[Bioperl-l] Bio::Tools::Phylo::PAML with (baseml from PAML package)
jason at bioperl.org
Sat Jun 24 21:38:06 EDT 2006
they make no assumption about coding sequence,where do you get that
impression. the ka,ks are for coding but the tamura/nei kimura,
jukes-cantor are all for any type of sequence.
the phylip and emboss are pretty straightforward IMHO - you give it
an alignment and you get out a matrix of pairwise numbers....
but whatever makes sense to you - we are using the same methods as
are in Li's book (that is where I took the equations from).
On Jun 24, 2006, at 2:57 PM, Ryan Golhar wrote:
> Hi Jason,
> It looks like DNAStatistics is only for coding sequences. I'm
> trying to
> calculate the Ks of exons and the K (or Ki) of introns. All the
> in bioperl are based on coding sequences. Only the PAUP package
> I've found) does non-coding sequences. I would have used it but you
> need to pay for it and we don't have the funding to purchase much
> at the
> I brielfy looked at PHYLIP and EMBOSS but it didn't look as
> straight-forward as I was hoping it would be. Either that, or I was
> getting fustrated looking for a simple solution.
> In the end, I found a molecular evolution book that talks about
> methods used for non-coding sequences so I went ahead and implemented
> them. They seem to work well.
> -----Original Message-----
> From: Jason Stajich [mailto:jason.stajich at gmail.com] On Behalf Of
> Sent: Saturday, June 24, 2006 2:43 PM
> To: golharam at umdnj.edu
> Cc: bioperl-l at lists.open-bio.org; 'Alisha Holloway'
> Subject: Re: [Bioperl-l] Bio::Tools::Phylo::PAML with (baseml from
> You should look at the Align::DNAStatistics module if you just want
> pairwise DNA distance. I put in several different distance methods.
> Or you can use the distance methods implemented in PHYLIP or EMBOSS
> programs -- I thought you wanted the somewhat more sophisticated ML
> approaches that are implemented in PAML?
> On Jun 24, 2006, at 10:43 AM, Ryan Golhar wrote:
>> I've managed to code three methods to calculate K into a perl script
>> using the algorithms as described in "Molecular Evolution" by Wen-
>> Li. I'd be happy to contribute it as a script...
>> -----Original Message-----
>> From: Jason Stajich [mailto:jason.stajich at gmail.com] On Behalf Of
>> Sent: Saturday, June 24, 2006 9:40 AM
>> To: golharam at umdnj.edu
>> Cc: bioperl-l at lists.open-bio.org list; Alisha Holloway
>> Subject: Re: [Bioperl-l] Bio::Tools::Phylo::PAML with (baseml from
>> baseml is not well-supported to my knowledge - I think I started with
>> attempt to capture a small amount of the data in the file. There are
>> some people who have made modifications to possible parse it in-house
>> but I know of no submitted patches. Many of the knowledgeable
>> people are probably at the evolution meetings this week.
>> I have no idea about the full set of information in the report files
>> without going back to the Yang papers first. It depends on how much
>> of that information you really want to capture of just the
>> substitution rates.
>> I'm Ccing Alisha in case she has ideas/solutions from her drosophila
>> On Jun 22, 2006, at 5:05 PM, Ryan Golhar wrote:
>>> Hi all,
>>> I'm trying to use Bio::Tools::Phylo::PAML to parse the results from
>>> baseml in the PAML package to measure the distances of some non-
>>> I started with the coding regions, and used the script
>>> bp_pairwise_kaks.pl without much trouble. Now, I'm trying to do
>>> something similar for non-coding regions. However, when I call
>>> Bio::Tools::Phylo::PAML::Result->get_MLmatrix(), I'm getting 'undef'
>>> meaning matrix was never defined.
>>> I wanted to find out if anyone on here has done this before or
>>> knows a
>>> way to measure substitution frequencies of non-coding regions with
>>> PAML package. The documentation with PAML is sparse so I'm not
>>> sure how
>>> to interpret its output directly - that's why I'm using Bioperl.
>>> Hopefully someone can help me before I start digging into the
>>> Bioperl-l mailing list
>>> Bioperl-l at lists.open-bio.org
>> Jason Stajich
>> Duke University
> Jason Stajich
> Duke University
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