[3dem] CFP - “Bio-molecular data modeling and mining” published by the journal of Molecular Based Mathematical Biology (MBMB)

[Dong Si]

Dear all,

There is a special issue “Bio-molecular data modeling and mining”
published by the journal of Molecular Based Mathematical Biology
(MBMB). Although the initial deadline has already passed. The MBMB
accepts papers in a continuous fashion. It’s no problem for submitting
to this special issue later. Please see below for detailed
information.

Best,

Dong

---
Dong Si, Ph.D
Computing and Software Systems, University of Washington, Bothell
18115 Campus Way NE, Bothell, WA 98011
ph: 425-352-5389 <(425)%20352-5389> fax: 425-352-5216
<(425)%20352-5216>faculty.washington.edu/dongsi



*Call for papers*



*Bio-molecular data modeling and mining*



The journal Molecular Based Mathematical Biology (MBMB) will publish a
special issue entitled “*Bio-molecular data modeling and mining*”. The
purpose of this special issue is to create a medium for researchers from
mathematical, computational and biological sciences and other related
disciplines to report novel mathematical models, computational algorithms,
and biological applications to the data mining, machine learning, knowledge
discovery and pattern recognition from large-scale bio-molecular data of
various types and dimensionalities, include but not limit to 1D sequence,
2D image, 3D volume and structure data.



MBMB (http://www.degruyter.com/view/j/mlbmb) is a recently established
journal, whose aim is to promote the mathematical study and findings of
biological structure, functions and dynamics at the molecular scale.
Original papers and high-quality review articles on the aforementioned
topics are solicited for this special issue.



Potential topics include, but are not limited to:



-       Cryo-Electron Microscopy (Cryo-EM) data analysis

-       Image processing, graphical modeling and visualization

-       Geometric and topological modeling of macromolecules

-       Structural determination and molecular shape analysis of molecules

-       Structure Alignment of macromolecules

-       Machine learning and data mining in molecular big data

-       Algorithms, analysis and validation for bio-molecular data

-       Molecule-related software or database development

-       Gene regulatory network and genome wide association study

-       Metagenomics data analysis and modeling of Epigenetics data

-       Single cell sequencing data analysis



Before submission authors should carefully read over the author guidelines,
which are located at http://www.degruyter.com/view/j/mlbmb. All manuscripts
are subject to the standard peer review process before publication. Please
note the publisher has waived the Article Processing Charges for this
special issue, but articles will be open-access in accordance with the
overall goals of the journal. Prospective authors should submit their
manuscript on line at http://mlbmb.edmgr.com/



We are looking forward to your submission. If you have any questions,
please contact Dr. Dong Si at donsi at uw.edu.
<https://mail.ncmir.ucsd.edu/mailman/listinfo/3dem>



Important Dates: Manuscript Due, August 1, 2017 (The MBMB accepts
papers in a continuous fashion. It’s no problem for submitting to this
special issue later); First round of reviews:Sept. 15, 2017;
Anticipated publication date: Dec. 15, 2017

Guest editors: Dr. Dong Si (lead), University of Washington, Bothell; Dr.
Ping Ma, University of Georgia; Dr. Kamal Al Nasr, Tennessee State
University; Dr. Yonggang Lu, Lanzhou University, China.
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