--- EXPERIMENT NOTES
--- EXPERIMENT PROPERTIES
#Tue Jun 05 16:33:57 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/NS4A_2/input.fasta
input.names=
mrbayes.params=
codeml.params=
--- PSRF SUMMARY
Estimated marginal likelihoods for runs sampled in files
"/opt/ADOPS1/DNG_A2/NS4A_2/batch/allfiles/mrbayes/input.fasta.fasta.mrb.run1.p" and "/opt/ADOPS1/DNG_A2/NS4A_2/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/NS4A_2/batch/allfiles/mrbayes/input.fasta.fasta.mrb.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -3938.91 -3987.23
2 -3937.01 -3984.71
--------------------------------------
TOTAL -3937.56 -3986.61
--------------------------------------
Model parameter summaries over the runs sampled in files
"/opt/ADOPS1/DNG_A2/NS4A_2/batch/allfiles/mrbayes/input.fasta.fasta.mrb.run1.p" and "/opt/ADOPS1/DNG_A2/NS4A_2/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/NS4A_2/batch/allfiles/mrbayes/input.fasta.fasta.mrb.pstat".
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median min ESS* avg ESS PSRF+
------------------------------------------------------------------------------------------------------
TL{all} 7.749582 0.356761 6.545272 8.849844 7.751670 790.14 982.96 1.000
r(A<->C){all} 0.034239 0.000077 0.018249 0.052111 0.033800 862.66 899.71 1.000
r(A<->G){all} 0.226437 0.000602 0.178518 0.273260 0.226014 498.49 540.86 1.000
r(A<->T){all} 0.063218 0.000133 0.039886 0.084638 0.062825 763.03 763.15 1.000
r(C<->G){all} 0.031004 0.000073 0.014370 0.046974 0.030418 855.97 873.27 1.000
r(C<->T){all} 0.607308 0.000900 0.544846 0.663118 0.606890 477.37 529.31 1.000
r(G<->T){all} 0.037794 0.000104 0.018790 0.057794 0.037019 750.45 777.59 1.000
pi(A){all} 0.303594 0.000246 0.271346 0.333771 0.303899 731.89 782.24 1.000
pi(C){all} 0.246493 0.000215 0.218080 0.274395 0.246176 609.64 669.83 1.000
pi(G){all} 0.238070 0.000220 0.210174 0.266497 0.237880 764.42 830.14 1.000
pi(T){all} 0.211843 0.000164 0.187687 0.236973 0.211571 645.81 666.91 1.000
alpha{1,2} 0.270078 0.000748 0.218131 0.323620 0.268158 1025.94 1261.26 1.000
alpha{3} 4.189225 0.879144 2.519330 6.045427 4.087199 1142.90 1321.95 1.000
