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The Lounge What is on Your Mind? What exactly is the concept of BITS in this unix.com forum? Post 302700451 by Corona688 on Thursday 13th of September 2012 11:46:08 AM
Old 09-13-2012
It's a rough metric of the behavior and posting content of a user, and the content of the forum as a whole. Users which post threads and posts get paid 'bits' for them. Users which must be moderated all the time will quickly end up with negative bits. And so forth.

These bits can be spent in various ways. Most usefully, you can pay bits to create a thread in the emergency forum. You can also pay bits to set a custom user title. And so forth.
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hmmstat(1)							   HMMER Manual 							hmmstat(1)

NAME
hmmstat - display summary statistics for a profile file SYNOPSIS
hmmstat [options] <hmmfile> DESCRIPTION
The hmmstat utility prints out a tabular file of summary statistics for each profile in <hmmfile>. The columns are: idx The index of this profile, numbering each on in the file starting from 1. name The name of the profile. accession The optional accession of the profile, or "-" if there is none. nseq The number of sequences that the profile was estimated from. eff_nseq The effective number of sequences that the profile was estimated from, after HMMER applied an effective sequence number calculation such as the default entropy weighting. M The length of the model in consensus residues (match states). relent Mean relative entropy per match state, in bits. This is the expected (mean) score per consensus position. This is what the default entropy-weighting method for effective sequence number estimation focuses on, so for default HMMER3 models, you expect this value to reflect the default target for entropy-weighting. info Mean information content per match state, in bits. Probably not useful. Information content is a slightly different calculation than relative entropy. p relE Mean positional relative entropy, in bits. This is a fancier version of the per-match-state relative entropy, taking into account the transition (insertion/deletion) probabilities; it may be a more accurate estimation of the average score contributed per model consensus position. compKL Kullback-Leibler distance between the model's overall average residue composition and the default background frequency distribution. The higher this number, the more biased the residue composition of the profile is. Highly biased profiles can slow the HMMER3 accel- eration pipeline, by causing too many nonhomologous sequences to pass the filters. OPTIONS
-h Help; print a brief reminder of command line usage and all available options. SEE ALSO
See hmmer(1) for a master man page with a list of all the individual man pages for programs in the HMMER package. For complete documentation, see the user guide that came with your HMMER distribution (Userguide.pdf); or see the HMMER web page (@HMMER_URL@). COPYRIGHT
@HMMER_COPYRIGHT@ p@HMMER_LICENSE@ For additional information on copyright and licensing, see the file called COPYRIGHT in your HMMER source distribution, or see the HMMER web page (@HMMER_URL@). AUTHOR
Eddy/Rivas Laboratory Janelia Farm Research Campus 19700 Helix Drive Ashburn VA 20147 USA http://eddylab.org HMMER
@HMMER_VERSION@ @HMMER_DATE@ hmmstat(1)
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