| 1 | /* |
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| 2 | |
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| 3 | PhyML: a program that computes maximum likelihood phylogenies from |
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| 4 | DNA or AA homologous sequences. |
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| 5 | |
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| 6 | Copyright (C) Stephane Guindon. Oct 2003 onward. |
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| 7 | |
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| 8 | All parts of the source except where indicated are distributed under |
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| 9 | the GNU public licence. See http://www.opensource.org for details. |
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| 10 | |
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| 11 | */ |
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| 12 | |
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| 13 | |
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| 14 | #include "help.h" |
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| 15 | |
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| 16 | |
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| 17 | /* int T_MAX_FILE; */ |
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| 18 | /* phydbl SMALL; */ |
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| 19 | /* phydbl UNLIKELY; */ |
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| 20 | |
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| 21 | ////////////////////////////////////////////////////////////// |
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| 22 | ////////////////////////////////////////////////////////////// |
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| 23 | |
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| 24 | |
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| 25 | void Usage() |
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| 26 | { |
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| 27 | |
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| 28 | char *BOLD=(char *)mCalloc(10,sizeof(char)); |
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| 29 | char *FLAT=(char *)mCalloc(10,sizeof(char)); |
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| 30 | char *LINE=(char *)mCalloc(10,sizeof(char)); |
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| 31 | char *cha; |
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| 32 | |
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| 33 | |
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| 34 | cha =getenv("OS"); |
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| 35 | |
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| 36 | if(cha!=NULL) |
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| 37 | { |
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| 38 | strcpy(BOLD, ""); |
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| 39 | strcpy(FLAT, ""); |
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| 40 | strcpy(LINE, ""); |
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| 41 | } |
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| 42 | else |
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| 43 | { |
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| 44 | strcpy(BOLD, "\033[00;01m"); |
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| 45 | strcpy(FLAT, "\033[00;00m"); |
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| 46 | strcpy(LINE, "\033[00;04m"); |
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| 47 | } |
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| 48 | |
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| 49 | #ifdef PHYML |
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| 50 | PhyML_Printf("%sNAME\n" |
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| 51 | "%s\t- PhyML %s - \n\n" |
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| 52 | "%s\t\''A simple, fast, and accurate algorithm to estimate\n" |
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| 53 | "%s\tlarge phylogenies by maximum likelihood\''\n\n" |
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| 54 | "%s\tStephane Guindon and Olivier Gascuel,\n" |
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| 55 | "%s\tSystematic Biology 52(5):696-704, 2003.\n\n" |
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| 56 | "%s\tPlease cite this paper if you use this software in your publications.\n",BOLD,FLAT,VERSION,FLAT,FLAT,FLAT,FLAT,FLAT); |
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| 57 | #endif |
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| 58 | |
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| 59 | #ifdef PHYTIME |
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| 60 | PhyML_Printf("%sNAME\n" |
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| 61 | "%s\t- PhyTime %s - \n\n" |
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| 62 | "%s\t'Bayesian estimation of divergence times from large sequence alignments.'\n" |
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| 63 | "%s\tStephane Guindon,\n" |
