--- EXPERIMENT NOTES
--- EXPERIMENT PROPERTIES
#Fri Jun 01 22:17:02 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_A1/NS2B_2/input.fasta
input.names=
mrbayes.params=
codeml.params=
--- PSRF SUMMARY
Estimated marginal likelihoods for runs sampled in files
"/opt/ADOPS1/DNG_A1/NS2B_2/batch/allfiles/mrbayes/input.fasta.fasta.mrb.run1.p" and "/opt/ADOPS1/DNG_A1/NS2B_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_A1/NS2B_2/batch/allfiles/mrbayes/input.fasta.fasta.mrb.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -4028.13 -4070.10
2 -4026.17 -4071.82
--------------------------------------
TOTAL -4026.73 -4071.29
--------------------------------------
Model parameter summaries over the runs sampled in files
"/opt/ADOPS1/DNG_A1/NS2B_2/batch/allfiles/mrbayes/input.fasta.fasta.mrb.run1.p" and "/opt/ADOPS1/DNG_A1/NS2B_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_A1/NS2B_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} 7.107565 0.288218 6.110475 8.211834 7.070084 1035.36 1060.76 1.000
r(A<->C){all} 0.069804 0.000136 0.046215 0.091549 0.069147 704.57 817.45 1.001
r(A<->G){all} 0.233700 0.000599 0.190221 0.283874 0.233110 506.93 539.09 1.000
r(A<->T){all} 0.059876 0.000127 0.038825 0.081925 0.059499 808.40 860.44 1.000
r(C<->G){all} 0.046164 0.000122 0.026560 0.069557 0.045426 753.31 837.11 1.000
r(C<->T){all} 0.554024 0.000969 0.492999 0.613590 0.553923 508.81 520.69 1.000
r(G<->T){all} 0.036432 0.000091 0.017427 0.054539 0.035681 930.57 992.69 1.000
pi(A){all} 0.317266 0.000249 0.287296 0.349006 0.317439 885.20 991.26 1.000
pi(C){all} 0.219754 0.000181 0.194416 0.245452 0.219293 953.23 980.99 1.000
pi(G){all} 0.240856 0.000205 0.212871 0.268755 0.240808 629.75 723.88 1.000
pi(T){all} 0.222124 0.000186 0.194402 0.248038 0.222086 747.66 774.03 1.000
alpha{1,2} 0.280620 0.001055 0.220697 0.342800 0.278100 1117.85 1174.90 1.002
alpha{3} 3.933918 0.821003 2.276941 5.743397 3.812010 1501.00 1501.00 1.000
