alexa OmicsMiner: A Biological Data Mining Framework | OMICS International | Abstract
ISSN: 2153-0602

Journal of Data Mining in Genomics & Proteomics
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Research Article

OmicsMiner: A Biological Data Mining Framework

Zhenguo Zhou1, Michael Netzer2, In-Hee Lee1, Michael Handler2, Vijay Anand Manickam1, Christian Baumgartner2, Gerald H Lushington1 and Mahesh Visvanathan1*

1Bioinformatics Core Facility, University of Kansas, Lawrence, KS 66047, USA

2Institute of Electrical, Electronic and Bioengineering, University for Health Sciences, Medical Informatics and Technology (UMIT), Tirol, Austria

*Corresponding Author:
Mahesh Visvanathan
Bioinformatics Core Facility
University of Kansas
Lawrence, KS 66047, USA
E-mail: [email protected]

Received date: November 19, 2011; Accepted date: March 23, 2012; Published date: March 25, 2012

Citation: Zhou Z, Netzer M, Lee IH, Handler M, Manickam VA, et al. (2012) OmicsMiner: A Biological Data Mining Framework. J Data Mining in Genom Proteomics 3:115. doi:10.4172/2153-0602.1000115

Copyright: © 2012 Zhou Z, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

OmicsMiner is a computational platform providing systematic access to state-of-the-art data processing and mining methods with the goal of facilitating the design of customized pipelines for processing a diverse range of biological data sets. Many built-in methods are provided for preprocessing, feature selection, clustering and classification of complex datasets. The platform supports convenient integration of additional algorithms that can further expand its functionality. OmicsMiner also provides convenient and concise interactive graphical user interfaces for data processing. OmicsMiner is a Java program that is platform-independent and does not require installation.

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