Special Issue "Data Compression for the Life Sciences"

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A special issue of Algorithms (ISSN 1999-4893).

Deadline for manuscript submissions: closed (28 February 2014)

Special Issue Editors

Guest Editor
Prof. Dr. Khalid Sayood
Department of Electrical Engineering, University of Nebraska-Lincoln, 209N Scott Engineering Center, P.O. Box 880511, Lincoln, NE 68588-0511, USA
Website: http://engineering.unl.edu/academicunits/electricalengineering/faculty-staff/sayood.shtml
E-Mail: ksayood1@unl.edu

Guest Editor
Dr. Armando J. Pinho
Departamento de Electrónica, Telecomunicações e Informática, Universidade de Aveiro, 3810-193 Aveiro, Portugal
Website: http://sweet.ua.pt/ap/
E-Mail: ap@ua.pt

Special Issue Information

Dear Colleagues,

The life sciences have been generating an exponential volume of data, a trend that is certain to continue in the forthcoming years. Biomedical imaging, including digital radiology, magnetic resonance and computed tomography, currently contribute the most to this daily production of data. However, genomic data production is growing at a dramatic rate. Currently, while storage capacity is doubling every 18 months, the production of genomic data is doubling at twice that pace. It is the data deluge.

Although general-purpose compression tools are often used to reduce the volume of these data, the best results can only be achieved with specialized algorithms. Moreover, better compression algorithms not only give returns in terms of less storage and transmission time requirements, but potentially also in terms of a deeper understanding of the data source itself, because better compression algorithms imply better underlying data models. In this Special Issue of Algorithms, we seek original contributions to this exciting field, hoping that they will be a source of inspiration for current and forthcoming researchers.

Prof. Dr. Khalid Sayood
Dr. Armando J. Pinho
Guest Editors

Submission

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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed Open Access quarterly 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 300 CHF (Swiss Francs). English correction and/or formatting fees of 250 CHF (Swiss Francs) will be charged in certain cases for those articles accepted for publication that require extensive additional formatting and/or English corrections.


Keywords

  • data compression
  • genomic data compression
  • biomedical image compression
  • biomedical signal compression
  • information theory

Published Papers (1 paper)

Algorithms 2014, 7(3), 276-294; doi:10.3390/a7030276
Received: 26 February 2014; in revised form: 29 April 2014 / Accepted: 26 May 2014 / Published: 26 June 2014
Show/Hide Abstract | PDF Full-text (11707 KB)

Last update: 3 October 2013

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