pinvar{all} 0.053898 0.000619 0.007496 0.100735 0.052471 1200.86 1318.30 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 -3847.664429
Model 2: PositiveSelection -3847.664429
Model 0: one-ratio -3872.217263
Model 3: discrete -3824.299285
Model 7: beta -3829.663625
Model 8: beta&w>1 -3825.61521
Model 0 vs 1 49.10566800000015
Model 2 vs 1 0.0
Model 8 vs 7 8.09683000000041
Additional information for M7 vs M8:
Naive Empirical Bayes (NEB) analysis
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: gb:JF920409|Organism:Dengue_virus_3|Strain_Name:DENV-3/NI/BID-V5471/2010|Protein_Name:Nonstructural_protein_NS2B|Gene_Symbol:NS2b)
Pr(w>1) post mean +- SE for w
>C1
SWPLNEGVMAVGLVSILASSLLRNDVPMAGPLVAGGLLIACYVITGTSAD
LTVEKAADITWEEEAEQTGVSHNLMITVDDDGTMRIKDDESENILTVLLK
TALLIVSGIFPYSIPATLLVWHTWQKQTQR
>C2
SWPLNEGIMAVGIVSILLSSLLKNDVPLAGPLIAGGMLISFFVISGSSAD
LSLEKAAEVSWEEEAEHSGTSHNILVEVQDDGTMKIKDEERDDTLTILLK
ATLLAVSGVYPMSIPATLFVWYFWQKKKQR
>C3
SWPLNEGVMAVGLVSILASSLLRNDVPMAGPLVAGGLLIACYVITGTSAD
LTVEKAADIIWEEEAEQTGVSHNLMITVDDDGTMRIKDDETENILTVLLK
TALLIVSGIFPYSIPATLLVWHTWQKQTQR
>C4
SWPLNEGVMAIGLVSILASSLLRNDVPMAGPLVAGGLLIACYVITGTSAD
LTVEKAADVTWEEEAEQTGVSHNLMITVDDDGTMRIKDDETEHILTVLFK
TALLIVSGVFPYSIPATLLVWHTWQKQTQR
>C5
SWPLNEAIMAVGMVSILASSLLKNDIPMTGPLVAGGLLTVCYVLTGRSAD
LELERAADVRWEEQAEISGSSPILSITISEDGSMSIKNEEEEQTLTILIR
TGLLVISGLFPASIPITAAAWYLWEVKKQR
>C6
SWPLNEAIMAVGMVSILASSLLKNDIPMTGPLVAGGLLTVCYVLTGRSAD
LELERAADVKWDDQAEISGSSPILSITISEDGSMSIKNEEEEQTLTILIR
TELLVISGLFPISIPITAAAWYLWEVKKQR
>C7
SWPLNEGIMAVGIVSILLSSLLKNDVPLAGPLIAGGMLIACYVISGSSAD
LSLEKAAEVSWEEEAEHSGASHNILVEVQDDGTMKIKDEERDDTLTILLK
ATLLAVSGVYPLSIPATLFVWCFWQKKKQR
>C8
SWPLNEGVMAVGLVSILASSLLRNDVPMAGPLVAGGLLIACYVITGTSAD
LTVEKAADITWEEEAEQTGVSHNLMITVDDDGTMRIKDDETENILTVLLK
TALLVVSGVFPYSIPATLLVWHTWQKQTQR
>C9
SWPLNEAIMAVGMVSILASSFLKNDIPMTGPLVAGGLLTVCYVLTGRSAD
LELERAADIRWEEQAEISGSSPILSITISEDGSMSIKNEEEEQTLTILIR
TGLLVISGLFPVSIPITAAAWYLWEVKKQR
>C10
SWPLNEGIMAVGIVSILLSSLLKNDVPLAGPLIAGGMLIACYVISGSSAD
