scheduling",
author = "Dariusz Mrozek and Artur K{\l}apci{\'n}ski and Bo{\.z}ena Ma{\l}ysiak-Mrozek",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 9th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2017 ; Conference date: 03-04-2017 Through 05-04-2017",
year = "2017",
doi = "10.1007/978-3-319-54430-4\_69",
language = "English",
isbn = "9783319544298",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "723--732",
editor = "Satoshi Tojo and Nguyen, \{Le Minh\} and Nguyen, \{Ngoc Thanh\} and Bogdan Trawinski",
booktitle = "Intelligent Information and Database Systems - 9th Asian Conference, ACIIDS 2017, Proceedings",
address = "Germany",
}