--- EXPERIMENT NOTES




 --- EXPERIMENT PROPERTIES

#Fri Jun 15 18:32:45 WEST 2018
codeml.models=0 1 2 3 7 8
mrbayes.mpich=
mrbayes.ngen=1000000
tcoffee.alignMethod=MUSCLE
tcoffee.params=
tcoffee.maxSeqs=0
codeml.bin=codeml
mrbayes.tburnin=2500
codeml.dir=
input.sequences=
mrbayes.pburnin=2500
mrbayes.bin=mb_adops
tcoffee.bin=t_coffee_ADOPS
mrbayes.dir=/usr/bin/
tcoffee.dir=
tcoffee.minScore=3
input.fasta=/opt/ADOPS1/DNG_A2/prM_3/input.fasta
input.names=
mrbayes.params=
codeml.params=



 --- PSRF SUMMARY

      Estimated marginal likelihoods for runs sampled in files
"/opt/ADOPS1/DNG_A2/prM_3/batch/allfiles/mrbayes/input.fasta.fasta.mrb.run1.p" and "/opt/ADOPS1/DNG_A2/prM_3/batch/allfiles/mrbayes/input.fasta.fasta.mrb.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)

(Values are saved to the file /opt/ADOPS1/DNG_A2/prM_3/batch/allfiles/mrbayes/input.fasta.fasta.mrb.lstat)

Run   Arithmetic mean   Harmonic mean
--------------------------------------
1      -4165.53         -4211.56
2      -4166.14         -4215.63
--------------------------------------
TOTAL    -4165.79         -4214.95
--------------------------------------


Model parameter summaries over the runs sampled in files
"/opt/ADOPS1/DNG_A2/prM_3/batch/allfiles/mrbayes/input.fasta.fasta.mrb.run1.p" and "/opt/ADOPS1/DNG_A2/prM_3/batch/allfiles/mrbayes/input.fasta.fasta.mrb.run2.p":
Summaries are based on a total of 3002 samples from 2 runs.
Each run produced 2001 samples of which 1501 samples were included.
Parameter summaries saved to file "/opt/ADOPS1/DNG_A2/prM_3/batch/allfiles/mrbayes/input.fasta.fasta.mrb.pstat".

95% HPD Interval
--------------------
Parameter         Mean      Variance     Lower       Upper       Median    min ESS*  avg ESS    PSRF+
------------------------------------------------------------------------------------------------------
TL{all}         5.742301    0.201819    4.869434    6.653942    5.721698    758.64    818.32    1.000
r(A<->C){all}   0.041529    0.000080    0.025394    0.059846    0.041021    547.20    601.50    1.000
r(A<->G){all}   0.238438    0.000694    0.185056    0.287795    0.237011    459.99    511.54    1.000
r(A<->T){all}   0.065939    0.000122    0.044152    0.087205    0.065695    801.06    839.76    1.000
r(C<->G){all}   0.026804    0.000053    0.013541    0.041362    0.026183    763.74    842.33    1.000
r(C<->T){all}   0.594531    0.000981    0.534584    0.657250    0.596150    436.45    492.96    1.000
r(G<->T){all}   0.032759    0.000077    0.015907    0.050031    0.031907    872.85    901.57    1.002
pi(A){all}      0.291144    0.000225    0.260822    0.319138    0.291006    676.18    683.20    1.001
pi(C){all}      0.247681    0.000185    0.222041    0.274805    0.247641    731.41    798.71    1.000
pi(G){all}      0.244790    0.000220    0.215425    0.272958    0.244327    719.12    719.31    1.001
pi(T){all}      0.216385    0.000159    0.190977    0.240499    0.215979    673.00    719.93    1.000
alpha{1,2}      0.214912    0.000381    0.176266    0.253273    0.213274   1154.03   1209.85    1.000
alpha{3}        4.045538    0.812981    2.479430    5.866412    3.946351   1280.86   1388.32    1.000
pinvar{all}     0.081278    0.001171    0.011896    0.143467    0.080782    909.67   1155.05    1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.


