Register event
1 event found

Keywords: gene lists 

  • Network analysis of differentially-expressed genes using vissE and Cytoscape

    29 September 2022

    North Melbourne, Australia

    Network analysis of differentially-expressed genes using vissE and Cytoscape https://dresa.org.au/events/network-analysis-of-differentially-expressed-genes-using-visse-and-cytoscape In biological data, similarity between genes/proteins can be exploited to identify biological functions or pathways. For example, investigating pairwise protein-protein interactions can help us identify protein complexes that have related functions. Such analyses require pairwise interaction or similarity data to be represented as a biological network. Once generated, networks can be used to investigate various structural and topological characteristics to identify key entities in the network. A popular and powerful tool to visualise and analyse biological networks is Cytoscape. This workshop is in two parts. First, using an RNAseq data set from human cancer you will use the vissE tool analyse a list of differentially-expressed (DE) genes and generate a PPI network. In the second half you will be introduced to Cytoscape interface and learn how biological networks can be uploaded and analysed in Cytoscape. 2022-09-29 10:30:00 UTC 2022-09-29 15:00:00 UTC Melbourne Bioinformatics 21 Bedford Street, North Melbourne, Australia 21 Bedford Street North Melbourne Australia 3051 University of MelbourneMelbourne Bioinformatics bioinformatics-training@unimelb.edu.au [] beginnersResearchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 20 workshop host_institution CytoscapevissEgene listsNetworks
  • Network analysis of differentially-expressed genes using vissE and Cytoscape

    29 September 2022

    North Melbourne, Australia

    Network analysis of differentially-expressed genes using vissE and Cytoscape https://dresa.org.au/events/network-analysis-of-differentially-expressed-genes-using-visse-and-cytoscape In biological data, similarity between genes/proteins can be exploited to identify biological functions or pathways. For example, investigating pairwise protein-protein interactions can help us identify protein complexes that have related functions. Such analyses require pairwise interaction or similarity data to be represented as a biological network. Once generated, networks can be used to investigate various structural and topological characteristics to identify key entities in the network. A popular and powerful tool to visualise and analyse biological networks is Cytoscape. This workshop is in two parts. First, using an RNAseq data set from human cancer you will use the vissE tool analyse a list of differentially-expressed (DE) genes and generate a PPI network. In the second half you will be introduced to Cytoscape interface and learn how biological networks can be uploaded and analysed in Cytoscape. 2022-09-29 10:30:00 UTC 2022-09-29 15:00:00 UTC Melbourne Bioinformatics 21 Bedford Street, North Melbourne, Australia 21 Bedford Street North Melbourne Australia 3051 University of MelbourneMelbourne Bioinformatics bioinformatics-training@unimelb.edu.au [] beginnersResearchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 20 workshop host_institution CytoscapevissEgene listsNetworks

Note, this map only displays events that have geolocation information in DReSA.
For the complete list of events in DReSA, click the grid tab.