LSLEKAAEVSWEEEAEHSGASHNILVEVQDDGTMKIKDEERDDTLTTLLK
ATLLAVSGVYPLSIPATLFVWYFWQKKKQR
>C11
SWPLNEAVMAVGMVSILASSLLKNDIPMTGPLVAGGLLTVCYVLTGRSAD
LELERAADVKWEDQAEISGSSPILSITISEDGSMSIKNEEEEHTLTILIR
TGLLVISGVFPLSIPITAAAWYLWEVKKQR
>C12
SWPLNEGIMAVGLVSLLGSALLKNDVPLAGPMVAGGLLLAAYVMSGSSAD
LSLEKAANVQWDEMADITGSSPIIEVKQDEDGSFSIRDIEETNMITLLVK
LALITVSGLYPLAIPVTMTLWYMWQVKTQR
>C13
SWPLNEGVMAVGLVSILASSLLRNDVPMAGPLVAGGLLIACYVITGTSAD
LTVEKAADITWEEEAEQTGVSHNLMITVDDDGTMRIKDDETENILTVLLK
TALLIVSGIFPYSIPATLLVWHTWQKQTQR
>C14
SWPLNEGVMAVGLVSILASSLLRNDVPMAGPLVAGGLLIACYVITGTSAD
LTVEKAADITWEEEAEQTGVSHNLTITVDDDGTMRIKDDETENILTVLLK
TALLIVSGVFPYSIPATLLVWHTWQKQTQR
>C15
SWPLNEAIMAVGMVSILASSLLKNDIPMTGPLVAGGLLTVCYVLTGRSAD
LELERATDVKWEDQAEISGSSPILSITISEDGSMSIKNEEEEQTLTILIR
TGLLVISGLFPMSIPITAAAWYLWEVKKQR
>C16
SWPLNEAVMAVGMVSILASSLLKNDIPMTGPLVAGGLLTVCYVLTGRSAD
LELEKAADVRWEDQAEISGSSPILSITISEDGSMSIKNEEEEQTLTILIR
TGLLVISGLFPISIPITAAAWYLWEVKKQR
>C17
SWPLNEGIMAVGLVSLLGSALLKNDVPLAGPMVAGGLLLAAYVMSGSSAD
LSLERAANVQWDEMADITGSSPIIEVKQDEDGSFSIRDVEETNMITLLVK
LALITVSGLYPLAIPITMTLWYMWQVRTQR
>C18
SWPLNEGIMAVGIVSILLSSFLKNDVPLAGPLIAGGMLIACYVISGSSAD
LSLEKAAEVSWEEEAEHSGASHNILVEVQDDGTMKIKDEERDDTLTILLK
ATLLAVSGMYPLSIPATLFVWYFWQKKKQR
>C19
SWPLNEGIMAIGIVSILLSSLLKNDVPLAGPLVAGGMLIACYVISGSSAD
LSLEKAAEVSWEQEAEHSGASHNILVEVQDDGTMKIKDEERDDTLTILLK
ATLLAVSGVYPMSIPATLFVWYFWQKKKQR
>C20
SWPLNEGIMAIGIVSILLSSLLKNDVPLAGPLIAGGMLIACYVISGSSAD
LSLEKAAEVSWEEEVEHSGTSHNILVEVQDDGTMKIKDEERDDTLTILLK
ATLLAVSGVYPMSIPATLFVWYFWQKKKQR
>C21
SWPLNEGIMAVGLVSLLGSALLKNDVPLAGPMVAGGLLLAAYVMSGSSAD
LSLEKAANVQWDEMADITGSSPIIEVKQDEDGSFSIQDVEETNMITLLVK
LALITVSGLYPLAIPVTMTLWYMWQVKTQR
>C22
SWPLNEGIMAIGIVSILLSSLLKNDVPLAGPLIAGGMLIACYVISGSSAD
LSLEKAAEVSWEQEAEHSGTSHNILVEVQDDGTMKIKDEERDDTLTILLK
ATLLAVSGVYPMSIPATLFVWYFWQKRKQR
>C23
SWPLNEGIMAVGVVSILLSSLLKNDVPLAGPLIAGGMLIACYVISGSSAD
LSLEKAAEVSWEEEAEHSGASHNILVEVQDDGTMKIKDEERDDTLTILLK
ATLLAVSGVYPLSIPATLFVWHFWQKKKQR
>C24
SWPLNEAIMAVGMVSILASSLLKNDIPMTGPLVAGGLLTVCYVLTGRSAD