Setting sumt conformat to Simple



 --- CODEML SUMMARY

Model 1: NearlyNeutral	-3982.45163
Model 2: PositiveSelection	-3982.45163
Model 0: one-ratio	-4025.939801
Model 3: discrete	-3943.785617
Model 7: beta	-3943.987698
Model 8: beta&w>1	-3943.987969


Model 0 vs 1	86.97634199999993

Model 2 vs 1	0.0

Model 8 vs 7	5.419999997684499E-4
>C1
FHLTTRGGEPHMIVSKQERGKSLLFKTSAGVNMCTLIAMDLGELCEDTMT
YKCPRITETEPDDVDCWCNATDTWVTYGTCSQTGEHRRDKRSVALAPHVG
LGLETRTETWMSSEGAWKQIQRVETWALRHPGFTVTALFLAHAIGTSITQ
KGIIFILLMLVTPSMA
>C2
FHLTTRGGEPHMIVSKQERGKSLLFKTSAGVNMCTLIAMDLGELCEDTMT
YKCPRITETEPDDVDCWCNATETWVTYGTCSQTGEHRRDKRSVALAPHVG
LGLETRTETWMSSEGAWRQIQKVETWALRHPGFTVMALFLAHAIGTSITQ
KGIIFILLMLVTPSMA
>C3
FHLTSRDGEPRMIVAKNERGKSLLFKTASGINMCTLIAMDLGEMCDDTVT
YKCPLIAEVEPEDIDCWCNLTSTWVTYGTCNQAGEHRRDKRSVALAPHVG
MGLDTRTQTWMSAEGAWRQVEKVETWVLRHPGFTILALFLAHYIGTSLTQ
KVVVFTLLMLVTPSMT
>C4
FHLTTRNGEPHMIVGRQEKGKSLLFKTEDGVNMCTLMAIDLGELCEDTIT
YKCPLLRQNEPEDIDCWCNSTSTWVTYGTCTTTGEHRREKRSVALVPHVG
MGLETRTETWMSSEGAWKHVQRIETWILRHPGFTIMAAILAYTIGTTHFQ
RALILILLTAVAPSMT
>C5
FHLTTRGGEPHMIVSKQERGKSLLFKTSAGVNMCTLIAMDLGELCEDTLT
YKCPRITEVEPDDVDCWCNTTDTWVTYGTCSQTGEHRRDKRSVALAPHVG
LGLETRAETWMSSEGAWKQIQRVETWALRHPGFTVIALFLAHAIGTSITQ
KGIIFILLMLVTPSMA
>C6
FHLTTRGGEPHMIVSKQERGKSLLFKTSVGVNMCTLIAMDLGELCEDTMT
YKCPRITEAEPDDVDCWCNATDTWVTYGTCSQTGEHRRDKRSVALAPHVG
LGLETRTETWMSSEGAWKQIQKVETWALRHPGFTVIALFLAHAIGTSITQ
KGIIFILLMLVTPSMA
>C7
FHLTSRDGEPRMIVGKNERGKSLLFKTASGINMCTLIAMDLGEMCDDTVT
YKCPHITEVEPEDIDCWCNLTSTWVTYGTCNQAGEHRRDKRSVALAPHVG
MGLDTRTQTWMSAEGAWRQVEKVETWALRHPGFTILALFLAHYIGTSLTQ
KVVIFMLLMLVTPSMT
>C8
FHLTTRGGEPHMIVTKQERGKSLLFKTSAGVNMCTLIAMDLGELCEDTMT
YKCPRITEAEPDDVDCWCNATDTWVTYGTCSQTGEHRRDKRSVALAPHVG
LGLETRTETWMSSEGAWKQIQRVETWALRHPGFTVIALFLAHVIGTSITQ
KGIIFILLMLVTPSMA
>C9
FHLTTRNGEPHMIVGIQEKGKSLLFKTENGVNMCTLMAMDLGELCEDTIT
YKCPLLRQNEPEDIDCWCNSTSTWVTYGTCTTTGEHRREKRSVALVPHVG
