here is an example of what my nexus tree files likes. it is the result of a bayesian analysis. I have got about 1700 trees and I am trying to figure out how resolve into a newick format in order to use ete2. Any other suggestion?
#NEXUS
begin taxa;
dimensions ntax=5;
taxlabels
ENSTRUG00000000417
T18D3.7
ENSGACG00000013730
ENSLACG00000012925
ENSLACG00000003805
;
end;
begin trees;
translate
1 ENSTRUG00000000417,
2 T18D3.7,
3 ENSGACG00000013730,
4 ENSLACG00000012925,
5 ENSLACG00000003805
;
tree con_all_compat = [&U] (ENSTRUG00000000417[&prob=1.000000000000000e+00,prob_stddev=0.000000000000000e+00,prob_range={1.000000000000000e+00,1.000000000000000e+00},prob(percent)="100",prob+-sd="100+-0"]:1.418146859482858e-01[&length_mean=1.453808394263178e-01,length_median=1.418146859482858e-01,length_95%HPD={4.394102925423538e-02,2.398851568109936e-01}],ENSGACG00000013730[&prob=1.000000000000000e+00,prob_stddev=0.000000000000000e+00,prob_range={1.000000000000000e+00,1.000000000000000e+00},prob(percent)="100",prob+-sd="100+-0"]:7.103231066152176e-01[&length_mean=7.193836401649210e-01,length_median=7.103231066152176e-01,length_95%HPD={5.013425489412863e-01,9.651804467297473e-01}],((T18D3.7[&prob=1.000000000000000e+00,prob_stddev=0.000000000000000e+00,prob_range={1.000000000000000e+00,1.000000000000000e+00},prob(percent)="100",prob+-sd="100+-0"]:9.105574486435167e-01[&length_mean=9.257404980325880e-01,length_median=9.105574486435167e-01,length_95%HPD={5.933291691904896e-01,1.277730934852635e+00}],ENSLACG00000012925[&prob=1.000000000000000e+00,prob_stddev=0.000000000000000e+00,prob_range={1.000000000000000e+00,1.000000000000000e+00},prob(percent)="100",prob+-sd="100+-0"]:5.505290596097889e-01[&length_mean=5.614284096694910e-01,length_median=5.505290596097889e-01,length_95%HPD={3.098368159543265e-01,8.231827588050069e-01}])[&prob=9.504132231404958e-01,prob_stddev=2.262138462873564e-03,prob_range={9.488136496934151e-01,9.520127965875766e-01},prob(percent)="95",prob+-sd="95+-0"]:2.232700123422474e-01[&length_mean=2.306815188221150e-01,length_median=2.232700123422474e-01,length_95%HPD={3.964294057691813e-02,4.360923788012644e-01}],ENSLACG00000003805[&prob=1.000000000000000e+00,prob_stddev=0.000000000000000e+00,prob_range={1.000000000000000e+00,1.000000000000000e+00},prob(percent)="100",prob+-sd="100+-0"]:8.688248742304949e-02[&length_mean=9.037320533212091e-02,length_median=8.688248742304949e-02,length_95%HPD={6.775268382584457e-03,1.727273852136540e-01}])[&prob=4.964009597440682e-01,prob_stddev=5.655346157183772e-03,prob_range={4.924020261263663e-01,5.003998933617702e-01},prob(percent)="50",prob+-sd="50+-1"]:6.385319910354678e-02[&length_mean=7.043041817985121e-02,length_median=6.385319910354678e-02,length_95%HPD={1.049211220468756e-05,1.546138043511682e-01}])[&prob=1.000000000000000e+00,prob_stddev=0.000000000000000e+00,prob_range={1.000000000000000e+00,1.000000000000000e+00},prob(percent)="100",prob+-sd="100+-0"][&length_mean=0.000000000000000e+00,length_median=0.000000000000000e+00,length_95%HPD={0.000000000000000e+00,0.000000000000000e+00}];
end;