LAPD

GPL (GNU General Public License)    
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LAPD program estimates pairwise distances for a set of protein sequences.

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LAPD program estimates pairwise distances for a set of protein sequences. The output can be used in conjunction with other phylogeny programs, such as Phylip.

A special feature is that the specialized rate matrices, estimated by modelestimator, can be used as input to the program.

The method is described in a forthcoming paper.

Usage:
Usage: lapd [< options >] < infile >

The infile should be in either FASTA, STOCKHOLM, or PHYLIP format. Output is a matrix of expected distances and, if possible, estimates of standard deviation.

Options:
-indels Remove gap columns. A gap is denoted by '-'.

-ml Compute a Maximum Likelihood estimate instead. This option implies -sd.

-sd Do not output a matrix with standard deviations after the distance matrix.

-id Output percent identity.

-jc Use a simplistic Jukes-Cantor model.
-jck Use -jc, but use Kimura's correction.
-jcss Like -jck, but using Storm-Sonhammer's correction.

-wag Default. Use the WAG matrix (see Wheelan and Goldman, 2001).
-jtt Use the JTT matrix (see Jones, Taylor, Thornton, 1992).
-day Use the Dayhoff matrix (Dayhoff et al, 1978).
-arve Use the Arvestad matrix.
-mv Use the Muller-Vingron matrix (2000).

-f < file > Read matrix and equilibrium distribution from file.

-pfam Use a normal distribution as distance prior, estimated from Pfam 7.2.

-s "Speed". High speed results in low precision. Default is 5. Valid range is [1, 10].

-v Verbose. Show progress info on STDERR.
-octave < path > Point to the Octave binary to run. 'octave -q' by default.
-d Debug option. Output Octave commands to STDOUT.

-u, -h This help text.
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Last updated on August 10th, 2006

#pairwise distances #estimates distances #protein sequences #LAPD #pairwise #distances #protein

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