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DQAEAEAD;D$lHD$H @(=h HD$DLL$PHL$HT$DH8$E7L|$Ht$P|$DMGA ۤHl$HMDqEE҅9Hl$P]IE1-AD9iD9A\$ILcHqKAuH,$l$D$ ,Dt EAuH,$l$D$ DD EAuH,$l$D$ AUAuH,$l$D$ AU\I}AUJI}JAU8I}AU&I}f AUI}AUAUI}AU9AUAUAUSAUaAUAU~~fAW2AVAUATUSHHXHG1LL$HLD$@Hc0<D$@L$HD$HL$$HHHT$0@D$HD$0t$9t$$HD$0HC DExD`EL IcHt$I|yHSLvIMLrLT$E.D;*AFLc:NILL)HEHD$(MFkHl$(EHA}HT$(IpHDeEHDMAH$E9Bx`EDUGt\ft-D^DaIpExAAB$x`DYDyHFDaAx`HAAQHDFDaA>x`HADAyHE9fDDVDaLADALy(E`x`ADQ~ DYnA@Ax`AxEgFAhHiH](5Ht$H|$x1[3H[]A\A]A^A_H](auHHMA.CD;eL L LCLA{yuHOHMY.[@D;e6HHL[LYDcDaH](H](uHHMI.KD;eL L LCLA{yuHHMQ.SD;eH;H9HsHqSQLd$Ll$L% Lt$L|$IH\$Hl$H8AI.HҬ I)IMt1HÐHLLDHI9uH\$Hl$Ld$Ll$ Lt$(L|$0H8ÐUHSdHHk HtDHHHuH[ÐH1H?@@??|=࿜ŋ!r??qq?e3E?C)H?xN#?h^_?[2?:p?$@@ffffff?-C6?MbP?@:0yE>@ꌠ9Y>)F@dg?48CJ?nlf?=UUUUU?Gz?@迮Gz?@ư>{Gz?>@x@xD-C6 ?UUUUUU???Y@@Uk"@}Ô%IT-C6*?h㈵>/usr2/people/mprice/Genomics/html/fasttree/FastTree.cNJ->child[NJ->root].nChild == 3onedimenmin lo %.4f guess %.4f hi %.4f range %.4f %.4f onedimenmin reaches optimum f(%.4f) = %.4f f2x %.4f Repointing parent %d to child %d Distance matrix not symmetric for %d,%d: %f vs %f Distance matrix entry %d,%d should be %f but eigen-representation gives %f Tree parse error: unexpected token '%s' -- %s ((((unsigned long) new) & 15L) == 0L)Error reading header line for %s: %s Header line %s in file %s does not have expected code %c # %d in %s Header line in %s should be tab-delimited Header line in %s ends prematurely Header line in %s has too many entries Cannot read line %d from file %s Cannot parse field %s in file %s Token too long in tree file, token begins with %s Constraint Penalties at %d: ABvsCD %.3f ACvsBD %.3f ADvsBC %.3f %d/%d %d/%d %d/%d %d/%d Total Constraint Penalties: ABvsCD %.3f ACvsBD %.3f ADvsBC %.3f iNode>=0 && (NJ->parent == ((void *)0) || NJ->parent[iNode]<0)NewOutDist for %d %f from dist %f selfd %f diam %f totdiam %f newActive %d OutDist for Node %d %f truth %f profiled %f truth %f pd_err %f NJ->nOutDistActive[join->i] >= nActiveNJ->nOutDistActive[join->j] >= nActiveSet Criterion to join %d %d with nActive=%d dist+penalty %.3f criterion %.3f iNode >= 0 && NJ->parent[iNode] < 0 && iNode != iInTopVisible replace %d=>%d with %d=>%d hit->j >= 0 && NJ->parent[hit->j] < 0Worsen constraint: from %.3f to %.3f distance %.3f to %.3f: NNI scores ABvsCD %.5f ACvsBD %.5f ADvsBC %.5f choice %s node>=0 && node < NJ->maxnodesnot recognized as a sequence nameiSeqNonunique >= 0 && iSeqNonunique < unique->nSeqiSeqUnique >= 0 && iSeqUnique < unique->nUniqueFound leaf uniq%d name %s child of %d Skipped redundant leaf uniq%d name %s Optimizing alpha, starting at loglk %.3f Optimize alpha round %d to %.3f lk %.3f Optimize mult round %d to %.3f lk %.3f Optimizing alpha & mult converged Gamma(%d) LogLk = %.3f alpha = %.3f rescaling lengths by %.3f Gamma%dLogLk %.3f Approximate Alpha %.3f Rescale %.3f out->codes[i] == 127 && fOut != ((void *)0)Updating out-profile position %d weight %f (mult %f) Updated out-profile position %d weight %f (mult %f)Sequence %s from constraints file is not in the alignment Warning: ignoring constraints for %s: %s Another sequence has the same sequence but different constraints first >= 0 && first < unique->nSeqalnToUniq[last] >= 0 && alnToUniq[last] < nUniqueSeqtop-hit search: nActive %d nVisible %d considering up to %d items Resetting the top-visible list at nActive=%d Expanding visible set by walking up to active nodes at nActive=%d newj >= 0 && newj < NJ->maxnodes && newj != iNode && NJ->parent[newj] < 0Top-visible list size %d (nActive %d m %d) iNodeBestCandidate >= 0 && NJ->parent[iNodeBestCandidate] < 0join->i >= 0 && NJ->parent[join->i] < 0join->j >= 0 && NJ->parent[join->j] < 0NJ->child[newnode].nChild == 2lChild[i]->hits != ((void *)0) && lChild[i]->nHits > 0Top hits for %d from combined %d nActive=%d tophitsage %d %s Top hits for %d from children and source %d's %d hits, nUnique %d Top hits for %d by refresh (%d unique age %d) nActive=%d New top-hit