Difference between revisions of "DiChIPHorde (analysis)"
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| + | :DiChIPHorde | ||
| + | ;Provider | ||
| + | :[[Institute of Systems Biology]] | ||
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| + | ==== Description ==== | ||
The DiChIPHorde extension can be used to discover multiple significant di-nucleotide motifs in a given dataset using two independent filtering strategies. | The DiChIPHorde extension can be used to discover multiple significant di-nucleotide motifs in a given dataset using two independent filtering strategies. | ||
Revision as of 15:41, 18 April 2013
- Analysis title
- DiChIPHorde
- Provider
- Institute of Systems Biology
Description
The DiChIPHorde extension can be used to discover multiple significant di-nucleotide motifs in a given dataset using two independent filtering strategies.
Parameters:
- Input sequences – Collection containing input reads.
- Start length – Start length of the matrix
- Stop length – Stop length of the matrix (less or equal than start length)
- Motifs count limit – Maximum number of motifs to discover
- Filtering mode – Whether to mask polyN ("Mask") or to drop entire sequence ("Filter")
- 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 prefix – Prefix for the matrix name. It will be followed by number.
More about DiChIPMunk at: http://autosome.ru/dichipmunk/
