Interpreting genomic data via entropic dissection

PDF Version Also Available for Download.


Article on interpreting genomic data via entropic dissection.

Physical Description

21 p. : col. ill.

Creation Information

Azad, Rajeev K. & Li, Jing October 3, 2012.


This article is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Arts and Sciences to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 31 times . More information about this article can be viewed below.


People and organizations associated with either the creation of this article or its content.


  • Azad, Rajeev K. University of Pittsburgh; Case Western Reserve University; University of North Texas
  • Li, Jing Case Western Reserve University


Provided By

UNT College of Arts and Sciences

The UNT College of Arts and Sciences educates students in traditional liberal arts, performing arts, sciences, professional, and technical academic programs. In addition to its departments, the college includes academic centers, institutes, programs, and offices providing diverse courses of study.

Contact Us


Descriptive information to help identify this article. Follow the links below to find similar items on the Digital Library.

Degree Information


Article on interpreting genomic data via entropic dissection.

Physical Description

21 p. : col. ill.


Abstract: Since the emergence of high-throughput genome sequencing platforms and more recently the next-generation platforms, the genome databases are growing at an astronomical rate. Tremendous efforts have been invested in recent years in understanding intriguing complexities beneath the vast ocean of genomic data. This is apparent in the spurt of computational methods for interpreting these data in the past few years. Genomic data interpretation is notoriously difficult, partly owing to the inherent heterogeneities appearing at different scales. Methods developed to interpret these data often suffer from their inability to adequately measure the underlying heterogeneities and thus lead to confounding results. Here, we present an information entropy-based approach that unravels the distinctive patterns underlying genomic data efficiently and thus is applicable in addressing a variety of biological problems. We show the robustness and consistency of the proposed methodology in addressing three different biological problems of significance—identification of alien DNAs in bacterial genomes, detection of structural variants in cancer cell lines and alignment-free genome comparison.


  • Nucleic Acids Research, 2013, Oxford: Oxford University Press


Item Type


Unique identifying numbers for this article in the Digital Library or other systems.

Publication Information

  • Publication Title: Nucleic Acids Research
  • Volume: 41
  • Issue: 1
  • Pages: 21
  • Peer Reviewed: Yes


This article is part of the following collection of related materials.

UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

What responsibilities do I have when using this article?


Dates and time periods associated with this article.

Creation Date

  • October 3, 2012

Added to The UNT Digital Library

  • July 15, 2014, 5:33 a.m.

Usage Statistics

When was this article last used?

Yesterday: 0
Past 30 days: 1
Total Uses: 31

Interact With This Article

Here are some suggestions for what to do next.

Start Reading

PDF Version Also Available for Download.

International Image Interoperability Framework

IIF Logo

We support the IIIF Presentation API

Azad, Rajeev K. & Li, Jing. Interpreting genomic data via entropic dissection, article, October 3, 2012; [Oxford, England]. ( accessed November 12, 2018), University of North Texas Libraries, Digital Library,; crediting UNT College of Arts and Sciences.