Affiliation:
1. Escuela Politecnica, University of Extremadura, Cáceres, Spain
2. NOVA Information Management School, University Nova of Lisbon, Portugal
Abstract
Computational biology allows and encourages the application of many different parallelism-based technologies. This special issue brings together high-quality state-of-the-art contributions about parallelism-based technologies in computational biology, from different points of view or perspectives, that is, from diverse high-performance computing applications. The special issue collects considerably extended and improved versions of the best papers, accepted and presented in PBio 2015 (the Third International Workshop on Parallelism in Bioinformatics, and part of IEEE ISPA 2015 ). The domains and topics covered in these seven papers are timely and important, and the authors have done an excellent job of presenting the material.
Subject
Hardware and Architecture,Theoretical Computer Science,Software
Cited by
3 articles.
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