Biological Network Analysis and Subnetwork Extraction Tool

Research has presented that when dealing with complex protein chains of various diseases, there is a large amount of proteins that interact with each other in different ways. Due to the complexity of the control mechanisms involved, and the large number of possible interactions, there is a great need for computer-assisted tools. The Biological Net Extranalysis is a tool that helps the user visualize a graph, extract a subnetwork containing the relationships that are significant in the network, and perform network analysis on the graph.

• Publication year

  2018

• Venue

  International Conference on Information, Intelligence, Systems and Applications

• Publication date

  2018-07-01

• Fields of study

  Biology, Computer Science

• Identifiers
  DOI 10.1109/IISA.2018.8633646
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Functional centrality as a predictor of shifts in metabolic flux states

  2016cited by this paper
• Generation of Silver Standard Concept Annotations from Biomedical Texts with Special Relevance to Phenotypes

  2015cited by this paper
• Computational Fact Checking from Knowledge Networks

  2015cited by this paper
• A minimum-labeling approach for reconstructing protein networks across multiple conditions

  2013cited by this paper
• Ten Quick Tips for Using the Gene Ontology

  2013cited by this paper
• TCW: Transcriptome Computational Workbench

  2013cited by this paper
• Effects of protein interaction data integration, representation and reliability on the use of network properties for drug target prediction

  2012cited by this paper
• Potential metabolic mechanism of girls' central precocious puberty: a network analysis on urine metabonomics data

  2012cited by this paper
• Mathematical Structures in Computer Science

  2012cited by this paper
• Model-based clustering reveals vitamin D dependent multi-centrality hubs in a network of vitamin-related proteins

  2011cited by this paper
• Using graph theory to analyze biological networks

  2011cited by this paper
• Examination of the relationship between essential genes in PPI network and hub proteins in reverse nearest neighbor topology

  2010cited by this paper
• Reconstruction and analysis of human liver-specific metabolic network based on CNHLPP data.

  2010cited by this paper
• Trust Transitivity in Social Networks

  2010cited by this paper
• BioGateway: a semantic systems biology tool for the life sciences

  2009cited by this paper
• How to identify essential genes from molecular networks?

  2009cited by this paper
• A survey of visualization tools for biological network analysis

  2008cited by this paper
• Computing topological parameters of biological networks

  2008cited by this paper
• Identifying functional modules in protein–protein interaction networks: an integrated exact approach

  2008cited by this paper
• Getting connected: analysis and principles of biological networks.

  2007influential reference
• Briefings in Bioinformatics Advance Access published July 30, 2006 BRIEFINGS IN BIOINFORMATICS. page1of13

  2006cited by this paper
• Conceptual Distance in Social Network Analysis

  2005cited by this paper
• Centrality Measures Based on Current Flow

  2005cited by this paper
• ProViz: protein interaction visualization and exploration

  2005cited by this paper
• Cytoscape: a software environment for integrated models of biomolecular interaction networks.

  2003cited by this paper
• PATIKA: an integrated visual environment for collaborative construction and analysis of cellular pathways

  2002cited by this paper
• Transitive closure algorithm DISC_TC and its performance analysis

  1996cited by this paper
• Betweenness centrality measures for directed graphs

  1994cited by this paper
• Transitive closure algorithms based on graph traversal

  1993cited by this paper
• Boolean Matrix Multiplication and Transitive Closure

  1971cited by this paper
• Efficient Determination of the Transitive Closure of a Directed Graph

  1971cited by this paper
• A Theorem on Boolean Matrices

  1962cited by this paper
• Communication Patterns in Task‐Oriented Groups

  1950cited by this paper

• No citing papers are available for this paper.