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| 64 | "%s\tMolecular Biology and Evolution 27(8):1768-81, 2010.\n\n" |
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| 65 | "%s\tPlease cite this paper if you use this software in your publications.\n",BOLD,FLAT,VERSION,FLAT,FLAT,FLAT,FLAT,FLAT); |
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| 66 | #endif |
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| 67 | |
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| 68 | |
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| 69 | |
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| 70 | #ifdef PHYML |
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| 71 | PhyML_Printf("%s\nSYNOPSIS:\n\n" |
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| 72 | "%s\tphyml %s[command args]\n",BOLD,BOLD,BOLD); |
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| 73 | #endif |
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| 74 | #ifdef PHYTIME |
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| 75 | PhyML_Printf("%s\nSYNOPSIS:\n\n" |
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| 76 | "%s\tphytime %s[command args]\n",BOLD,BOLD,BOLD); |
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| 77 | #endif |
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| 78 | |
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| 79 | #ifdef PHYML |
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| 80 | PhyML_Printf("%s\n\tAll the options below are optional (except '%s-i%s' if you want to use the command-line interface).\n\n",FLAT,BOLD,FLAT); |
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| 81 | #endif |
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| 82 | |
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| 83 | #ifdef PHYTIME |
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| 84 | PhyML_Printf("%s\n\tAll the options below are optional except '%s-i%s','%s-u%s' and '%s--calibration%s'.\n\n",FLAT,BOLD,FLAT,BOLD,FLAT,BOLD,FLAT); |
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| 85 | #endif |
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| 86 | |
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| 87 | PhyML_Printf("%s\nCommand options:\n%s",BOLD,FLAT); |
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| 88 | |
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| 89 | PhyML_Printf("\n\t%s-i (or --input) %sseq_file_name%s\n",BOLD,LINE,FLAT); |
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| 90 | PhyML_Printf("\t\t%sseq_file_name%s is the name of the nucleotide or amino-acid sequence file in PHYLIP format.\n",LINE,FLAT); |
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| 91 | PhyML_Printf("\n"); |
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| 92 | |
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| 93 | PhyML_Printf("%s\n\t-d (or --datatype) ""%sdata_type%s\n",BOLD,LINE,FLAT); |
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| 94 | PhyML_Printf("\t\t%sdata_type%s is 'nt' for nucleotide (default), 'aa' for amino-acid sequences, or 'generic',\n",LINE,FLAT); |
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| 95 | PhyML_Printf("\t\t(use NEXUS file format and the 'symbols' parameter here).\n"); |
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| 96 | PhyML_Printf("\n"); |
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| 97 | |
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| 98 | |
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| 99 | PhyML_Printf("%s\n\t-q (or --sequential)\n",BOLD); |
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| 100 | PhyML_Printf("%s\t\tChanges interleaved format (default) to sequential format.\n",FLAT); |
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| 101 | PhyML_Printf("\n"); |
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| 102 | |
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| 103 | |
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| 104 | #ifndef PHYTIME |
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| 105 | PhyML_Printf("%s\n\t-n (or --multiple) ""%snb_data_sets%s\n",BOLD,LINE,FLAT); |
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| 106 | PhyML_Printf("\t\t%snb_data_sets%s is an integer corresponding to the number of data sets to analyse.\n",LINE,FLAT); |
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| 107 | PhyML_Printf("\n"); |
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| 108 | #endif |
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| 109 | |
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| 110 | |
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| 111 | #ifndef PHYTIME |
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| 112 | PhyML_Printf("%s\n\t-p (or --pars)%s\n",BOLD,FLAT); |
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| 113 | PhyML_Printf("%s\t\tUse a minimum parsimony starting tree. This option is taken into account when the '-u' option\n",FLAT); |
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| 114 | PhyML_Printf("%s\t\tis absent and when tree topology modifications are to be done.\n",FLAT); |
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| 115 | PhyML_Printf("\n"); |
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| 116 | #endif |
