Open Computer Science: Computational methods in bioinformatics and biomedicine
DESCRIPTION
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The introduction of new technologies in molecular biology and biomedicine leads to new interesting problems from a theoretical/algorithmic and an experimental point of view. These new technologies produce a huge amount of data. The analysis of this huge amount of data produced by these technologies requires extremely efficient methods and introduces new computational challenging problems.
This special issue seeks new contributions on novel computational approaches and protocols to relevant problems in bioinformatics and biomedicine, including: algorithm design (theoretical and experimental aspects), applied bioinformatics and biomedicine, artificial and computational intelligence, data analytics, distributed computing, e-health and m-health applications.
EDITED BY |
Riccardo Dondi, Universita degli Studi di Bergamo, Italy
Italo Zoppis, University of Milano-Bicocc, Milano. Italy
HOW TO SUBMIT |
Before submission authors should carefully read the Instructions for Authors, which are located here. All submissions to the Special Issue must be made electronically at via online submission system Editorial Manager.
All manuscripts will go through the Open Computer Science high standards, quick, fair and comprehensive peer-review procedure. When entering your submission via online submission system please choose the type article Computational methods in bioinformatics and biomedicine
The deadline for the submissions is November 30, 2017, but individual papers will be reviewed and published online as they arrive.
Contributors to the Special Issue will benefit from:
- fair and constructive peer review provided by recognized experts in the field,
- Open Access to your article for all interested readers,
- fast online publication of articles,
- online submission and tracking system,
- free language assistance for authors from non-English speaking regions;
- no Article Processing Charge
Managing Editor: Karolina.Hejbudzka@degruyteropen.com