Difference between revisions of "SeqMonk"
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|bio domain=Genomics, Epigenomics | |bio domain=Genomics, Epigenomics | ||
|bio method=Visualisation, Sequence assembly visualisation, Statistical calculation, Sequence alignment visualisation | |bio method=Visualisation, Sequence assembly visualisation, Statistical calculation, Sequence alignment visualisation | ||
+ | |interface=Desktop GUI, | ||
+ | |resource type=Desktop application, | ||
|created by=Simon Andrews | |created by=Simon Andrews | ||
|created at=The Babraham Institute | |created at=The Babraham Institute |
Latest revision as of 13:43, 4 November 2016
Application data |
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Created by | Simon Andrews |
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Biological application domain(s) | Genomics, Epigenomics |
Principal bioinformatics method(s) | Visualisation, Sequence assembly visualisation, Statistical calculation, Sequence alignment visualisation |
Created at | The Babraham Institute |
Maintained? | Yes |
Input format(s) | Eland, GFF, BED, Maq, Bowtie, SAM, BAM, Delimited Text, Bismark |
Output format(s) | PNG, SVG, Delimited Text |
Software features | Genome Viewer, Data Visualisation, Data Quantitation filtering and analysis |
Programming language(s) | Java |
Interface type(s) | Desktop GUI |
Resource type(s) | Desktop application |
Licence | GPLv3 |
Operating system(s) | Windows, Mac OS X, Linux |
Summary: A tool to visualise and analyse high throughput mapped sequence data
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SeqMonk is designed to be an easy to use application for the analysis of large scale mapped sequence datasets. It allows you to visualise your mapped datasets against an annotated genome with very flexible visualisation options.
In addition you can also quantitate your data in a number of different ways, and then filter these results to pull out regions of interest. Finally you can annotate regions of interest and export reports and figures for further analysis.
SeqMonk can be used to analyse a wide range of data types, ChIP-seq, Genome Reseqencing, 3/4C, MeDIP, Bisulphite Seq etc.
Links
References
To add a reference for SeqMonk, enter the PubMed ID in the field below and click 'Add'.
Search for "SeqMonk" in the SEQanswers forum / BioStar or:
Web Search | Wiki Sites | Scientific |
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