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| 117 | |
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| 118 | |
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| 119 | #ifndef PHYTIME |
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| 120 | PhyML_Printf("%s\n\t-b (or --bootstrap) %sint%s\n",BOLD,LINE,FLAT); |
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| 121 | PhyML_Printf("\t\t%sint%s > 0: %sint%s is the number of bootstrap replicates.\n",LINE,FLAT,LINE,FLAT); |
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| 122 | PhyML_Printf("\t\t%sint%s = 0: neither approximate likelihood ratio test nor bootstrap values are computed.\n",LINE,FLAT); |
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| 123 | PhyML_Printf("\t\t%sint%s = -1: approximate likelihood ratio test returning aLRT statistics.\n",LINE,FLAT); |
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| 124 | PhyML_Printf("\t\t%sint%s = -2: approximate likelihood ratio test returning Chi2-based parametric branch supports.\n",LINE,FLAT); |
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| 125 | /* PhyML_Printf("\t\t%sint%s = -3 : minimum of Chi2-based parametric and SH-like branch supports.\n",LINE,FLAT); */ |
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| 126 | PhyML_Printf("\t\t%sint%s = -4: SH-like branch supports alone.\n",LINE,FLAT); |
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| 127 | PhyML_Printf("\t\t%sint%s = -5: (default) approximate Bayes branch supports.\n",LINE,FLAT); |
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| 128 | PhyML_Printf("\n"); |
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| 129 | #endif |
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| 130 | |
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| 131 | |
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| 132 | PhyML_Printf("%s\n\t-m (or --model) %smodel%s\n",BOLD,LINE,FLAT); |
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| 133 | PhyML_Printf("\t\tmodel%s : substitution model name.\n",FLAT); |
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| 134 | PhyML_Printf("\t\t%s- %sNucleotide%s-based models : %sHKY85%s (default) | %sJC69%s | %sK80%s | %sF81%s | %sF84%s | %sTN93%s | %sGTR%s | %scustom (*)%s\n", |
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| 135 | FLAT,LINE,FLAT,LINE,FLAT,LINE,FLAT,LINE,FLAT,LINE,FLAT,LINE,FLAT,LINE,FLAT,LINE,FLAT,LINE,FLAT); |
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| 136 | PhyML_Printf("\t\t(*) : for the custom option, a string of six digits identifies the model. For instance, 000000\n"); |
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| 137 | PhyML_Printf("\t\t corresponds to F81 (or JC69 provided the distribution of nucleotide frequencies is uniform).\n"); |
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| 138 | PhyML_Printf("\t\t 012345 corresponds to GTR. This option can be used for encoding any model that is a nested within GTR.\n"); |
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| 139 | PhyML_Printf("\n"); |
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| 140 | PhyML_Printf("\t\t%s- %sAmino-acid%s based models : %sLG%s (default) | %sWAG%s | %sJTT%s | %sMtREV%s | %sDayhoff%s | %sDCMut%s | %sRtREV%s | %sCpREV%s | %sVT%s\n", |
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| 141 | FLAT,LINE,FLAT, |
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| 142 | LINE,FLAT, |
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| 143 | LINE,FLAT, |
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| 144 | LINE,FLAT, |
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| 145 | LINE,FLAT, |
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| 146 | LINE,FLAT, |
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| 147 | LINE,FLAT, |
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| 148 | LINE,FLAT, |
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| 149 | LINE,FLAT, |
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| 150 | LINE,FLAT); |
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| 151 | PhyML_Printf("\t\t %sBlosum62%s | %sMtMam%s | %sMtArt%s | %sHIVw%s | %sHIVb%s | %scustom%s\n", |
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| 152 | LINE,FLAT, |
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| 153 | LINE,FLAT, |
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| 154 | LINE,FLAT, |
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| 155 | LINE,FLAT, |
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| 156 | LINE,FLAT, |
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| 157 | LINE,FLAT); |
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| 158 | |
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| 159 | PhyML_Printf("\n"); |
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| 160 | |
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| 161 | PhyML_Printf("%s\n\t--aa_rate_file %sfilename%s\n",BOLD,LINE,FLAT); |
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| 162 | PhyML_Printf("\t\t%sfilename%s is the name of the file that provides the amino acid substitution rate matrix in PAML format.\n",LINE,FLAT); |
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| 163 | PhyML_Printf("\t\tIt is compulsory to use this option when analysing amino acid sequences with the `custom' model.\n"); |