pinvar{all} 0.034656 0.000597 0.000021 0.081441 0.030302 1468.02 1484.51 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 -3776.977823
Model 2: PositiveSelection -3776.977823
Model 0: one-ratio -3809.811315
Model 3: discrete -3744.527028
Model 7: beta -3747.331055
Model 8: beta&w>1 -3745.998013
Model 0 vs 1 65.6669839999995
Model 2 vs 1 0.0
Model 8 vs 7 2.66608400000041
>C1
SLTLSLITEMGRLPTFMTQKTRDALDNLAVLHTAEAGGRAYNHALSELPE
TLETLLLLTLLATVTGGIFLFLMSGRGIGKMTLGMCCIITASILLWYAQI
QPHWIAASIILEFFLIVLLIPEPEKQR
>C2
SLTLNLITEMGRLPTFMTQKARNALDNLAVLHTAETGGKAYNHALSELPE
TLETLLLLTLLATVTGGIFLFLMSGKGIGKMTLGMCCIITASILLWYAQI
QPHWIAASIILEFFLIVLLIPEPEKQR
>C3
SIALDLVTEIGRVPSHLAHTVRNALDNLVMLHTSEHGGRAYRHAVEELPE
TMETLLLLGLMILLTGGAMLFLISGKGIGKTSIGLICVIASSGMLWMADV
PLQWIASAIVLEFFMMVLLIPEPEKQR
>C4
SVSGDLILEIGKLPQHLTQRAQSALDNLVMLHNSEQGGRAYRHAMEELPD
TIETLMLLALIAVLTGGVTLFFLSGRGLGKTSIGLLCVMASSVLLWMASV
EPHWIAASIILEFFLMVLLIPEPDRQR
>C5
SLTLNLITEMGRLPTFMTQKARNALDNLAVLHTAEAGGRAYNHALSELPE
TLETLLLLTLLATVTGGIFLFLMSGRGIGKMTLGMCCIITASILLWYAQI
QPHWIAASIILEFFLIVLLIPEPEKQR
>C6
SVSGDLILEIGKLPQHLTQRAQNALDNLVMLHNSEQGGRAYRHAMEELPD
TIETLMLLALIAVLTGGWTLFFLSGRGLGKTSIGLLCVMASSVLLWMASV
EPHWIAASIILEFFLMVLLIPEPDRQR
>C7
SITLDILTEIASLPMYLSSRAKLALDNIVMLHTTERGGKAYQHALNELPE
SLETLMLVALLGAMTAGIFLFFMQGKGIGKLSMGLIAIAVASGLLWVAEI
QPQWIAASIILEFFLMVLLVPEPEKQR
>C8
SVSGDLILEIGKLPQHLTQRAQNALDNLVMLHNSEQGGRAYRHAMEELPD
TIETLMLLALIAALTGGVTLFFLSGRGLGKTSIGLLCVMASSVLLWMASV
EPHWIAASIILEFFLMVLLIPEPDRQR
>C9
SLTLNLITEMGRLPTFMTQKARNALDNLAVLHTAEAGGRAYNHALSELPE
TLETLLLLTLLATVTGGIFLFLMSGKGIGKMTLGMCCIITASILLWHAQI
QPHWIAASIILEFFLIVLLIPEPEKQR
>C10
SITLDILTEIASLPTYLSSRAKLALDNIVMLHTTERGGRAYQHALNELPE
SLETLMLVALLGAMTAGIFLFFMQGKGIGKLSMGLITIAVASGLFWVAEI
QPQWIAASIILEFFLMVLLIPEPEKQR
>C11
SVSGDLILEIGKLPQHLTLRAQSALDNLVMLHNSEQGGKAYRHAMEELPD
TIETLMLLALIAVLTGGVMLFFLSGKGLGKTSIGLLCVTASSALLWMASV
EPHWIAASIILEFFLMVLLIPEPDRQR
>C12
SLTLNLITEMGRLPTFMTQKARDALDNLAVLHTAEAGGKAYNHALSELPE
TLETLLLLTLLATVTGGIFLFLMSGKGIGKMTLGMCCIITASILLWYAQI
QPHWIAASIILEFFLIVLLIPEPEKQR
>C13
SLTLNLITEMGRLPTFMTQKTRDALDNLAVLHTAEAGGRAYNHALSELPE
TLETLLLLTLLATVTGGIFLFLMSGRGIGKMTLGMCCIITASTLLWYAQI
QPHWIAASIILEFFLIVLLIPEPEKQR
>C14
SLTLNLITEMGRLPTFMTQKARNALDNLAVLHTAEAGGRAYNHALSELPE
TLETLLLLTLLATVTGGIFLFLMSGKGIGKMTLGMCCIITASVLLWHAQI
QPHWIAASIILEFFLIVLLIPEPEKQR
