| aliscore | R Documentation |
Provides a interface to Aliscore, in order to remove problematic regions of a DNA sequence alignment.
aliscore(x, gaps = "5state", w = 6, r, t, l, s, o, exec)
x |
DNA sequences of class |
gaps |
A vector of mode |
w |
An integer giving the size of the sliding window. |
r |
An integer giving the number of random pairwise sequence
comparisons; defaults to |
t |
Not yet implemented. |
l |
Not yet implemented. |
s |
Not yet implemented. |
o |
A vector of mode |
exec |
A character string, giving the path to the Aliscore script. |
A matrix of class "DNAbin".
This function was developed with ALISCORE version 2. ALISCORE is no longer available and seems to be discontinued by the authors.
Misof, B. and K. Misof. 2009. A Monte Carlo approach successfully identifies randomness in multiple sequence alignments: a more objective means of data exclusion. Syst. Biol. 58: 21–34.
Kueck, P., K. Meusemann, J. Dambach, B. Thormann, B.M. von Reumont, J.W. Waegele and B. Misof. 2010. Parametric and non-parametric masking of randomness in sequence alignments can be improved and leads to better resolved trees. Frontiers in Zoology 7: 10.
mafft and prank for multiple sequence
alignment; gblocks for another alignment masking algorithm.
data(ips.28S)
## Not run: aliscore(ips.28S)
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