list for %d profile-ops %ld (out-ops %ld): source %d age %d members #Close neighbors among leaves: 1st-level %ld 2nd-level %ld seeds %ld Checking top hits for %6d of %6d seqsiFreqIn == profiles[in]->nVectorsAverage profiles: pos %d in-w1 %f in-w2 %f bionjWeight %f to weight %f code %d NJ->profiles[c->child[0]] != ((void *)0)NJ->profiles[c->child[1]] != ((void *)0)Too few leaves, turning off top-hits Constraint violation during neighbor-joining %d %d into %d penalty %.3f Constraint %d piece %d %d/%d %d/%d %d/%d NJ->nOutDistActive[join.i] == nActiveNJ->nOutDistActive[join.j] == nActivedVarO %f dVarDiam %f varIJ %f from dist %f weight %f (pos %d) bionjWeight %f %f deltaProfileVar actual %.6f estimated %.6f lambda actual %.3f estimated %.3f Join %d %d %.6f lambda %.6f selfw %.3f %.3f new %d Visible %d reset from %d to %d (%f vs. %f) Roundoff error in outprofile@end: WeightError %f FreqError %f strlen(constraintSeq) == nConstraintsConstraint characters in unique sequence %d replaced with gap:WARNING! ONLY %.1f%% NUCLEOTIDE CHARACTERS -- IS THIS REALLY A NUCLEOTIDE ALIGNMENT? WARNING! %.1f%% NUCLEOTIDE CHARACTERS -- IS THIS REALLY A PROTEIN ALIGNMENT? Ignored unknown character %c (seen %lu times) out-seqs[nSeq-1] == nKeep + nOldNo sequence data for last entry %s Empty header line followed by EOF No empty line between sequence blocks (is the sequence count wrong?) Wrong name in phylip line %s Expected %s Too many characters (expected %d) for sequence named %s So far have: %s Read iSeq %d name %s seqsofar %s Wrong number of sequences: expected %d Wrong number of characters for %s: expected %d but have %d instead. This sequence may be truncated, or another sequence may be too long. Warning! Found "." character(s). These are treated as gaps Added internal child %d of %d, stack size increase to %d not recognized as a branch lengthUp to nUp=%d stack size %d at %d Warning while parsing tree: non-numeric label %s for internal node Alignment sequence %d (unique %d) absent from input tree The starting tree (the argument to -intree) must include all sequences in the alignment! child >= 0 && child < maxnodesSimplfied node %d has parent %d nchild %d node == root || children[node].nChild > 1Map %d to %d (parent %d nchild %d) children[node].child[i] >= 0 && children[node].child[i] < maxnodesc->child[j] >= 0 && c->child[j] < NJ->maxnode && NJ->parent[c->child[j]] == iReplaced weight %f with %f from w1 %f w2 %f PSame %f %f f12code %f f12other %f rates != ((void *)0) && rates->nRateCategories > 0outnode != NJ->root && outnode >= NJ->nSeqComputing UpProfile for node %d with lenC %.4f lenD %.4f pair-loglk %.3f Compute upprofile of %d from %d and parents (vs. children %d %d) with weight %.3f upProfiles[outnode] != ((void *)0)Testing Split around %d: A=%d B=%d C=%d D=up(%d) or node parent %d Violate constraint %d at %d (children %d %d) penalties %.3f %.3f %.3f %d/%d %d/%d %d/%d %d/%d Violate constraints %d distance_advantage %.3f constraint_penalty %.3f (children %d %d):Local bootstrap for %6d of %6d internal splitsRecompute %d from %d %d lengths %.4f %.4f Recompute %d from %d %d weight %.3f step->nodes[i] >= 0 && step->nodes[i] < NJ->maxnodesNJ->parent[parents[1]] == parents[0]SPR chain step %d for %d around %d swap %d %d deltaLen %.5f newAround[0] == nodeAround || newAround[1] == nodeAroundSPR round %3d of %3d, %d of %d nodesSPR %s %d around %d chainLength %d of %d deltaLength %.5f swaps:Total branch-length is now %.4f was %.4f expected %.4f Optimize length for %d to %.3f Optimizing GTR model, step %d of %dGTR Frequencies: %.4f %.4f %.4f %.4f GTR rates(ac ag at cg ct gt) %.4f %.4f %.4f %.4f %.4f %.4f GTRRates %.4f %.4f %.4f %.4f %.4f %.4f At %d: LogLk(%d:%.4f,%d:%.4f) = %.3f At root %d: LogLk((%d/%d),%d:%.3f) = %.3f Site likelihoods with rate category %d of %dRate %.3f Loglk %.3f SiteLogLkgtr->iRate >= 0 && gtr->iRate < 6GTR LogLk(%.5f %.5f %.5f %.5f %.5f %.5f) = %f qo->pair1 != ((void *)0) && qo->pair2 != ((void *)0)site_likelihoods == ((void *)0)Optimize loglk from %.5f to %.5f eval %d lengths from %.5f %.5f %.5f %.5f %.5f to %.5f %.5f %.5f %.5f %.5f ML split tests for %6d of %6d internal splitsOptimized quartet for %d rounds: ABvsCD %.5f ACvsBD %.5f ADvsBC %.5f Beginning round %d of NNIs with ml? %d Skipping subtree at %d: child %d %d parent %d age %d subtreeAge %d support %.3f %s NNI round %%d of %%d, %%d of %%d splitsConsidering NNI around %d: Swap A=%d B=%d C=%d D=up(%d) or parent %d Starting quartet likelihood %.3f len %.3f %.3f %.3f %.3f %.3f NNI around %d: Swap A=%d B=%d C=%d D=out(C) -- choose %s %s %.4f N up profiles at end of NNI: %d Selected rate category %d rate %.3f for position %d Switched to using %d rate categories (CAT approximation) Rate categories were divided by %.3f so that average rate = 1.0 CAT-based log-likelihoods may not be comparable across runs Use -gamma for approximate but comparable Gamma(20) log-likelihoods Usage for FastTree version %s %s%s: %sWarning: logdist is now on by default and obsolete -n argument for #input alignments must be > 0 not %s Cannot use -close unless -top is set above 0 -close argument must be between 0 and 1 Cannot use -refresh unless -top is set above 0 -refresh argument must be between 0 and 1 Detailed usage for FastTree %s %s%s: %sIllegal argument to -pseudo: %s Illegal argument to -constraintWeight (must be greater than zero): %s -exactml is not required -- exact posteriors is the default now Illlegal argument to -ncat (must be greater than zero): %s Illegal or too small value of GTR rate: %s Illegal or too small value of GTR frequency: %s -gtrfreq values do not sum to 1 Unknown or incorrect use of option %s %sCannot be both slow and fastest %.2f*sqrtN close=%s refresh=%.2fFastTree Version %s %s%s Alignment: %s %s distances: %s Joins: %s Support: %s Search: %s%s %s %s %s TopHits: %s No rate variation across sites CAT approximation with %d rate categoriesGTR frequencies(A C G T) %.4f %.4f %.4f %.4f Pseudocount weight for comparing sequences with little overlap: %.3lf Cannot use both -matrix and -nomatrix arguments!Read %d sequences, %d positions Non-unique name '%s' in the alignment Warning: constraints file with less than 4 sequences ignored: alignment #%d in %s read %s seqs %d (%d unique) positions %d nameLast %s seqLast %s Initial topology in %.2f seconds Refining topology: %d rounds ME-NNIs, %d rounds ME-SPRs, %d rounds ML-NNIs Min_evolution NNIs converged at round %d -- skipping some rounds Total branch-length %.3f after %.2f sec %d rounds ML lengths: LogLk %s= %.3lf Max-change %.4lf%s Time %.2f TreeLogLk Length%d %.4lf MaxChange %.4lf ML-NNI round %d: LogLk %s= %.3f NNIs %d max delta %.2f Time %.2f%s TreeLogLk ML_NNI%d %.4lf MaxChange %.4lf Turning off heuristics for final round of ML NNIs%s Optimize all lengths: LogLk %s= %.3f Time %.2f Total time: %.2f seconds Unique: %d/%d Bad splits: %d/%dViolating constraints: %d both bad: %d Worst delta-%s due to constraints: %.3fDist/N**2: by-profile %.3f (out %.3f) by-leaf %.3f avg-prof %.3f Top hits: close neighbors %ld/%d 2nd-level %ld refreshes %ld Hill-climb: %ld Update-best: %ld NNI: %ld SPR: %ld ML-NNI: %ld Max-lk operations: lk %ld posterior %ld approximate-posteriors %.2f%%Near neighbor %d (rank %d weight %f ungapped %d %d) Distance limit for close neighbors %f weight %f ungapped %d Top hits for %6d of %6d seqs (at seed %6d) FastTree protein_alignment > tree FastTree -nt nucleotide_alignment > tree FastTree -nt -gtr < nucleotide_alignment > tree FastTree accepts alignments in fasta or phylip interleaved formats Common options (must be before the alignment file): -quiet to suppress reporting information -nopr to suppress progress indicator -log logfile -- save intermediate trees, settings, and model details -fastest -- speed up the neighbor joining phase & reduce memory usage (recommended for >50,000 sequences) -n to analyze multiple alignments (phylip format only) (use for global bootstrap, with seqboot and