Jump to content

Bioinformatics help


priyankap079

Recommended Posts

hello i am beginner in Bioinformatics ,as i have gone through post of all members posted about branch length.

as i am working on gene name msp ,i m not getting how to interpret the result

i have used Bayes software , and calculated branchlength with bayesian posterior distrubution.

 

plz fined attached files

 

Hope somebody help me out in this matter , all gens are of same organism . i need to fine variation in terms of branch length

post-78545-0-52952400-1346844759_thumb.png

post-78545-0-26403700-1346844771_thumb.png

Link to comment
Share on other sites

A) "Bayes" is not a program. Bayesian phylogenetic inference is a method of inferring phylogeny implementing Bayesian probabilistic theory. I looks like you used MrBayes. If so it looks like your tree is poorly resolved - which either means you data has low signal - which gene did you use from what organism? How do you know they are orthologous?

Or your analysis has not converged - what parameters did you run the program with (i.e. no. chains, MCMC generations, sampling rate, substitution model, partitioning scheme, burnin, etc) and how did you assess stationarity?

 

B) The top tree has branch lengths, the bottom tree has posterior probability support values.

 

C) Branch length variation between what? Being variation of a measurement, you need at least two meaningful measurements to compare. You don't have two monophyletic clades, so we need to know what you are comparing to make any sort of sensible suggestion.

Edited by Arete
Link to comment
Share on other sites

Create an account or sign in to comment

You need to be a member in order to leave a comment

Create an account

Sign up for a new account in our community. It's easy!

Register a new account

Sign in

Already have an account? Sign in here.

Sign In Now
×
×
  • Create New...

Important Information

We have placed cookies on your device to help make this website better. You can adjust your cookie settings, otherwise we'll assume you're okay to continue.