EaSeq
Application data |
|
Created by | Lerdrup M, Johansen JV, Agrawal-Singh S, Hansen KH |
---|---|
Biological application domain(s) | ChIP-Seq |
Principal bioinformatics method(s) | 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 | Any HTS |
Created at | University of Copenhagen |
Maintained? | Yes |
Input format(s) | Bed, Bam, BedGraph, Wig, Aln, CSV, Compressed/uncompressed, Customizable, Delimited Text |
Output format(s) | Tif, Bed, BedGraph, Wig, Aln, Compressed/uncompressed, Delimited Text, .eas (Custom Session file format) |
Software version | 1.02 |
Software features | Interactive, User-friendly, GUI, WYSIWYG, ChIPseq analysis, Data Visualisation, Data analysis, Genome Viewer, Integrated solution, Memory efficient, Multicore, Integrated tutorials, Automatic documentation, Integrated chat forum |
Interface type(s) | Desktop GUI |
Resource type(s) | Tool"Tool" is not in the list (Command-line tool, Web application, Desktop application, Script, Suite, Workbench, Database portal, Workflow, Plug-in, Library, ...) of allowed values for the "Resource type" property., Platform"Platform" is not in the list (Command-line tool, Web application, Desktop application, Script, Suite, Workbench, Database portal, Workflow, Plug-in, Library, ...) of allowed values for the "Resource type" property. |
Software libraries | NET framework 4 (Windows) |
Licence | Freeware, Custom Licence |
Operating system(s) | Windows 7 or Higher |
Contact: | mads.lerdrup@bric.ku.dk |
Summary: 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. 200px|right
"Error: no local variable "counter" was set." is not a number.
Description
Links
- EaSeq Homepage [ edit link ]
- EaSeq Publication full text [ edit link ]
- EaSeq Mailing list [ edit link ]
References
To add a reference for EaSeq, enter the PubMed ID in the field below and click 'Add'.
Search for "EaSeq" in the SEQanswers forum / BioStar or:
Web Search | Wiki Sites | Scientific |
---|---|---|