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| 164 | PhyML_Printf("\n"); |
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| 165 | |
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| 166 | |
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| 167 | #ifndef PHYTIME |
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| 168 | PhyML_Printf("%s\n\t-f %se%s, %sm%s, or %sfA,fC,fG,fT%s\n",BOLD,LINE,BOLD,LINE,BOLD,LINE,FLAT); |
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| 169 | PhyML_Printf("\t\t%se%s : the character frequencies are determined as follows : \n",LINE,FLAT); |
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| 170 | PhyML_Printf("%s\t\t- %sNucleotide%s sequences: (Empirical) the equilibrium base frequencies are estimated by counting\n" |
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| 171 | "\t\t the occurence of the different bases in the alignment.\n",FLAT,LINE,FLAT); |
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| 172 | PhyML_Printf("%s\t\t- %sAmino-acid%s sequences: (Empirical) the equilibrium amino-acid frequencies are estimated by counting\n" |
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| 173 | "\t\t the occurence of the different amino-acids in the alignment.\n",FLAT,LINE,FLAT); |
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| 174 | PhyML_Printf("\n"); |
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| 175 | PhyML_Printf("\t\t%sm%s : the character frequencies are determined as follows : \n",LINE,FLAT); |
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| 176 | PhyML_Printf("%s\t\t- %sNucleotide%s sequences: (ML) the equilibrium base frequencies are estimated using maximum likelihood \n",FLAT,LINE,FLAT); |
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| 177 | PhyML_Printf("%s\t\t- %sAmino-acid%s sequences: (Model) the equilibrium amino-acid frequencies are estimated using\n" |
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| 178 | "\t\t the frequencies defined by the substitution model.\n",FLAT,LINE,FLAT); |
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| 179 | PhyML_Printf("\n"); |
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| 180 | PhyML_Printf("\t\t%s\"fA,fC,fG,fT\"%s : only valid for nucleotide-based models. fA, fC, fG and fT are floating numbers that \n",LINE,FLAT); |
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| 181 | PhyML_Printf("\t\t correspond to the frequencies of A, C, G and T respectively (WARNING: do not use any blank space between\n"); |
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| 182 | PhyML_Printf("\t\t your values of nucleotide frequencies, only commas!)\n"); |
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| 183 | PhyML_Printf("\n"); |
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| 184 | #endif |
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| 185 | |
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| 186 | #ifdef PHYTIME |
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| 187 | PhyML_Printf("%s\n\t--calibration %sfilename%s\n",BOLD,LINE,FLAT); |
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| 188 | PhyML_Printf("\t\t%sfilename%s is the name of the calibration file that provides a priori defined boundaries for node ages.\n",LINE,FLAT); |
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| 189 | PhyML_Printf("\t\tPlease read the manual for more information about the format of this file.\n"); |
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| 190 | PhyML_Printf("\n"); |
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| 191 | #endif |
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| 192 | |
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| 193 | |
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| 194 | |
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| 195 | |
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| 196 | PhyML_Printf("%s\n\t-t (or --ts/tv) %sts/tv_ratio%s\n",BOLD,LINE,FLAT); |
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| 197 | PhyML_Printf("\t\tts/tv_ratio%s : transition/transversion ratio. DNA sequences only.\n",FLAT); |
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| 198 | PhyML_Printf("\t\tCan be a fixed positive value (ex:4.0) or %se%s to get the maximum likelihood estimate.\n",LINE,FLAT); |
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| 199 | PhyML_Printf("\n"); |
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| 200 | |
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| 201 | PhyML_Printf("%s\n\t-v (or --pinv) %sprop_invar%s\n",BOLD,LINE,FLAT); |
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| 202 | PhyML_Printf("\t\tprop_invar%s : proportion of invariable sites.\n",FLAT); |
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| 203 | PhyML_Printf("\t\tCan be a fixed value in the [0,1] range or %se%s to get the maximum likelihood estimate.\n",LINE,FLAT); |
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| 204 | PhyML_Printf("\n"); |
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| 205 | |
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| 206 | PhyML_Printf("%s\n\t-c (or --nclasses) %snb_subst_cat%s\n",BOLD,LINE,FLAT); |