>C15
SIALDLVTEIGRVPSHLAHRTRNALDNLVMLHTSEHGGRAYRHAVEELPE
TMETLLLLGLMILLTGGAMLFLISGRGIGKTSIGLICVIVSSGMLWMADV
PLQWIASAIVLEFFMMVLLIPEPEKQR
>C16
SGSGDLILEIGKLPQHLTLRAQNGLDNLVMVHNSEQGGKAYRHAMEELPD
TIETLMLLALIAVLTGGVTLFFLSGKGLGKTSIGLLCVTASSALLWMASV
EPHWIAASIILEFFLMVLLIPEPDRQR
>C17
SIALDLVTEIGRVPSHLAHRTRNALDNLVMLHTSEHGGRAYRHAVEELPE
TMETLLLLGLMILLTGGAMLFLISGKGIGKTSIGLICVIASSGMLWMADI
PLQWIASAIVLEFFMMVLLIPEPEKQR
>C18
SIALDLVTEIGRVPSHLAHRTRNALDNLVMLHTSEHGGRAYRHAVEELPE
TMETLLLLGLMILLTSGAMLFLISGKGIGKTSIGLICVIVSSGMLWMADV
PLQWIASAIVLEFFMMVLLIPEPEKQR
>C19
SLTLNLITEMGRLPTFMTQKTRDALDNLAVLHTAEAGGRAYNHALSELPE
TLETLLLLALLATVTGGIFLFLMSGRGIGKMTLGMCCIITASILLWYAQI
QPHWIAASIILEFFLIVLLIPEPEKQR
>C20
SITLDILTEIASLPTYLSSRAKLALDNIVMLHTTERGGRAYQHALNELPE
SLETLMLVALLGAMTAGIFLFFMQGKGIGKLSMGLIAIAVASGLLWVAEI
QPQWIAASIILEFFLMVLLIPEPEKQR
>C21
SLTLNLITEMGRLPTFMTQKARDALDNLAVLHTAEAGGRAYKHALSELPE
TLETLLLLTLLATVTGGIFLFLMSGKGIGKMTLGMCCIITASILLWYAQI
QPHWIAASIILEFFLIVLLIPEPEKQR
>C22
SVSGDLILEIGKLPQHLTLRAQNALDNLVMLHNSEQGGKAYRHAMEELPD
TIETLMLLALIAVLTGGVTLFFLSGKGLGKTSIGLLCVMASSALLWVASV
EPHWIAASIILEFFLMVLLIPEPDRQR
>C23
SLTLNLITEMGRLPTFMTQKARNALDNLAVLHTAEAGGKAYNHALSELPE
TLETLLLLALLATVTGGIFLFLMSGKGIGKMTLGMCCIITASILLWYAQI
QPHWIAASIILEFFLIVLLIPEPEKQR
>C24
SITLDILTEIASLPTYLSSRAKLALDNIVMLHTTERGGKAYQHALNELPE
SLETLMLVALLGAMTAGIFLFFMQGKGIGKLSMGLIAIAVASGLLWVAEI
QPQWIAASIILEFFLMVLLVPEPEKQR
>C25
SVSGDLILEIGKIPQHLTQRAQNALDNLVMLHNSEQGGRAYRHAMEELPD
TIETLMLLALIAVLTGGVTLFFLSGKGLGKTSIGLLCVMASSVLLWMASV
EPHWIAASIILEFFLMVLLIPEPDRQR
>C26
SIALDLVTEIGRVPSHLAYRTRNALDNLMMLHTSEHGGRAYRHAVEELPE
TMETLLLLGLMILLTGGAMLFLISGKGIGKTSIGLICVIVSSGMLWMADV
PLQWIASAIVLEFFMMVLLIPEPEKQR
>C27
SLTLSLITEMGRLPTFMTQKTRDALDNLAVLHSAEMGGRAYNHALSELPE
TLETLLLLGLLATVTGGIFLFLMSGRGVGKTTLGMCCIITASGLLWYAQI
QPHWIAASIILEFFLIVLLIPEPEKQR
>C28
SIALDLVTEIGRVPSHLAHRTRNALDNLVMLHTSEHGGRAYRHAVEELPE
TMETLLLLGLMILLTGGVMLFLISGKGIGKTSIGLICVIVSSGMLWMADV
PLQWIASAIVLEFFMMVLLIPEPEKQR
>C29
SITLDILTEIASLPTYLSSRAKLALDNIVMLHTTERGGRAYQHALNELPE
SLETLMLVALLGAMTAGIFLFFMQGKGIGKLSMGLITIAVASGLLWIAEI
QPQWIAASIILEFFLMVLLIPEPEKQR
>C30
SLALNLITEMGRLPTFMTQKARNALDNLAVLHTAEAGGRAYNHALSELPE
TLETLLLLTLLATVTGGIFLFLMSGKGIGKMTMGMCCIITASILLWYAQI
QPHWIAASIILEFFLIVLLIPEPEKQR
>C31
SLTLNLITEMGRLPTFMTQKTRDALDNLAVLHTAEAGGRAYNHALSELPE