MGLETRTETWMSSEGAWKHAQRIETWILRHPGFTIMAAILAYTIGTTHFQ
RALIFILLTAVAPSMA
>C10
FHLTSRDGEPRMIVGKNERGKSLLFKTASGINMCTLIAMDLGEMCDDTVT
YKCPFIAEVEPEDIDCWCNLTSTWVTYGTCNQAGEHRRDKRSVALAPHVG
MGLDTRTQTWMSAEGAWRQVEKVETWALRHPGFTILALFLAHYIGTSLTQ
KVVIFVLLMLVTPSMA
>C11
FHLTIRGGEPHMIVSKQERGKSLLFKTSAGVNMCTLIAMDLGEFCEDTMT
YKCPRITEAEPDDVDCWCNATDTWVTYGTCSQTGEHRRDKRSVALAPHVG
LGLETRTETWMSSEGAWKQIQRVETWALRHPGFTVIALFLAHAIGTSITQ
KGIIFILLMLVTPSMA
>C12
FHLTTRGGEPHMIVSKQERGKSLLFKTSAGVNMCTLIAMDLGELCEDTMT
YKCPRISEAEPDDVDCWCNATDTWVTYGTCSQTGEHRRDKRSVALAPHVG
LGLETRTETWMSSEGAWKQIQRVETWALRHPGFTVIALFLAHAIGTSITQ
KGIIFILLMLVTPSMA
>C13
FHLTTRNGEPHMIVSRQEKGKSLLFKTKDGTNMCTLMAMDLGELCEDTIT
YKCPFLKQNEPEDIDCWCNSTSTWVTYGTCTTTGEHRRGKRSVALVPHVG
MGLETRTETWMSSEGAWKHAQRIETWILRHPGFTIMAAILAYTIGTTHFQ
RVLIFILLTAIAPSMT
>C14
FHLTTRGGEPHMIVSKQERGKSLLFKTSAGVNMCTLIAMDLGELCEDTMT
YKCPRITEAEPDDVDCWCNATDTWVTYGTCSQTGEHRRDKRSVALAPHVG
LGLETRTETWMSSEGAWKQIQRVETWALRHPGFTVIALFLAHTIGTSITQ
KGIIFILLMLVTPSMA
>C15
FHLTSRDGEPRMIVAKNERGKSLLFKTASGINMCTLIAMDLGEMCDDTVT
YKCPLIAEVEPEDIDCWCNLTSTWVTYGTCNQAGEHRRDKRSVALAPHVG
MGLDTRTQTWMSAEGAWRQVEKVETWALRHPGFTILALFLAHYIGTSLTQ
KVVIFVLLMLVTPSMT
>C16
FHLTTRNGEPHMIVGRQEKGKSLLFKTEDGVNMCTLMAIDLGELCEDTIT
YKCPLLRQNEPEDIDCWCNSTSTWVTYGTCTTIGEHRREKRSVALVPHVG
MGLETRTETWMSSEGAWKHVQRIETWILRHPGFTIMAAILAYTIGTTHFQ
RALIFILLTAVAPSMT
>C17
FHLTTRNGEPHMIVSKHEKGKSLLFKTEDGMNMCTLMAMDLGELCEDTIT
YKCPFLKQNEPEDIDCWCNATSTWVTYGTCSTTGEHRREKRSVALVPHVG
MGLETRTETWMSSEGAWKQAQRIETWILRHPGFTLMAAILAYTIGTTHFQ
KILIFILLTAVAPSMT
>C18
FHLTTRGGEPHMIVSKQERGKSLLFKTSAGINMCTLIAMDLGELCEDTMT
YKCPRITEAEPDDVDCWCNATDTWVTYGTCSQTGEHRRDKRSVALAPHVG
LGLETRTETWMSSEGAWKQIQKVETWALRHPGFTVTALFLAHAIGTSITQ
KGIIFILLILVTPSMA
>C19
FHLTTRGGEPHMIVSKQERGKSLLFKTSAGVNMCTLIAMDLGEICEDTMT
YKCPRITEAEPNHVDCWCNATDTWVTYGTCSQTGEHRRDKRSVALALHEG
LGLETRTETWMSSEGAWKQIQRVETWALRHPGFTVIALFLAHAIGTSITQ
