Used Genes2Networks for Windows?


Genes2Networks Analysis

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Genes2Networks is an educational reference software designed for Windows that facilitates the analysis of gene interactions and networks. This program allows users to input gene lists and generates interactive network visualizations, enabling researchers and students to better understand the complex relationships between genes and their functions. With a user-friendly interface, Genes2Networks supports the exploration of pathways and biological processes, making it a valuable tool in genomics and molecular biology education.

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The software leverages existing databases to enhance the analysis, providing access to a wealth of genetic information. Users can customize their network visualizations and export results for further analysis. Genes2Networks is particularly beneficial for those involved in research or education in the life sciences, offering insights into gene regulatory mechanisms and the functional implications of genetic variations.


Used Genes2Networks for Windows?


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Full Specifications

GENERAL
Release
Latest update
Version
1
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows Vista
  • Windows 2000
  • Windows 3
  • Windows XP
  • Windows 95
  • Windows ME
  • Windows NT
  • Windows 98
  • Windows 10
Additional Requirements
DOS, Windows 3.x/95/98/Me/NT/2000/XP/2003 Server/Vista
POPULARITY
Total Downloads
742
Downloads Last Week
0

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Developer’s Description

Place list of mammalian genes in mammalian signalome and interactome networks in SIG format.

Genes2Networks is a command-line software tool that can be used to place lists of mammalian genes in the context of a background mammalian signalome and interactome networks.

The input to the program is a list of human Entrez Gene gene symbols and background networks in SIG format, while the output includes: all identified interactions for the genes/proteins, a subnetwork connecting the genes/proteins using intermediate components that are used to connect the genes, ranking of the specificity of intermediate components to interact with the list of genes/proteins, and a clustering analysis of the genes/proteins from the seed list based on their distance from one another in network space.


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AI Assisted Content Disclosure

Content created and reviewed by Softonic with information obtained from Mount Sinai School of Medicine Ma'ayan, using AI.

CNET's editorial team was not involved in the creation of this content. Opinions, analysis and reviews were not provided by CNET.