TLETLLLLTLLATVTGGIFLFLMSGRGIGKMTLGMCCIITASILLWNAQI
QPHWIAASIILEFFLIVLLIPEPEKQR
>C32
SVSGDLILEIGKLPQHLTQRAQNALDNLVMLHNSEQGGKAYRHAMEELPD
TIETLMLLALIAVLTGGVTLFFLSGRGLGKTSIGLLCVMASSALLWMASV
EPHWIAASITLEFFLMVLLIPEPDRQR
>C33
SLTLNLITEMGRLPTFMTHKAINALDNLAVLHTAEAGGRAYNHALSELPE
TLETLLLLTLLATVTGGIFLFLMSGKGIGKMTLGMCCIITASILLWYAQI
QPHWIAASIILEFFLIVLLIPEPEKQR
>C34
SLTLNLITEMGRLPTFMTQKARNALDNLAVLHTAEAGGKAYNHALSELPE
TLETLLLLTLLATVTGGIFLFLMSGKGIGKMTLGMCCIITASILLWYAQI
QPHWIAASIILEFFLIVLLIPEPEKQR
>C35
SLTLNLITEMGRLPTFMTQKARNALDNLAVLHTAEVGGRAHTHALSELPE
TLETLLLLTLLATVTGGIFLFLMSGKGIGKMTLGMCCIITASILLWYAQI
QPHWIAASIILEFFLIVLLIPEPEKQR
>C36
SIALDLVTEIGRVPSHLAHRTRNALDNLVMLHTSEHGGRAYRHAVEELPE
TMETLLLLGLMILLTGGVMLFLISGKGVGKTSIGLICVVASSGMLWMADI
PLQWIASAIVLEFFMMVLLIPEPEKQR
>C37
SVSGDLILEIGKLPQHLTQRAQNALDNLVMLHNSEQGGRAYRHAMEELPD
TIETLMLLALIAVLTGGVTLFFLSGRGLGKTSIGLLCVMASSTLLWMASV
EPHWIAASIILEFFLMVLLIPEPDRQR
>C38
SLTLNLITEMGRLPTFMTQKAKNALDNLAVLHTAEAGGRAYNHALSELPE
TLETLLLLTLLATVTGGIFLFLMSGKGIGKMTLGMCCIITASILLWYAQI
QPHWIAASIILEFFLIVLLIPEPEKQR
>C39
SIALDLVTEIGRVPSHLAHRTRNALDNLVMLHTSEHGGRAYRHAVEELPE
TMETLLLLGLMILLTGGAMLFLISGKGIGKTSIGLICVIASSGMLWMAAI
PLQWIASAIVLEFFMMVLLIPEPEKQR
>C40
SVSGDLILEIGKLPQHLTLRAQNALDNLVMLHNSEQGGKAYRHAMEELPD
TIETLMLLALIAVLTGGVTLFFLSGKGLGKTSIGLLCVTASSVLLWMASV
EPHWIAASIILEFFLMVLLIPEPDRQR
>C41
SLTLNLITEMGRLPTFMTQKARDALDNLAVLHTAEAGGRAYNHALSELPE
TLETLLLLTLLAAVTGGIFLFLMSGKGIGKMTLGMCCIITASILLWYAQI
QPHWIAASIILEFFLIVLLIPEPEKQR
>C42
SVSGDLILEIGKLPQHLTQRAQNALDNLVMLHNSEQGGKAYRHAMEELPD
TIETLMLLALIAVLTGGVTLFFLSGRGLGKTSIGLLCVIASSALLWMASV
EPHWIAASIILEFFLMVLLIPEPDRQR
>C43
SVSGDLILEIGKLPQHLTQRAQNALDNLVMLHNSEQGGRAYRHAMEELPD
TIETLMLLALIAVLTGGVTLFFLSGRGLGKTCIGLLCVMASSVLLWMASV
EPHWIAASIILEFFLMVLLIPEPDRQR
>C44
SLALNLITEMGRLPTFMTQKTRDALDNLAVLHTAEAGGRAYNHALSELPE
TLETLLLLTLLATVTGGIFLFLMSGRGIGKMTLGMCCIITASILLWYAQI
QPHWIAASIILEFFLIVLLIPEPEKQR
>C45
SITLDILTEIATLPTYLSSKAKLALDNIVMLHTTEKGGRAYQHALNELPE
SLETLMLVALLGAMTAGIFLFFMQGKGIGKLSMGLIAIAVASGLLWVAEI
QPQWIAASIILEFFLMVLLIPEPEKQR
>C46
SVSGDLILEIGKLPQHLTQRAQNALDNLVMLHNSEQGGRAYRHAMEELPD
TIETLMLLALIAVLTGGVTLFFLSGRGLGKTSIGLLCVTASSVLLWMASV
EPHWIAASIILEFFLMVLLIPEPDRQR
>C47
SIALDLVTEIGRVPSHLAHRTRNALDNLVMLHTSEHGGRAYKHAVEELPE
TMETLLLLGLMILLTGGAMLFLISGKGIGKTSIGLICVIVSSGMLWMADV
