[Sorry to open a new thread, but as there were a few previous SeqMonk threads I thought I'd open a new one and put everything in here from now on]
SeqMonk is a desktop application which is able to view and analyse large mapped data sets. It is a cross platform program which runs on normal PC hardware, and is designed with the needs of the bench scientist in mind.
It requires no computing infrastructure (back end databases etc), and virtually no configuration before you can start analysing your data.
I've just put out the latest release of the program (v0.13.0), which includes some significant additions to the program:
I've also created a series of tutorial videos on our youtube channel which show how to get started with SeqMonk, and also go through some example analyses of ChIP-Seq or RNA-Seq data. More of these will be coming in the next few weeks.
You can get more information on SeqMonk from:
http://www.bioinformatics.bbsrc.ac.uk/projects/seqmonk/
I'll post future updates in this thread, but you can also be notified about any of our software packages by following our twitter stream.
SeqMonk is a desktop application which is able to view and analyse large mapped data sets. It is a cross platform program which runs on normal PC hardware, and is designed with the needs of the bench scientist in mind.
It requires no computing infrastructure (back end databases etc), and virtually no configuration before you can start analysing your data.
I've just put out the latest release of the program (v0.13.0), which includes some significant additions to the program:
- You can now import data from BAM files, and SAM import is much quicker than before
- You can export quantitated data as BEDGraph files
- A line graph tool to visualise quantitation changes between samples
- A set of clustering tools to automatically or manually find sets of probes with correlated quantitation profiles
- A new per-probe normalisation method
I've also created a series of tutorial videos on our youtube channel which show how to get started with SeqMonk, and also go through some example analyses of ChIP-Seq or RNA-Seq data. More of these will be coming in the next few weeks.
You can get more information on SeqMonk from:
http://www.bioinformatics.bbsrc.ac.uk/projects/seqmonk/
I'll post future updates in this thread, but you can also be notified about any of our software packages by following our twitter stream.
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