CompareToBootstrap.pl) -nosupport to not compute support values -intree newick_file to set the starting tree(s) -intree1 newick_file to use this starting tree for all the alignments (for faster global bootstrap on huge alignments) -pseudo to use pseudocounts (recommended for highly gapped sequences) -gtr -- generalized time-reversible model (nucleotide alignments only) -noml to turn off maximum-likelihood -nome to turn off minimum-evolution NNIs and SPRs (recommended if running additional ML NNIs with -intree) -nome -mllen with -intree to optimize branch lengths for a fixed topology -cat # to specify the number of rate categories of sites (default 20) or -nocat to use constant rates -gamma -- after optimizing the tree under the CAT approximation, rescale the lengths to optimize the Gamma20 likelihood -constraints constraintAlignment to constrain the topology search constraintAlignment should have 1s or 0s to indicates splits -expert -- see more options For more information, see http://www.microbesonline.org/fasttree/ FastTree [-nt] [-n 100] [-pseudo | -pseudo 1.0] [-boot 1000 | -nosupport] [-intree starting_trees_file | -intree1 starting_tree_file] [-quiet | -nopr] [-nni 10] [-spr 2] [-noml | -mllen | -mlnni 10] [-mlacc 2] [-cat 20 | -nocat] [-gamma] [-slow | -fastest] [-2nd | -no2nd] [-slownni] [-seed 1253] [-top | -notop] [-topm 1.0 [-close 0.75] [-refresh 0.8]] [-matrix Matrix | -nomatrix] [-nj | -bionj] [-nt] [-gtr] [-gtrrates ac ag at cg ct gt] [-gtrfreq fA fC fG fT] [ -constraints constraintAlignment [ -constraintWeight 100.0 ] ] [-log logfile] [ alignment_file ] > newick_tree or FastTree [-nt] [-matrix Matrix | -nomatrix] [-rawdist] -makematrix [alignment] [-n 100] > phylip_distance_matrix FastTree supports fasta or phylip interleaved alignments By default FastTree expects protein alignments, use -nt for nucleotides FastTree reads standard input if no alignment file is given Use -n if you want to read multiple alignments in. This only works with phylip interleaved format. For example, you can use it with the output from phylip's seqboot. If you use -n, FastTree will write 1 tree per line to standard output. You might also want to use -quiet to eliminate status messages to standard error. If you use -n together with -intree starting_tree_file, then FastTree will also read that many trees from the file (Use -intree1 if you want to use the same starting tree each time) Note -- any branch lengths in the starting trees are ignored Use -log logfile to save intermediate trees -- you can extract the trees and restart long-running jobs if they crash -log also reports the per-site rates (1 means slowest category) Distances: Default: For protein sequences, log-corrected distances and an amino acid dissimilarity matrix derived from BLOSUM45 or for nucleotide sequences, Jukes-Cantor distances To specify a different matrix, use -matrix FilePrefix or -nomatrix Use -rawdist to turn the log-correction off or to use %different instead of Jukes-Cantor -pseudo [weight] -- Use pseudocounts to estimate distances between sequences with little or no overlap. (Off by default.) Recommended if analyzing the alignment has sequences with little or no overlap. If the weight is not specified, it is 1.0 Topology refinement: By default, FastTree tries to improve the tree with up to 4*log2(N) rounds of minimum-evolution nearest-neighbor interchanges (NNI), where N is the number of unique sequences, 2 rounds of subtree-prune-regraft (SPR) moves (also min. evo.), and up to 2*log(N) rounds of maximum-likelihood NNIs. Use -nni to set the number of rounds of min. evo. NNIs, and -spr to set the rounds of SPRs. Use -noml to turn off both min-evo NNIs and SPRs (useful if refining an approximately maximum-likelihood tree with further NNIs) Use -sprlength set the maximum length of a SPR move (default 10) Use -mlnni to set the number of rounds of maximum-likelihood NNIs Use -mlacc 2 or -mlacc 3 to always optimize all 5 branches at each