PLQWIASAIVLEFFMMVLLIPEPEKQR
>C48
SVSGDLILEIGKLPQHLTLRAQNALDNLVMLHNSEQGGKAYRHAMEELPD
TIETLMLLALIAVLTGGVMLFFLSGKGLGKTSIGLLCVTASSALLWMASV
EPHWIAASIVLEFFLMVLLIPEPDRQR
>C49
SLTLNLITEMGRLPTFMTQKARDALDNLAVLHTAEAGGRAYNHALSELPE
TLEILLLLTLLATVTGGIFLFLMSGRGIGKMTLGMCCIITASILLWYAQI
QPHWIAASIILEFFLIVLLIPEPEKQR
>C50
SLTLNLITEMGRLPTFMTQKARNALDNLAVLHTAEAGGRAYNHALSELPE
TLETLLLLTLLATVTGGIFLFLMSGKGIGKMTLGMCCIITASVLLWYAQI
QPHWIAASIILEFFLIVLLIPEPEKQR
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]
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-output S [1] score_ascii html score_ascii
-len D [0] 0
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-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
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-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
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-clean_evaluate_mode S [0] t_coffee_fast
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-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
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-plugins S [0] default
-proxy S [0] unset
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-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] 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:
--- Process Method/Library/Aln Sinput.prot.fasta.muscle_rs_0_0.fasta.aln
-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:
--- Process Method/Library/Aln Sinput.prot.fasta.muscle_rs_0_0.fasta.aln
-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:
--- Process Method/Library/Aln Sinput.prot.fasta.muscle_rs_0_0.fasta.aln
-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:
--- Process Method/Library/Aln Sinput.prot.fasta.muscle_rs_0_0.fasta.aln
-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:
--- Process Method/Library/Aln Sinput.prot.fasta.muscle_rs_0_0.fasta.aln
-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:
--- Process Method/Library/Aln Sinput.prot.fasta.muscle_rs_0_0.fasta.aln
-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:
--- Process Method/Library/Aln Sinput.prot.fasta.muscle_rs_0_0.fasta.aln
-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
