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Related Concept Videos

Control Volume and System Representations01:16

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Two key frameworks are employed to analyze mass, energy, and momentum transfer: the control volume approach and the system approach. These frameworks offer different perspectives, depending on whether the focus is on a specific region in space (control volume approach) or a defined mass of fluid (system approach).
The control volume approach considers a stationary region in space through which fluid flows. This region is bounded by a control surface.  For instance, in the case of water...
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State Space Representation01:27

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The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
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Genomics02:02

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Graphical and Analytic Representation of Sinusoids01:20

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Analyzing two sinusoidal voltages with equal amplitude and period but different phases on an oscilloscope, an instrument used to display and analyze waveforms, involves a three-step process.
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Vector Representation of Complex Numbers01:16

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Complex numbers, represented in Cartesian coordinates, can also be visualized as vectors. These vectors can be expressed in polar form, emphasizing their magnitude and angle. When a complex number is input into a function, the output is another complex number, highlighting the function's zero point from which the vector representation can originate.
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Genomic Imprinting and Inheritance02:30

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Diploid organisms inherit genetic material through chromosomes from both parents. Copies of the same gene are known as alleles. In most cases, both alleles are simultaneously expressed and allow various cellular processes to function optimally. If one of the alleles is missing or mutated, the expression of the other allele can compensate; however, this is not true for all genes.
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Updated: Jan 26, 2026

Three-dimensional Imaging of Bacterial Cells for Accurate Cellular Representations and Precise Protein Localization
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Adding Security and Privacy to Genomic Information Representation.

Jaime Delgado1, Silvia Llorente1, Daniel Naro1

  • 1Information Modeling and Processing - Distributed Multimedia Applications Group (IMP - DMAG), Computer Architecture Dept. (DAC), Universitat Politècnica de Catalunya (UPC).

Studies in Health Technology and Informatics
|April 4, 2019
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New genomic data standards offer enhanced security and privacy. MPEG-G (ISO/IEC 23092) provides flexible protection for genomic information using combined security techniques and privacy rules.

Keywords:
Genomic informationMPEG-GPrivacy rulesProtectionSecurity

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Area of Science:

  • Bioinformatics
  • Data Security
  • Genomic Data Representation

Background:

  • Genomic data security and privacy are critical challenges in current information representation.
  • Existing genomic data formats offer limited or incomplete solutions for data protection.
  • There is a growing demand for advanced methods to secure sensitive genomic information.

Purpose of the Study:

  • To introduce and evaluate the security and privacy features of the MPEG-G standard for genomic information representation.
  • To demonstrate how MPEG-G addresses the limitations of existing formats in protecting genomic data.
  • To present a novel approach for flexible data protection within the MPEG-G framework.

Main Methods:

  • Utilizing the MPEG-G (ISO/IEC 23092) standard for genomic information representation.
  • Implementing a combination of advanced security techniques.
  • Applying specific privacy rules tailored for genomic data.

Main Results:

  • MPEG-G provides a robust framework for representing genomic information.
  • The implemented security and privacy measures offer flexible protection to stored genomic data.
  • The solution effectively addresses the shortcomings of previous genomic data formats.

Conclusions:

  • MPEG-G offers a comprehensive solution for secure and private genomic data representation.
  • The standard's flexible protection mechanisms are crucial for safeguarding sensitive genetic information.
  • MPEG-G is a significant advancement in managing and protecting genomic data.