Today’s genomic experiments have to process the so-called “biological data” that is now reaching the size of Terabytes and Petabytes. To process this huge amount of data, scientists may require weeks or months if they use their own workstations. Parallel computing environments can be applied for reducing the total processing time and to ease the management, treatment, and analyses of this data. However, running bioinformatics experiments in environments such as clouds, grids and clusters and requires the expertise from scientists to integrate computational, biological, and mathematical techniques and technologies. Several solutions have already been proposed to allow scientists for processing their genomic experiments using parallelism techniques.
Our objective of the special issue is to gather the main characteristics, benefits, and challenges that can be considered by scientists when running their genomic experiments to benefit from parallelism techniques and high performance computing capabilities.
Potential topics included, but not limited
Emerging parallel programming models in bioinformatics
Parallel visualization, modelling, simulation, and exploration in bioinformatics.
Heterogeneous computing in bioinformatics
Hybrid parallel computing for geometrical motif search in proteins
High performance computing for gene screening
Parallel computing for computational and statistical genetics including gene network, genome sequences analysis
Biological and numerical parallel computing
Soft computing algorithms in bioinformatics and computational biology
Biological and chemical databases for big data management
Parallel computing for large scale proteomics
Molecular visualization of biological big data
Parallel computing for cell/nuclei segmentation/tracking
Deadline for the manuscript submission : 3o December 2020 Notification of Acceptance : 30 June 2021
Contributions to this Special Issue must be strictly original papers which have not been submitted or already published earlier. All manuscripts should be submitted via the journal’s online submission and peer-review systems at https://www.evise.com/evise/jrnl/jocs. The submission system will be opened from 1st August 2020 until 31st December 2020. When submitting your manuscript please select the article type “SI: Parallel Computing”. Please ensure you read the Guide for Authors (https://www.elsevier.com/journals/journal-of-computational-science/1877-7503/guide-for-authors) before writing your manuscript.
Dr.Rocío Pérez de Prado, Ph.D.
Profesora Titular de Universidad del Departamento de Ingeniería de Telecomunicación
Associate Professor at the Telecommunication Engineering Department
University of Jaen
Email : email@example.com
Prof.Young Ho Kim
Department of Mathematics
Email : firstname.lastname@example.org
Prof. Anand Paul
Kyungpook National University, South Korea