KGIIFILLMLVTPSMA
>C20
FHLTTRNGEPHMIVSIQEKGKSLLFKTEDGVNMCTLMAMDLGELCEDTIT
YKCPLLRQNEPEDIDCWCNSTSTWVTYGTCTTTGEHRREKRSVALVPHVG
MGLETRTETWMSSEGAWKHAQRIETWILRHPGFTIMAAILAYTIGTTHFQ
RALIFILLTAVAPSMT
>C21
FHLTTRNGEPHMIVSRQEKGKSLLFKTEDGVNMCTLMAMDLGELCEDTVT
YNCPLLRQNEPEDIDCWCNSTSTWVTYGTCTATGEHRREKRSVALVPHVG
MGLETRTETWMSSEGAWKHAQRIETWILRHPGFTIMAAILAHTIGTTYFQ
RVLIFILLTAVAPSMT
>C22
FHLTTRGGEPHMIVSKQERGKSLLFKTSTGVNMCTLIAMDLGELCEDTMT
YKCPRITEAEPDDVDCWCNATDTWVTYGTCSQTGEHRRDKRSVALAPHVG
LGLETRTETWMSSEGAWKQIQKVETWALRHPGFTVIAFFLAHAIGTSITQ
KGIIFILLMLVTPSMA
>C23
FHLTTRGGEPHMIVSKHERGKALLFKTSTGVNMCTLIAMDLGELCEDTMT
YKCPRITEAEPDDVDCWCNATDTWVTYGTCSQTGEHRRDKRSVALAPHVG
LGLETRTETWMSSEGAWKQIQRVETWALRHPGFTVIALFLAHAIGTSITQ
KGIIFILLMLVTPSMA
>C24
FHLTTRGGEPHMIVTKQERGKSLLFKTSAGVNMCTLIAMDLGELCEDTMT
YKCPRITEAEPDDVDCWCNATDTWVTYGTCSQTGEHRRDKRSVALAPHVG
LGLETRTETWMSSEGAWKQIQRVETWALRHPGFTVIALFLAHAIGTSITQ
KGIVFILLMLVTPSMA
>C25
FHLTTRGGEPHMIVSKQERGKSLLFKTSAGVNMCTLVAMDLGELCEDTMT
YKCPRITEAEPDDVDCWCNATDTWVTYGTCSQTGEHRRDKRSVALAPHVG
LGLETRTETWMSSEGAWKQIQRVETWALRHPGFTVIALFLAHAIGTSITQ
KGIIFILLMLVTPSMA
>C26
FHLTTRGGEPHMIVTKQERGKSLLFKTSAGVNMCTLIAMDLGELCEDTMT
YKCPRITEAEPDDVDCWCNATDTWVTYGTCSRTGEHRRDKRSVALAPHVG
LGLETRTETWMSSEGAWKQIQRVETWALRHPGFTVIALFLAHAIGTSITQ
KGIIFILLMLVTPSMA
>C27
FHLTTRGGEPHMIVSKQERGKSLLFKTSAGVNMCTLIAMDLGELCEDTMT
YKCPRITEAEPDDVDCWCNATDAWVTYGTCSQTGEHRRDKRSVALAPHVG
LGLETRTETWMSSEGAWKQIQRVETWALRHPGFTVIALFLAHAIGTSITQ
KGIIFILLMLVTPSMA
>C28
FHLTTRNGEPHMIVSRQEKGKSLLFKTEDGVNMCTLMAMDLGELCEDTVT
YNCPLLRQNEPEDIDCWCNSTSTWVTYGTCTATGEHRREKRSVALVPHVG
MGLETRTETWMSSEGAWKHAQRIETWILRHPGFTIMAAILAYTIGTTYFQ
RVLIFILLTAVAPSMT
>C29
FHLTTRGGEPHMIVSKQERGKSLLFKTSAGVNMCTLIAMDLGELCEDTMT
YKCPRITEAEPDDVDCWCNATDTWVTYGTCSQTGEHRRDKRSVALAPHVG
LGLETRTETWMSSEGAWKQIQRVETWALRHPGFTMIALFLAHAIGTSITQ
KGIIFILLMLVTPSMA
>C30
FHLTSRDGEPHMIVGKNERGKSLLFKTASGINMCTLIAMDLGEMCDDTVT
