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tigr-build-icm(1) [debian man page]

TIGR-GLIMMER	 (1)   (1)				      General Commands Manual					TIGR-GLIMMER	 (1)   (1)

NAME
tigr-glimmer -- Ceates and outputs an interpolated Markov model(IMM) SYNOPSIS
tigr-build-icm DESCRIPTION
Program build-icm.c creates and outputs an interpolated Markov model (IMM) as described in the paper A.L. Delcher, D. Harmon, S. Kasif, O. White, and S.L. Salzberg. Improved Microbial Gene Identification with Glimmer. Nucleic Acids Research, 1999, in press. Please refer- ence this paper if you use the system as part of any published research. Input comes from the file named on the command-line. Format should be one string per line. Each line has an ID string followed by white space followed by the sequence itself. The script run-glimmer3 generates an input file in the correct format using the 'extract' program. The IMM is constructed as follows: For a given context, say acgtta, we want to estimate the probability distribution of the next character. We shall do this as a linear combination of the observed probability distributions for this context and all of its suffixes, i.e., cgtta, gtta, tta, ta, a and empty. By observed distributions I mean the counts of the number of occurrences of these strings in the training set. The linear combination is determined by a set of probabilities, lambda, one for each context string. For context acgtta the linear combi- nation coefficients are: lambda (acgtta) (1 - lambda (acgtta)) x lambda (cgtta) (1 - lambda (acgtta)) x (1 - lambda (cgtta)) x lambda (gtta) (1 - lambda (acgtta)) x (1 - lambda (cgtta)) x (1 - lambda (gtta)) x lambda (tta) (1 - lambda (acgtta)) x (1 - lambda (cgtta)) x (1 - lambda (gtta)) x (1 - lambda (tta)) x (1 - lambda (ta)) x (1 - lambda (a)) We compute the lambda values for each context as follows: - If the number of observations in the training set is >= the constant SAM- PLE_SIZE_BOUND, the lambda for that context is 1.0 - Otherwise, do a chi-square test on the observations for this context compared to the distribution predicted for the one-character shorter suffix context. If the chi-square significance < 0.5, set the lambda for this context to 0.0 Otherwise set the lambda for this context to: (chi-square significance) x (# observations) / SAMPLE_WEIGHT To run the program: build-icm <train.seq > train.model This will use the training data in train.seq to produce the file train.model, containing your IMM. SEE ALSO
tigr-glimmer3 (1), tigr-long-orfs (1), tigr-adjust (1), tigr-anomaly (1), tigr-extract (1), tigr-check (1), tigr-codon-usage (1), tigr- compare-lists (1), tigr-extract (1), tigr-generate (1), tigr-get-len (1), tigr-get-putative (1), http://www.tigr.org/software/glimmer/ Please see the readme in /usr/share/doc/tigr-glimmer for a description on how to use Glimmer3. AUTHOR
This manual page was quickly copied from the glimmer web site and readme file by Steffen Moeller moeller@debian.org for the Debian system. TIGR-GLIMMER (1) (1)

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LEGENDRE(3)						User Contributed Perl Documentation					       LEGENDRE(3)

NAME
PDL::GSLSF::LEGENDRE - PDL interface to GSL Special Functions DESCRIPTION
This is an interface to the Special Function package present in the GNU Scientific Library. SYNOPSIS
Functions FUNCTIONS
gsl_sf_legendre_Pl Signature: (double x(); double [o]y(); double [o]e(); int l) P_l(x) gsl_sf_legendre_Pl_array Signature: (double x(); double [o]y(num); int l=>num) P_l(x) from 0 to n-1. gsl_sf_legendre_Ql Signature: (double x(); double [o]y(); double [o]e(); int l) Q_l(x) gsl_sf_legendre_Plm Signature: (double x(); double [o]y(); double [o]e(); int l; int m) P_lm(x) gsl_sf_legendre_Plm_array Signature: (double x(); double [o]y(num); int l=>num; int m) P_lm(x) for l from 0 to n-2+m. gsl_sf_legendre_sphPlm Signature: (double x(); double [o]y(); double [o]e(); int l; int m) P_lm(x), normalized properly for use in spherical harmonics gsl_sf_legendre_sphPlm_array Signature: (double x(); double [o]y(num); int n=>num; int m) P_lm(x), normalized properly for use in spherical harmonics for l from 0 to n-2+m. gsl_sf_conicalP_half Signature: (double x(); double [o]y(); double [o]e(); double lambda) Irregular Spherical Conical Function P^{1/2}_{-1/2 + I lambda}(x) gsl_sf_conicalP_mhalf Signature: (double x(); double [o]y(); double [o]e(); double lambda) Regular Spherical Conical Function P^{-1/2}_{-1/2 + I lambda}(x) gsl_sf_conicalP_0 Signature: (double x(); double [o]y(); double [o]e(); double lambda) Conical Function P^{0}_{-1/2 + I lambda}(x) gsl_sf_conicalP_1 Signature: (double x(); double [o]y(); double [o]e(); double lambda) Conical Function P^{1}_{-1/2 + I lambda}(x) gsl_sf_conicalP_sph_reg Signature: (double x(); double [o]y(); double [o]e(); int l; double lambda) Regular Spherical Conical Function P^{-1/2-l}_{-1/2 + I lambda}(x) gsl_sf_conicalP_cyl_reg_e Signature: (double x(); double [o]y(); double [o]e(); int m; double lambda) Regular Cylindrical Conical Function P^{-m}_{-1/2 + I lambda}(x) gsl_sf_legendre_H3d Signature: (double [o]y(); double [o]e(); int l; double lambda; double eta) lth radial eigenfunction of the Laplacian on the 3-dimensional hyperbolic space. gsl_sf_legendre_H3d_array Signature: (double [o]y(num); int l=>num; double lambda; double eta) Array of H3d(ell), for l from 0 to n-1. AUTHOR
This file copyright (C) 1999 Christian Pellegrin <chri@infis.univ.trieste.it> All rights reserved. There is no warranty. You are allowed to redistribute this software / documentation under certain conditions. For details, see the file COPYING in the PDL distribution. If this file is separated from the PDL distribution, the copyright notice should be included in the file. The GSL SF modules were written by G. Jungman. perl v5.8.0 2003-01-29 LEGENDRE(3)
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