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| 207 | PhyML_Printf("\t\tnb_subst_cat%s : number of relative substitution rate categories. Default : %snb_subst_cat%s=4.\n", |
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| 208 | FLAT,LINE,FLAT); |
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| 209 | PhyML_Printf("\t\tMust be a positive integer.\n"); |
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| 210 | PhyML_Printf("\n"); |
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| 211 | |
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| 212 | PhyML_Printf("%s\n\t-a (or --alpha) %sgamma%s\n",BOLD,LINE,FLAT); |
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| 213 | PhyML_Printf("\t\tgamma%s : distribution of the gamma distribution shape parameter.\n",FLAT); |
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| 214 | PhyML_Printf("\t\tCan be a fixed positive value or %se%s to get the maximum likelihood estimate.\n",LINE,FLAT); |
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| 215 | PhyML_Printf("\n"); |
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| 216 | |
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| 217 | #ifndef PHYTIME |
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| 218 | PhyML_Printf("%s\n\t-s (or --search) %smove%s\n",BOLD,LINE,FLAT); |
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| 219 | PhyML_Printf("\t\tTree topology search operation option.\n"); |
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| 220 | PhyML_Printf("\t\tCan be either %sNNI%s (default, fast) or %sSPR%s (a bit slower than NNI) or %sBEST%s (best of NNI and SPR search).\n",LINE,FLAT,LINE,FLAT,LINE,FLAT); |
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| 221 | PhyML_Printf("\n"); |
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| 222 | #endif |
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| 223 | |
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| 224 | |
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| 225 | PhyML_Printf("%s\n\t-u (or --inputtree) %suser_tree_file%s\n",BOLD,LINE,FLAT); |
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| 226 | PhyML_Printf("\t\tuser_tree_file%s : starting tree filename. The tree must be in Newick format.\n",FLAT); |
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| 227 | PhyML_Printf("\n"); |
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| 228 | |
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| 229 | |
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| 230 | #ifndef PHYTIME |
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| 231 | PhyML_Printf("%s\n\t-o %sparams%s\n",BOLD,LINE,FLAT); |
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| 232 | PhyML_Printf("\t\tThis option focuses on specific parameter optimisation.\n"); |
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| 233 | PhyML_Printf("\t\t%sparams%s=tlr : tree topology (t), branch length (l) and rate parameters (r) are optimised.\n",LINE,FLAT); |
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| 234 | PhyML_Printf("\t\t%sparams%s=tl : tree topology and branch length are optimised.\n",LINE,FLAT); |
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| 235 | PhyML_Printf("\t\t%sparams%s=lr : branch length and rate parameters are optimised.\n",LINE,FLAT); |
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| 236 | PhyML_Printf("\t\t%sparams%s=l : branch length are optimised.\n",LINE,FLAT); |
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| 237 | PhyML_Printf("\t\t%sparams%s=r : rate parameters are optimised.\n",LINE,FLAT); |
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| 238 | PhyML_Printf("\t\t%sparams%s=n : no parameter is optimised.\n",LINE,FLAT); |
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| 239 | PhyML_Printf("\n"); |
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| 240 | #endif |
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| 241 | |
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| 242 | |
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| 243 | #ifndef PHYTIME |
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| 244 | PhyML_Printf("%s\n\t--rand_start%s\n",BOLD,FLAT); |
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| 245 | PhyML_Printf("\t\tThis option sets the initial tree to random.\n"); |
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| 246 | PhyML_Printf("\t\tIt is only valid if SPR searches are to be performed.\n"); |
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| 247 | PhyML_Printf("\n"); |
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| 248 | #endif |
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| 249 | |
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| 250 | #ifndef PHYTIME |
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| 251 | PhyML_Printf("%s\n\t--n_rand_starts %snum%s\n",BOLD,LINE,FLAT); |
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| 252 | PhyML_Printf("\t\tnum%s is the number of initial random trees to be used.\n",FLAT); |
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| 253 | PhyML_Printf("\t\tIt is only valid if SPR searches are to be performed.\n"); |
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| 254 | PhyML_Printf("\n"); |
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| 255 | #endif |