YKCPHITEVEPEDIDCWCNLTSTWVTYGTCNQAGERRRDKRSVALAPHVG
MGLDTRTQTWMSAEGAWRQVEKVETWALRHPGFTILALFLAHYIGTSLTQ
KVVIFILLMLVTPSMT
>C31
FHLTTRGGEPHMIVSKQERGKSLLFKTSAGVNMCTLIAMDLGELCEDTMT
YKCPQITEAEPDDVDCWCNATDTWVTYGTCSQTGEHRRDKRSVALAPHVG
LGLETRTETWMSSEGAWKQIQRVETWALRHPGFTVIALFLAHAIGTSITQ
KGTIFILLMLATPSMA
>C32
FHLTSRNGEPRMIVGKNERGKSLLFKTASGINMCTLIAMDLGEMCDDTVT
YKCPHITEVEPEDIDCWCNLTSTWVTYGTCNQAGEHRRDKRSVALAPHVG
MGLDTRTQTWMSAEGAWRQVEKVETWALRHPGFTILALFLAHYIGTSLTQ
KVVIFILLMLVTPSMT
>C33
FHLTTRNGEPHMIVGRQEKGKSLLFKTEDGVNMCTLMAIDLGELCEDTIT
YKCPLLRQNEPEDIDCWCNSTSTWVTYGTCTTTGEHRREKRSVALVPHVG
MGLETRTETWMSSEGAWKHVQRIETWILRHPGFTIMAAILANTIGTTHFQ
RALIFILLTAVAPSMT
>C34
FHLTTRGGEPHMIVGKQERGKSLLFKTSAGVNMCTLIAMDLGELCEDTMT
YKCPRITEAEPDDVDCWCNATDTWVTYGTCSQTGEHRRDKRSVALAPHVG
LGLETRTETWMSSEGAWRQIQKVETWALRHPGFTVIALFLAHAIGTSITQ
KGIIFILLMLVTPSMA
>C35
FHLTSRDGEPRMIVGKNERGKSLLFKTASGINMCTLIAMDLGEMCDDTVT
YKCPLIAEVEPEDIDCWCNLTSTWVTYGTCNQAGEHRRDKRSVALAPHVG
MGLDTRTQTWMSAEGAWRQVEKVETWALRHPGFTILALFLAHYIGTSLTQ
KVVIFILLMLVTPSMA
>C36
FHLTTRNGEPHMIVSMQEKGKSLLFKTEDGVNMCTLMAMDLGELCEDTIT
YKCPLLRQNEPEDIDCWCNSTSTWVTYGTCTTTGEHRREKRSVALVPHVG
MGLETRTETWMSSEGAWKHAQRIETWILRHPGFTIMAAILAYTIGTTHFQ
RALIFILLTAVAPSMT
>C37
FHLTTRNGEPHMIVSRQEKGKSLLFKTEDGVNMCTLMAMDLGELCEDTIT
YNCPLLRQNEPEDIDCWCNSTSTWVTYGTCTAPGDHRREKRSVALVPHVG
MGLETRTETWMSSEGAWKHAQRIETWILRHPGFTIMAAILAYTIGTTYFQ
RVLILILLTAVAPSMT
>C38
FHLTSRDGEPRMIVGKNERGKTLLFKTASGINMCTLIAMDLGEMCDDTVT
YKCPHITEVEPEDIDCWCNLTSTWVTYGTCNQAGEHRRDKRSVALAPHVG
MGLDTRTQTWMSAEGAWRQVEKVETWALRHPGFTILALFLAHYIGTSLTQ
KVVIFILLMLVTPSMT
>C39
FHLTTRGGEPHMIVSKQERGKSLLFKTSAGVNMCTLIAMDLGELCEDTMT
YKCPRITEAEPDDVDCWCNATDTWVTYGTCSQTGEHRREKRSVALAPHVG
LGLETRTETWMSSEGAWKQIQRVETWALRHPGFTVIAFFLAHAIGTSITQ
KGIIFILLMLVTPSMA
>C40
FHLTTRNGEPHMIVSRQEKGKSLLFKTEDGVNMCTLMAMDLGELCEDTIT
YNCPLLRQNEPEDIDCWCNSTSTWVTYGTCTATGEHRREKRSVALVPHVG
