Parallelism in computational biology: A view from diverse high-performance computing applications. (May 2018)

• Record Type: Journal Article
• Authors: Vega-Rodríguez, Miguel A; Rubio-Largo, Álvaro
• Other Names: Vega-Rodríguez Miguel A guest-editor.; Rubio-Largo Álvaro guest-editor.
• Is Part Of: International journal of high performance computing applications. Volume 32:Number 3(2018)
• Page Start: 317
• Page End: 320
• Publication Date: 2018-05
• Subjects: Parallelism -- computational biology -- high-performance computing -- applications; High performance computing -- Periodicals; Supercomputers -- Periodicals; 004.1105
• DOI: 10.1177/1094342016677599
• Languages: English
• ISSNs: 1094-3420

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 (theThird 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.