LELEKAADVRWEDQAEISGSSPILSITISEDGSMSIKNEEEEQTLTILIR
TGLLVISGLFPVSIPITAAAWYLWEVKKQR
>C25
SWPLNEGIMAVGIVSILLSSLLKNDVPLAGPLIAGGMLIACYVISGSSAD
LSLEKAAEVSWEEEAQHSGASHNILVEVQDDGTMKIKDEERDDTLTILLK
ATLLAVSGVYPMSIPATLFVWYFWQKKKQR
>C26
SWPLNEGIMAVGLVSLLGSALLKNDVPLAGPMVAGGLLLAAYVMSGSSAD
LSLEKAANVQWDEMADITGSSPIIEVKQDEDGSFSIRDVEETNMITLLVK
LALITVSGLYPLAIPVTMALWYVWQVKTQR
>C27
SWPLNEGIMAIGIVSILLSSLLKNDVPLAGPLIAGGMLIACYVISGSSAD
LSLEKAAEVSWEQEAEHSGASHSILVEVQDDGTMKIKDEERDDTLTILLK
ATLLAVSGVYPMSIPATLFVWYFWQRKKQR
>C28
SWPLNEAIMAVGMVSILASSLLENDIPMTGPLVAGGLLTVCYVLTGRSAD
LELERAADVRWEDQAEISGSSPILSITISEDGSMSIKYEEEEPTLTILIR
TGLLVISGLFPVSIPITAAAWYLWEVKKQR
>C29
SWPLNEGIMAIGIVSILLSSLLKNDVPLAGPLIAGGMLIACYVISGSSAD
LSLEKAAEVSWEQEAEHSGTSHNILVEVQDDGTMKIKDEERDDTLTILLK
ATLLAVSGVYPMSIPATLFVWYFWQKKKQR
>C30
SWPLNEGVMAVGLVSILASSLLRNDVPMAGPLVAGGLLIACYVITGTSAD
LTVEKAADVTWEEEAEQTGVSHNLMITVDDDGTMRIKDDETENILTVLLK
TALLIVSGIFPCSIPATLLVWHTWQKQTQR
>C31
SWPLNEGIMAVGIVSILLSSLLKNDVPLAGPLIAGGMLIACYVISGSSAD
LSLEKAAVVSWEEEAEHSGASHNILVEVQDDGTMKIKDEERDDTLTILLK
ATLLAVSGVYPLSIPATLFVWYFWQKKKQR
>C32
SWPLNEAIMAVGMVSILASSFLKDDIPMTGPLVAGGLLTVCYVLTGRSAD
LELERAADIRWEEQAEISGSSPILSITISEDGSMSIKNEEEEQTLTILIR
TGLLVISGLFPVSIPITAAAWYLWEVKKQR
>C33
SWPLNEAIMAVGMVSILASSLLKNDIPMTGPLVAGGLLTVCYVLTGRSAD
LELERATNVKWEDQAEISGSSPILSITISEDGSMSIKNEEEEQTLTILIR
TGLLVISGLFPISIPITAAAWYLWEVKKQR
>C34
SWPLNEAIMAVGMVSILASSLLKNDIPMTGPLVAGGLLTVCYVLTGRSAD
LELEKAADVRWEEQAEISGSSPILSITISEDGSMSIKNEEEEQTLTILIR
TGLLVISGLFPVSIPITAAAWYLWEVKKQR
>C35
SWPLNEGIMAVGLVSLLGSALLKNDVPLAGPMVAGGLLLAAYVMSGSSAD
LSLEKAANVQWDEMADITGSSPIIEVKQDEDGSFSIRDVEETNMITLLVK
LALITVSGLYPLAIPVTMTLWYIWQVKTQR
>C36
SWPLNEGIMAVGIVSILLSSLLKNDVPLAGPLIAGGMLIACYVISGSSAD
LSLERAAEVSWEEEAEHSGASHNILVEVQDDGTMKIKDEERDDTLTILLK
ATLLAVSGVYPMSIPATLFVWYFWQKKKQR
>C37
SWPLNEGIMAVGIVSILLSSLLKNDVPLAGPLIAGGMLIACYVISGSSAD
LSLEKAAEVSWEEEAEHSGASHNILVEVQDDGPMKIKDEERDDMLTILLK
ATLLAVSGVYPLSIPATLFVWYFWQKKKQR
>C38
SWPLNEGIMAIGIVSILLSSLLKNDVPLAGPLIAGGMLIACYVISGSSAD