MGLETRTETWMSSEGAWKHAQRIETWILRHPGFAIMAAILAYTIGTTHFQ
RVLIFILLTAVAPSMT
>C41
FHLTTRGGEPHMIVSKQERGKSLLFKTSAGVNMCTLIAMDLGELCEDTMT
YKCPQITEAEPDDVDCWCNATDTWVTYGTCSQTGEHRRDKRSVALAPHVG
LGLETRTETWMSSEGAWKQIQRVETWALRHPGFTVIAFFLAHAIGTSITQ
KGIIFILLMLVTPSMA
>C42
FHLTTRNGEPHMIVSRQEKGKSLLFKTEDGVNMCTLMAMDLGELCEDTIT
YNCPLLRQNEPEDIDCWCNSTSTWVTYGTCTATGEHRREKRSVALVPHVG
MGLETRTETWMSSEGAWKHAQRIETWILRHPGFTVMAAILAYTIGTTYFQ
RVLIFILLTAVAPSMT
>C43
FHLTTRGGEPHMIVGKQERGKSLLFKTSAGVNMCTLIAMDLGELCDDTMT
YKCPRITETEPDDVDCWCNATETWVTYGTCSQTGEHRRDKRSVALAPHVG
LGLETRTETWMSSEGAWRQIQKVETWALRHPGFTVIALFLAHAIGTSITQ
KGIIFILLMLVTPSMA
>C44
FHLTSRDGEPRMIVGKNERGKSLLFKTATGINMCTLIAMDLGEMCDDTVT
YKCPLIAEVEPEDIDCWCNLTSAWVTYGTCNQAGEHRRDKRSVALAPHVG
MGLDTRTQTWMSAEGAWRQVEKVETWALRHPGFTILALFLAHYIGTSLIQ
KVVIFILLMLVTPSMT
>C45
FHLTTRGGEPHMIVSKQERGKSLLFKTSAGVNMCTLIAMDLGELCEDTMT
YKCPQITEAEPDDVDCWCNATDTWVTYGTCSQTGEHRRDKRSVALAPHVG
LGLETRTETWMSSEGAWKQIQRVETWALRHPGFTVVAFFLAHAIGTSITQ
KGIIFILLMLVTPSMA
>C46
FHLTTRNGEPHMIVGIQEKGKSLLFKTEDGVNMCTLMAMDLGELCEDTIT
YKCPLLRQNEPEDIDCWCNSTSTWVTYGTCTTTGEHRREKRSVALVPHVG
MGLETRTETWMSSEGAWKHAQRIETWILRHPGFTIMAVILAYTIGTTHFQ
RVLIFILLTAVAPSMT
>C47
FHLTSRDGEPRMIVGKNERGKSLLFKTASGINMCTLIAMDLGEMCDDTVT
YKCPHITEVEPEDIDCWCNLTSTWVTYGTCNQAGEHRRDKRSVALAPHVG
MGLDTRTQTWMSAEGAWRQVEKVETWALRHPGFTILALFLAHYIGTSLTQ
KVVIFTLLMLVTPSMT
>C48
FHLTSRDGEPRMIVGKNERGKSLLFKTASGINMCTLIAMDLGEMCDDTVT
YRCPLIAEVEPEDIDCWCNLTSTWVTYGTCNQAGEHRRDKRSVALAPHVG
MGLDTRTQTWMSAEGAWRQVEKVETWALRHPGFTILALFLAHYIGTSLTQ
KVVIFTLLMLVTPSMT
>C49
FHLTSRDGEPRMIVGKNERGKSLLFKTASGINMCTLIAMDLGEMCDDTVT
YKCPHITEVEPEDIDCWCNLTSTWVTYGTCNQAGEHRRDKRSVAIAPHVG
MGLDTRTQTWMSAEGAWRQVEKVETWALRHPGFTILALFLAHYIGTSLTQ
KVVIFILLMLVTPSMT
>C50
FHLTSRDGEPRMIVGKNERGKSLLFKTATGINMCTLIAMDLGEMCDDTVT
YKCPLIAEVEPEDIDCWCNLTSTWVTYGTCNQAGEHRRDKRSVALAPHVG
MGLDTRTQTWMSAEGAWRQVEKVETWALRHPGFTILALFLAHYIGTSLIQ
KVVIFILLMLVTPSMT

