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Aims and Scope - Journal of Data Mining in Genomics and Proteomics
ISSN: 2153-0602

Journal of Data Mining in Genomics & Proteomics
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

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Aims and Scope

 » Journal of Data Mining in Genomics & Proteomics (JDMGP) is a broad-based journal founded on two key tenets: To publish the most exciting researches related to Data Mining in Genomics & Proteomics. Data Mining in Genomics & Proteomics Second to provide  a rapid turn-around time possible for reviewing and publishing of articles freely for research, teaching and reference purposes.

It is basically aimed at the Clinical Practitioners, medical/ health practitioners, Pharmaceutical   professionals, students, and researchers and professional bodies and institutions.

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All works published by OMICS Group are under the terms of the Creative Commons Attribution License. This permits anyone to copy, distribute, transmit and adapt the work provided the original work and source is appropriately cited. JDMGP strongly supports the Open Access initiative. All published articles will be assigned DOI provided by Cross Ref.  JDMGP will keep up-to- date with latest advances in the field of Data Mining in Genomics & Proteomics. Abstracts and full texts (HTML, PDF and XML format) of all articles published by JDMGP are freely accessible to everyone immediately after publication. JDMGP supports the Bethesda Statement on Open Access Publishing.


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OMICS International is ardent to Open Access. We strongly believe that removing barriers to research published online will greatly aid to the progress in OMICS scientific and technical disciplines


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All published articles will be assigned DOI provided by CrossRef. Journal of Data Mining in Genomics & Proteomics will keep upto date with latest advances in the field and papers published in Journal of Data Mining in Genomics & Proteomics will reach the readers directly by email for free of cost
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Distributed widely through the Internet.

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Archived online in the transactions of the OMICS International, which provides the international scientific community with immediate and permanent access to individual papers

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Journal of Data Mining in Genomics & Proteomics accepts online letters to the editors, brief comments that contributes to the previously published articles or other relevant findings in OMICS field.

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Open Access is a publication model, that enables the dissemination of research articles to the global community without restriction usually through the internet. Thus, all articles published under Open Access can be accessed by anyone with internet connection. Data Mining in Genomics & Proteomics strongly supports the Open Access initiative. Abstracts and full texts (HTML, PDF and XML format) of all articles published by Data Mining in Genomics & Proteomics are freely accessible to everyone immediately after publication
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All works published by OMICS International are under the terms of the Creative Commons Attribution License. This permits anyone to copy, distribute, transmit and adapt the work provided the original work and source is appropriately cited. Journal of Data Mining in Genomics & Proteomics supports the Bethesda Statement on Open Access Publishing.
 
Definition of Open Access Publication

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An Open Access Publication is one that meets the following two conditions:
  • The author(s) and copyright holder(s) grant(s) to all users a free, irrevocable, worldwide, perpetual right of access to, and a license to copy, use, distribute, transmit and display the work publicly and to make and distribute derivative works, in any digital medium for any responsible purpose, subject to proper attribution of authorship, as well as the right to make small numbers of printed copies for their personal use.
     
  • A complete version of the work and all supplemental materials, including a copy of the permission as stated above, in a suitable standard electronic format is deposited immediately upon initial publication in at least one online repository that is supported by an academic institution, scholarly society, government agency, or other well-established organization that seeks to enable Open Access, unrestricted distribution, interoperability, and long-term archiving (for the biomedical sciences, PubMed Central is such a repository).

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As a member of Publisher International linking Association, PILA, Journal of Data Mining in Genomics & Proteomics (of OMICS Publishing Group) follows the Creative Commons Attribution License and Scholars Open Access publishing policies.
 
Note:

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Community standards, rather than copyright law, will continue to provide the mechanism for enforcement of proper attribution and responsible use of the published work, as they do now.

 

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