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SC-PCEB 2020 : Special Collection: PARALLEL COMPUTING IN EVOLUTIONARY BIOINFORMATICS

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Link: https://journals.sagepub.com/page/evb/collections/special-collections/parallel-computing-in-evolutionary-bioinformatics
 
When N/A
Where N/A
Submission Deadline Dec 31, 2020
Categories    computer science   parallel computing   bioinformatics   evolutionary computation
 

Call For Papers

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SPECIAL COLLECTION: PARALLEL COMPUTING IN EVOLUTIONARY BIOINFORMATICS

https://journals.sagepub.com/page/evb/collections/special-collections/parallel-computing-in-evolutionary-bioinformatics

Journal: Evolutionary Bioinformatics
JCR Impact Factor (2018): 2.203 (Q2)
Publisher: SAGE Publishing, USA

Accepted papers will be published continuously from Aug. 2019 to Aug 31, 2020.
Publication in approximately 4-5 weeks after final acceptance.
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OVERVIEW:

In the last decade, the omics revolution and the application of deep AI technologies to evolutionary bioinformatics have significantly boosted the computing power and storage demands of this field.
At the same time, high performance computing (HPC) has also witnessed a revolution that has turned it into a jungle populated by very different types of parallel computing systems exploiting parallelism at different levels. They include multi- and many-core CPUs, GPUs, FPGAs, TPUs or heterogeneous systems joining together several of those types of devices. In addition, cloud computing techniques can also contribute to foster the application of bioinformatics algorithms by turning them into a service (Bioinformatics as a Service, BaaS).
The aim of this Special Collection is to present the state of the art on the emerging challenges and achievements regarding the use of parallel computing hardware and software techniques applied to evolutionary bioinformatics and computational evolutionary biology.
Topics of interest include, but are not limited to, the application of the following hardware or software techniques to accelerate evolutionary bioinformatics applications:
* Multicore and manycore CPUs
* Clusters
* Emerging hardware accelerators: GPUs, FPGAs, TPUs
* Cloud computing
* Grid computing
* Parallel deep learning
* Neuromorphic computing
* Unconventional computing techniques


MANUSCRIPT SUBMISSION DUE:
December 31, 2020


GUEST EDITORS:

Dr. José Luis Guisado Lizar, University of Seville, Spain. Email: jlguisado@us.es
Dr. Juan Antonio Gómez Pulido, University of Extremadura, Spain. Email: jangomez@unex.es
Dr. Fernando Díaz del Ri­o, University of Seville, Spain. Email: fdiaz@us.es


ABOUT SPECIAL COLLECTIONS:

A Special Collection is an opportunity for an OA journal to cultivate a collection of articles around a specific topic, meeting/conference, or a newsworthy development, much in the way a Special Issue functions for a subscription journal. Special Collections are highlighted on the homepage for increased visibility and in most cases receive their own dedicated marketing efforts.


OPEN ACCESS ARTICLE PROCESSING CHARGE (APC) INFORMATION: 50% off of the current standing APC.

Evolutionary Bioinformatics is an open access, peer-reviewed journal. Each article accepted by peer review is made freely available online immediately upon publication, is published under a Creative Commons license and will be hosted online in perpetuity. There is no fee for submitting an article. If, after peer review, your manuscript is accepted for publication, a one-time article processing charge (APC) is payable. Articles invited to submit to a Special Collection are eligible for a discounted Article Processing Charge (APC). Should your article be accepted, you will receive 50% off of the current standing APC, which you can find listed on the journal homepage.


MANUSCRIPT PREPARATION AND SUBMISSION:

Please select the Special Collection title when prompted during the submission process to indicate your interest in publishing in this Special Collection.
Follow the guidelines in the Special Collection web page:
https://journals.sagepub.com/page/evb/collections/special-collections/parallel-computing-in-evolutionary-bioinformatics

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