Difference between revisions of "DiChIPMunk (analysis)"
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* '''Input sequences''' – Collection containing input reads. | * '''Input sequences''' – Collection containing input reads. | ||
* '''Start length''' – Start length of the matrix | * '''Start length''' – Start length of the matrix | ||
| − | * '''Stop length''' – Stop length of the matrix | + | * '''Stop length''' – Stop length of the matrix |
* '''Number of threads''' (expert) – Number of concurrent threads when processing | * '''Number of threads''' (expert) – Number of concurrent threads when processing | ||
* '''Step limit''' (expert) – Step limit | * '''Step limit''' (expert) – Step limit | ||
Revision as of 15:18, 29 April 2013
- Analysis title
DiChIPMunk
- Provider
- Autosome.Ru
Description
This analysis allows you to create di-nucleotide motifs from Chip-Seq data.
It identifies the motif with the maximum Discrete Information Content in a set of DNA sequences.
Parameters:
- Input sequences – Collection containing input reads.
- Start length – Start length of the matrix
- Stop length – Stop length of the matrix
- Number of threads (expert) – Number of concurrent threads when processing
- Step limit (expert) – Step limit
- Try limit (expert) – Try limit
- Local background (expert) – If checked, local background estimation is used. Otherwise uniform background estimation is used
- ZOOPS factor (expert) – Zero-or-one-occurence-per-sequence factor
- Motif shape (expert) – Motif shape
- Use peak profiles (expert) – Whether to use peak profiles (if available)
- Output matrix library – Path to the matrix library to put matrix into (will be created if not specified)
- Matrix name – Name of created matrix
More about DiChIPMunk at: http://autosome.ru/dichipmunk/