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| 256 | |
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| 257 | PhyML_Printf("%s\n\t--r_seed %snum%s\n",BOLD,LINE,FLAT); |
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| 258 | PhyML_Printf("\t\tnum%s is the seed used to initiate the random number generator.\n",FLAT); |
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| 259 | PhyML_Printf("\t\tMust be an integer.\n"); |
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| 260 | PhyML_Printf("\n"); |
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| 261 | |
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| 262 | #ifndef PHYTIME |
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| 263 | PhyML_Printf("%s\n\t--print_site_lnl%s\n",BOLD,FLAT); |
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| 264 | PhyML_Printf("\t\t%sPrint the likelihood for each site in file *_phyml_lk.txt.\n",FLAT); |
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| 265 | PhyML_Printf("\n"); |
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| 266 | #endif |
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| 267 | |
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| 268 | #ifndef PHYTIME |
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| 269 | PhyML_Printf("%s\n\t--print_trace%s\n",BOLD,FLAT); |
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| 270 | PhyML_Printf("\t\t%sPrint each phylogeny explored during the tree search process\n",FLAT); |
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| 271 | PhyML_Printf("\t\t%sin file *_phyml_trace.txt.\n",FLAT); |
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| 272 | PhyML_Printf("\n"); |
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| 273 | #endif |
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| 274 | |
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| 275 | |
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| 276 | PhyML_Printf("%s\n\t--run_id %sID_string%s\n",BOLD,LINE,FLAT); |
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| 277 | PhyML_Printf("\t\t%sAppend the string %sID_string%s at the end of each PhyML output file.\n",FLAT,LINE,FLAT); |
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| 278 | PhyML_Printf("\t\t%sThis option may be useful when running simulations involving PhyML.\n",FLAT); |
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| 279 | PhyML_Printf("\n"); |
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| 280 | |
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| 281 | PhyML_Printf("%s\n\t--quiet%s\n",BOLD,FLAT); |
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| 282 | PhyML_Printf("\t\t%sNo interactive question (for running in batch mode) and quiet output.\n",FLAT); |
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| 283 | PhyML_Printf("\n"); |
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| 284 | |
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| 285 | |
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| 286 | PhyML_Printf("%s\n\t--no_memory_check%s\n",BOLD,FLAT); |
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| 287 | PhyML_Printf("\t\t%sNo interactive question for memory usage (for running in batch mode). Normal ouput otherwise.\n",FLAT); |
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| 288 | PhyML_Printf("\n"); |
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| 289 | |
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| 290 | #ifndef PHYTIME |
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| 291 | PhyML_Printf("%s\n\t--alias_subpatt%s\n",BOLD,FLAT); |
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| 292 | PhyML_Printf("\t\t%sSite aliasing is generalized at the subtree level. Sometimes lead to faster calculations.\n",FLAT); |
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| 293 | PhyML_Printf("\t\t%sSee Kosakovsky Pond SL, Muse SV, Sytematic Biology (2004) for an example.\n",FLAT); |
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| 294 | PhyML_Printf("\n"); |
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| 295 | #endif |
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| 296 | |
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| 297 | #ifndef PHYTIME |
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| 298 | PhyML_Printf("%s\n\t--boot_progress_display %snum%s (default=20)\n",BOLD,LINE,FLAT); |
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| 299 | PhyML_Printf("\t\t%snum%s is the frequency at which the bootstrap progress bar will be updated.\n",LINE,FLAT); |
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| 300 | PhyML_Printf("\t\tMust be an integer.\n"); |
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| 301 | PhyML_Printf("\n"); |
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| 302 | #endif |
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| 303 | |
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| 304 | |
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| 305 | #ifdef PHYTIME |
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| 306 | PhyML_Printf("%s\n\t--chain_len %snum%s\n",BOLD,LINE,FLAT); |
