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Journal Special Issue 2019 : Bioinformatics and Computational Biology (IF 4.829)
Journal Special Issue 2019 : Bioinformatics and Computational Biology (IF 4.829)

Journal Special Issue 2019 : Bioinformatics and Computational Biology (IF 4.829)

Cells
Event Date: January 01, 2019 - December 31, 2019
Submission Deadline: December 31, 2019
Notification of Acceptance: December 31, 2019
Camera Ready Version Due: December 31, 2019




Call for Papers

***If rejected, you can try others such as***

http://www.techscience.com/cmes/special/spec16.html



Dear Colleagues,

In recent years, we have witnessed a series of breakthroughs in molecular biology and its companion technologies; for instance, CRISPR-Cas9 technology has attracted worldwide attention for its translational applications to human embryo gene editing; the latest high-throughput sequencing technology such as nanopore sequencing has also enabled us to respond to Ebola virus spread in a rapid manner. Nonetheless, those wet-lab technologies have raised multitudes of computational challenges such as off-target sequence analysis, combinatorial sequence mutation patterns, genotype–phenotype relationship mining, high-throughput sequencing data processing, and genomic data integration with other medical data (e.g., electronic health records and medical imaging).

Therefore, in this Special Issue, we envision that bioinformatics and computational biology will play a larger role than in the past for addressing these computational challenges. We invite your contributions, either in the form of original research articles, reviews, or shorter perspective articles on all aspects related to the theme of “Bioinformatics and Computational Biology”. Articles with sound methodology and scientific practice are particularly welcomed. Relevant topics include, but are not limited to, the following:

•Bioinformatics
•Computational biology
•Biostatistics
•Health informatics
•Medical informatics
•Evolutionary bioinformatics
•Genome research
•Metagenomic research
•High-throughput sequencing technology
•High-throughput biodata management
•Emerging topics in bioinformatics
•Emerging topics in computational biology

Dr. Ka-Chun Wong
Dr. Kathleen Steinhofel
Dr. James Cai
Dr. Pingzhao Hu
Guest Editors


Manuscript Submission Information



Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cells is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


Keywords

•Bioinformatics
•Computational biology
•Biostatistics
•Health informatics
•Medical informatics
•Evolutionary bioinformatics
•Genomics
•Metagenomics
•High-throughput sequencing technology
•High-throughput biodata management



Published Papers

This special issue is now open for submission.



Credits and Sources

[1] Journal Special Issue 2019 : Bioinformatics and Computational Biology (IF 4.829)


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