--- 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] -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] 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