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| 307 | PhyML_Printf("\t\t%snum%s is the number of generations or runs of the Markov Chain Monte Carlo. Set to 1E+6 by default. \n",LINE,FLAT); |
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| 308 | PhyML_Printf("\t\tMust be an integer.\n"); |
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| 309 | PhyML_Printf("\n"); |
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| 310 | #endif |
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| 311 | |
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| 312 | /* #ifdef PHYTIME */ |
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| 313 | /* PhyML_Printf("%s\n\t--burnin %snum%s\n",BOLD,LINE,FLAT); */ |
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| 314 | /* PhyML_Printf("\t\t%snum%s is the number of generations of runs of the Markov Chain Monte Carlo during the 'burnin' period.\n",LINE,FLAT); */ |
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| 315 | /* PhyML_Printf("\t\t%sSet to 1E+5 by default. Must be an integer. \n",FLAT); */ |
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| 316 | /* PhyML_Printf("\n"); */ |
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| 317 | /* #endif */ |
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| 318 | |
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| 319 | #ifdef PHYTIME |
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| 320 | PhyML_Printf("%s\n\t--sample_freq %snum%s\n",BOLD,LINE,FLAT); |
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| 321 | PhyML_Printf("\t\tThe chain is sampled every %snum%s generations. Set to 1E+3 by default. \n",LINE,FLAT); |
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| 322 | PhyML_Printf("\t\tMust be an integer.\n"); |
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| 323 | PhyML_Printf("\n"); |
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| 324 | #endif |
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| 325 | |
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| 326 | |
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| 327 | #ifdef PHYTIME |
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| 328 | PhyML_Printf("%s\n\t--no_sequences%s\n",BOLD,FLAT); |
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| 329 | PhyML_Printf("\t\tUse this option to run the sampler without sequence data.\n"); |
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| 330 | PhyML_Printf("\n"); |
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| 331 | #endif |
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| 332 | |
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| 333 | |
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| 334 | #ifdef PHYTIME |
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| 335 | PhyML_Printf("%s\n\t--fastlk%s\n",BOLD,FLAT); |
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| 336 | PhyML_Printf("\t\tUse the multivariate normal approximation to the likelihood and speed up calculations\n"); |
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| 337 | PhyML_Printf("\n"); |
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| 338 | #endif |
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| 339 | |
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| 340 | |
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| 341 | #ifdef PHYML |
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| 342 | PhyML_Printf("%sPHYLIP-LIKE INTERFACE\n""%s\n\tYou can also use PhyML with no argument, in this case change the value of\n",BOLD,FLAT); |
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| 343 | PhyML_Printf("%s\ta parameter by typing its corresponding character as shown on screen.\n\n",FLAT); |
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| 344 | #endif |
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| 345 | |
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| 346 | #ifdef PHYML |
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| 347 | PhyML_Printf("%sEXAMPLES\n\n" |
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| 348 | "%s\tDNA interleaved sequence file, default parameters : ""%s ./phyml -i seqs1" |
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| 349 | "%s\n\tAA interleaved sequence file, default parameters : ""%s ./phyml -i seqs2 -d aa" |
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| 350 | "%s\n\tAA sequential sequence file, with customization : ""%s ./phyml -i seqs3 -q -d aa -m JTT -c 4 -a e%s\n",BOLD,FLAT,BOLD,FLAT,BOLD,FLAT,BOLD,FLAT); |
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| 351 | #endif |
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| 352 | |
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| 353 | Exit(""); |
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| 354 | } |
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| 355 | |
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| 356 | ////////////////////////////////////////////////////////////// |
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| 357 | ////////////////////////////////////////////////////////////// |
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| 358 | |
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| 359 | |
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| 360 | |
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