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Related Concept Videos

Genomics02:02

Genomics

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...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
Synthetic Biology02:55

Synthetic Biology

Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

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Related Experiment Video

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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

MOVE: a multi-level ontology-based visualization and exploration framework for genomic networks.

Diederik W J Bosman1, Evert-Jan Blom, Patrick J Ogao

  • 1Institute for Mathematics and Computing Science, University of Groningen, Netherlands.

In Silico Biology
|August 11, 2007
PubMed
Summary

This study introduces an open-source software framework for visualizing and exploring complex biological networks, addressing limitations of existing tools for systems biology research.

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Area of Science:

  • Bioinformatics
  • Systems Biology
  • Genomics

Background:

  • Systems biology aims to understand dynamic cellular interactions across genomic, transcriptomic, proteomic, and metabolomic levels.
  • These interactions form complex, interconnected biological networks.
  • Current bioinformatics tools are specialized and lack consistency for diverse network analyses.

Purpose of the Study:

  • To conceptually develop an open-source, extensible software framework.
  • To support visualization and exploration of complex genomic networks (e.g., metabolic, gene regulatory).
  • To address the shortcomings of existing network visualization systems.

Main Methods:

  • Analysis of requirements for network visualization.
  • Review of the state-of-the-art in network visualization systems and their limitations.
  • Conceptual design and initial module implementation of a new software framework.

Main Results:

  • The proposed framework is designed to be open-source and extensible.
  • Initial modules were implemented and applied to a biological test case.
  • Demonstrated the relevance and feasibility of the framework for bacterial gene regulation analysis.

Conclusions:

  • The developed framework offers a consistent approach for analyzing diverse biological networks.
  • It addresses the limitations of existing specialized bioinformatics tools.
  • The approach is relevant and feasible for advancing systems biology research.