# LAPD

1,551 downloads

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.

Last updated on

**August 10th, 2006**## 0 User reviews so far.

SUBMIT