LSLEKAAEVSWEEEAEHSGTSHNILVEVQDDGTMKIKDEERDDTLTILLK
ATLLAVSGVYPMSIPATLFVWYFWQKKKQR
>C39
SWPLNEAIMAVGMVSILASSLLKDDIPMTGPLVAGGLLTVCYVLTGRSAD
LELERATDVKWEDQAEISGSSPILSITISEDGSMSIKNEEEEQTLTILIR
TGLLVISGLFPISIPITAAAWYLWEVKKQR
>C40
SWPLNEGVMAVGLVSILASSLLRNDVPMAGPLVAGGLLIACYVITGTSAD
LTVEKAADVTWEEEAEQTGVSHNLMITVDDDGTMRIKDDETENILTVLLK
TALLIVSGIFPYSIPATLLVWHTWQKRTQR
>C41
SWSLNEGVMAVGLVSILASSLLRNDVPMAGRLVAGGLLVGCYVITGTSSD
LTVEKAADVTCEEEAEQTGASHNLMITVDDDGTMRIKDDETENILTVLLK
TALLIVSGIFPYSIPATLLVWHTWQKQTQR
>C42
SWPLNEGIMAVGVVSILLSSLLKNDVPLAGPLIAGGMLIACYVISGSSAD
LSLEKAAEVSWEEEAEHSGASHNILVEVQDDGTMKIKDEERDDTLTILLK
ATLLAVSGVYPLSIPATLFVWYFWQKKKQR
>C43
SWPLNEAIMAVGMVSILASSLLKNDIPMTGPLVAGGLLTVCYVLTGRSAD
LELERAADVKWEDQAEVSGSSPILSITISEDGSMSIKNEEEEQTLTILIR
TGLLVISGVFPVSIPITAAAWYLWEVKKQR
>C44
SWPLNEGIMAVGIVSILLSALLKNDVPLAGPLIAGGMLIACYVISGSSAD
LSLEKAAEVSWEEEAEHSGGSHNILVEVQDDGTMKIKDEERDATLTILLK
ATLLAVSGVYPLSIPATLFVWYFWQKKKQR
>C45
SWPLNEAIMAVGMVSILASSLLKNDIPMTGPLVAGGLLTVCYVLTGRSAD
LELERAADVKWEDQAEISGSSPILSITISEDGSMSIKNEEEEQILTILIR
TGLLVISGLFPVSIPITAAAWCLWEVKKQR
>C46
SWPLNEGVMAVGLVSILASSLLRNDVPMAGPLVAGGLLIACYVITGTSAD
LAVEKAADVTWEEEAEQTGVSHNLMITVDDDGTMRIKDDETENILTVLLK
TALLIVSGIFPYSIPATLLVWHTWQKQTQR
>C47
IGPLNEAVMAVGMVSILASSLLKNDIPMTGPLVAGGLLTVCYVLTGRSAD
LELERAADVKWEDQAEISGSSPILSITISEDGSMSIKNEEEEQTLTILIR
TGLLVISGVFPVSIPITAAAWYLWEVKKQR
>C48
SWPLNEGVMAVGLVSILASSLLRNDVPMAGPLVAGGLLIACYVITGTSAD
LTVEKAANVTWEEEAEQTGVSHNLMITVDDDGTMRIKDDETENILTVLLK
TALLIVSGIFPYSIPATLLVWHTWQKQTQR
>C49
SWPLNEGIMAVGLVSLLGSALLKNDVPLAGPMVAGGLLLAAYVMSGSSAD
LSLEKAASVQWDEMADITGSSPIIEVKQDEDGSFSIRDVEETNMITLLVK
LALITVSGLYPLAIPVTMTLWYMWQVKTQR
>C50
SWPLNEGIMAIGIVSILLSSLLKNDVPLAGPLIAGGMLIACYVISGSSAD
LSLEKAAEVSWEQEAEHSGASHNILVEVQDDGTMKIKDEERDDTLTILLK
ATLLAVSGVYPMSIPATLFVWYFWQKKKQR
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 (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 (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 (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
-o