PROGRAM: T-COFFEE Version_10.00.r1613 (2013-10-22 15:49:04 - Revision 1613 - Build 427)
-full_log      	S	[0] 
-genepred_score	S	[0] 	nsd
-run_name      	S	[0] 
-mem_mode      	S	[0] 	mem
-extend        	D	[1] 	1 
-extend_mode   	S	[0] 	very_fast_triplet
-max_n_pair    	D	[0] 	10 
-seq_name_for_quadruplet	S	[0] 	all
-compact       	S	[0] 	default
-clean         	S	[0] 	no
-do_self       	FL	[0] 	0
-do_normalise  	D	[0] 	1000 
-template_file 	S	[0] 
-setenv        	S	[0] 	0
-template_mode 	S	[0] 
-flip          	D	[0] 	0 
-remove_template_file	D	[0] 	0 
-profile_template_file	S	[0] 
-in            	S	[0] 
-seq           	S	[0] 
-aln           	S	[0] 
-method_limits 	S	[0] 
-method        	S	[0] 
-lib           	S	[0] 
-profile       	S	[0] 
-profile1      	S	[0] 
-profile2      	S	[0] 
-pdb           	S	[0] 
-relax_lib     	D	[0] 	1 
-filter_lib    	D	[0] 	0 
-shrink_lib    	D	[0] 	0 
-out_lib       	W_F	[0] 	no
-out_lib_mode  	S	[0] 	primary
-lib_only      	D	[0] 	0 
-outseqweight  	W_F	[0] 	no
-dpa           	FL	[0] 	0
-seq_source    	S	[0] 	ANY
-cosmetic_penalty	D	[0] 	0 
-gapopen       	D	[0] 	0 
-gapext        	D	[0] 	0 
-fgapopen      	D	[0] 	0 
-fgapext       	D	[0] 	0 
-nomatch       	D	[0] 	0 
-newtree       	W_F	[0] 	default
-tree          	W_F	[0] 	NO
-usetree       	R_F	[0] 
-tree_mode     	S	[0] 	nj
-distance_matrix_mode	S	[0] 	ktup
-distance_matrix_sim_mode	S	[0] 	idmat_sim1
-quicktree     	FL	[0] 	0
-outfile       	W_F	[0] 	default
-maximise      	FL	[1] 	1
-output        	S	[1] 	score_ascii	html	score_ascii
-len           	D	[0] 	0 
-infile        	R_F	[1] 	input.prot.fasta.muscle_rs_0_0.fasta.aln
-matrix        	S	[0] 	default
-tg_mode       	D	[0] 	1 
-profile_mode  	S	[0] 	cw_profile_profile
-profile_comparison	S	[0] 	profile
-dp_mode       	S	[0] 	linked_pair_wise
-ktuple        	D	[0] 	1 
-ndiag         	D	[0] 	0 
-diag_threshold	D	[0] 	0 
-diag_mode     	D	[0] 	0 
-sim_matrix    	S	[0] 	vasiliky
-transform     	S	[0] 
-extend_seq    	FL	[0] 	0
-outorder      	S	[0] 	input
-inorder       	S	[0] 	aligned
-seqnos        	S	[0] 	off
-case          	S	[0] 	keep
-cpu           	D	[0] 	0 
-maxnseq       	D	[0] 	1000 
-maxlen        	D	[0] 	-1 
-sample_dp     	D	[0] 	0 
-weight        	S	[0] 	default
-seq_weight    	S	[0] 	no
-align         	FL	[1] 	1
-mocca         	FL	[0] 	0
-domain        	FL	[0] 	0
-start         	D	[0] 	0 
-len           	D	[0] 	0 
-scale         	D	[0] 	0 
-mocca_interactive	FL	[0] 	0
