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Short description:
Please summarise the application in a few sentences. Avoid links here. EaSeq is developed for user-friendly exploration, visualization and analysis of genome-wide single-read sequencing data (mainly ChIP-seq). Both individual genomic loci and populations of loci can be visualized e.g. as plots of average signals, scatter diagrams, or clustered heatmaps. The underlying loci can then be inspected just by selecting them in the plots - or they can be 'gated out' for further analysis. EaSeq also integrates more than 20 tools for analysis, including peak-finding, quantitation, normalization, clustering, distance analysis, randomization, scoring, and normalization. Finally, it automatically generates legends and descriptions of the handling and can store plots together with underlying data and these descriptions as a single compact session file.
Software version:
Biological application domain(s) (Phylogenetics, Genomics, ...):
ChIP-Seq,
Principal bioinformatics method(s) (Assembly, Mapping, ...):
Analysis, Biological interpretation, Clustering, Correlation, Enrichment, Filtering, Format conversion, Genome visualisation, Genomic region matching, Global test, Integrated solution, Peak calling, Visualisation Quality assessement, Read summarisation, Regression analysis, Viewer, Visualisation, and more...
Technology (Sanger, Illumina, 454, SOLiD, Ion Torrent, ...):
Any HTS
Interface (Command line, Web UI, Desktop GUI, SOAP WS, HTTP WS, API, QL):
Desktop GUI,
Resource type (Command-line tool, Web application, Desktop application, Script, Suite, Workbench, Database portal, Workflow, Plug-in, Library, Web API, Web service, SPARQL endpoint):
Tool, Platform,
University of Copenhagen
== Description == <!-- Describe the application in the space below --> <!-- -->
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