Difference between revisions of "ChIPHorde (analysis)"
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+ | :[[Institute of Systems Biology]] | ||
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+ | ==== Description ==== | ||
The ChIPHorde extension can be used to discover multiple significant motifs in a given dataset using two independent filtering strategies. | The ChIPHorde extension can be used to discover multiple significant motifs in a given dataset using two independent filtering strategies. | ||
Revision as of 15:41, 18 April 2013
- Analysis title
- ChIPHorde
- Provider
- Institute of Systems Biology
Description
The ChIPHorde extension can be used to discover multiple significant 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
- GC percent (expert) – Fraction of GC nucleotides (0..1)
- 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 ChipHorde at: http://autosome.ru/smbsm/librettos/libretto_chipmunk/chipmunk_v3_manual.txt