-method_evaluate_mode	S	[0] 	default
-evaluate_mode 	S	[1] 	t_coffee_fast
-get_type      	FL	[0] 	0
-clean_aln     	D	[0] 	0 
-clean_threshold	D	[1] 	1 
-clean_iteration	D	[1] 	1 
-clean_evaluate_mode	S	[0] 	t_coffee_fast
-extend_matrix 	FL	[0] 	0
-prot_min_sim  	D	[40] 	40 
-prot_max_sim  	D	[90] 	90 
-prot_min_cov  	D	[40] 	40 
-pdb_type      	S	[0] 	d
-pdb_min_sim   	D	[35] 	35 
-pdb_max_sim   	D	[100] 	100 
-pdb_min_cov   	D	[50] 	50 
-pdb_blast_server	W_F	[0] 	EBI
-blast         	W_F	[0] 
-blast_server  	W_F	[0] 	EBI
-pdb_db        	W_F	[0] 	pdb
-protein_db    	W_F	[0] 	uniprot
-method_log    	W_F	[0] 	no
-struc_to_use  	S	[0] 
-cache         	W_F	[0] 	use
-align_pdb_param_file	W_F	[0] 	no
-align_pdb_hasch_mode	W_F	[0] 	hasch_ca_trace_bubble
-external_aligner	S	[0] 	NO
-msa_mode      	S	[0] 	tree
-master        	S	[0] 	no
-blast_nseq    	D	[0] 	0 
-lalign_n_top  	D	[0] 	10 
-iterate       	D	[1] 	0 
-trim          	D	[0] 	0 
-split         	D	[0] 	0 
-trimfile      	S	[0] 	default
-split         	D	[0] 	0 
-split_nseq_thres	D	[0] 	0 
-split_score_thres	D	[0] 	0 
-check_pdb_status	D	[0] 	0 
-clean_seq_name	D	[0] 	0 
-seq_to_keep   	S	[0] 
-dpa_master_aln	S	[0] 
-dpa_maxnseq   	D	[0] 	0 
-dpa_min_score1	D	[0] 
-dpa_min_score2	D	[0] 
-dpa_keep_tmpfile	FL	[0] 	0
-dpa_debug     	D	[0] 	0 
-multi_core    	S	[0] 	templates_jobs_relax_msa_evaluate
-n_core        	D	[0] 	0 
-max_n_proc    	D	[0] 	0 
-lib_list      	S	[0] 
-prune_lib_mode	S	[0] 	5
-tip           	S	[0] 	none
-rna_lib       	S	[0] 
-no_warning    	D	[0] 	0 
-run_local_script	D	[0] 	0 
-plugins       	S	[0] 	default
-proxy         	S	[0] 	unset
-email         	S	[0] 
-clean_overaln 	D	[0] 	0 
-overaln_param 	S	[0] 
-overaln_mode  	S	[0] 
-overaln_model 	S	[0] 
-overaln_threshold	D	[0] 	0 
-overaln_target	D	[0] 	0 
-overaln_P1    	D	[0] 	0 
-overaln_P2    	D	[0] 	0 
-overaln_P3    	D	[0] 	0 
-overaln_P4    	D	[0] 	0 
-exon_boundaries	S	[0] 
-dump          	S	[0] 	no
-display       	D	[0] 	100 

INPUT FILES
	Input File (S) input.prot.fasta.muscle_rs_0_0.fasta.aln  Format clustal_aln
	Input File (M) proba_pair 

Identify Master Sequences [no]:

Master Sequences Identified
INPUT SEQUENCES: 50 SEQUENCES  [PROTEIN]
	Multi Core Mode: 72 processors:

-email         	S	[0] 
-clean_overaln 	D	[0] 	0 
-overaln_param 	S	[0] 
-overaln_mode  	S	[0] 
-overaln_model 	S	[0] 
-overaln_threshold	D	[0] 	0 
-overaln_target	D	[0] 	0 
-overaln_P1    	D	[0] 	0 
-overaln_P2    	D	[0]