NNI, and to optimize all 5 branches in 2 or 3 rounds Use -mllen to optimize branch lengths without ML NNIs Use -mllen -nome with -intree to optimize branch lengths on a fixed topology Use -slownni to turn off heuristics to avoid constant subtrees (affects both ML and ME NNIs) Maximum likelihood model options: -gtr -- generalized time-reversible instead of (default) Jukes-Cantor (nt only) -cat # -- specify the number of rate categories of sites (default 20) -nocat -- no CAT model (just 1 category) -gamma -- after the final round of optimizing branch lengths with the CAT model, report the likelihood under the discrete gamma model with the same number of categories. FastTree uses the same branch lengths but optimizes the gamma shape parameter and the scale of the lengths. The final tree will have rescaled lengths. Used with -log, this also generates per-site likelihoods for use with CONSEL, see GammaLogToPaup.pl and documentation on the FastTree web site. Support value options: By default, FastTree computes local support values by resampling the site likelihoods 1,000 times and the Shimodaira Hasegawa test. If you specify -nome, it will compute minimum-evolution bootstrap supports instead In either case, the support values are proportions ranging from 0 to 1 Use -nosupport to turn off support values or -boot 100 to use just 100 resamples Use -seed to initialize the random number generator Searching for the best join: By default, FastTree combines the 'visible set' of fast neighbor-joining with local hill-climbing as in relaxed neighbor-joining -slow -- exhaustive search (like NJ or BIONJ, but different gap handling) -slow takes half an hour instead of 8 seconds for 1,250 proteins -fastest -- search the visible set (the top hit for each node) only Unlike the original fast neighbor-joining, -fastest updates visible(C) after joining A and B if join(AB,C) is better than join(C,visible(C)) -fastest also updates out-distances in a very lazy way, -fastest sets -2nd on as well, use -fastest -no2nd to avoid this Top-hit heuristics: By default, FastTree uses a top-hit list to speed up search Use -notop (or -slow) to turn this feature off and compare all leaves to each other, and all new joined nodes to each other -topm 1.0 -- set the top-hit list size to parameter*sqrt(N) FastTree estimates the top m hits of a leaf from the top 2*m hits of a 'close' neighbor, where close is defined as d(seed,close) < 0.75 * d(seed, hit of rank 2*m), and updates the top-hits as joins proceed -close 0.75 -- modify the close heuristic, lower is more conservative -refresh 0.8 -- compare a joined node to all other nodes if its top-hit list is less than 80% of the desired length, or if the age of the top-hit list is log2(m) or greater -2nd or -no2nd to turn 2nd-level top hits heuristic on or off This reduces memory usage and running time but may lead to marginal reductions in tree quality. (By default, -fastest turns on -2nd.) Join options: -nj: regular (unweighted) neighbor-joining (default) -bionj: weighted joins as in BIONJ FastTree will also weight joins during NNIs Constrained topology search options: -constraints alignmentfile -- an alignment with values of 0, 1, and - Not all sequences need be present. A column of 0s and 1s defines a constrained split. Some constraints may be violated (see 'violating constraints:' in standard error). -constraintWeight -- how strongly to weight the constraints. A value of 1 means a penalty of 1 in tree length for violating a constraint Default: 100.0 For more information, see http://www.microbesonline.org/fasttree/ or the comments in the source code node >= 0iNode < NJ->nSeqNJ->parent[node] == NJ->rootnSibs==2parent >= 0child >= 0parents[child] < 0children[parent].nChild < 3Removing node %d parent %d parents[node] >= 0oldn < pc->nChildnc->nChild<=2pc->nChild < 3pc->nChild + nc->nChild <= 3Made codeFreq (End of file)Out of memory , OpenMP (%d threads)Cannot read %s Cannot read %d entry of %s Error reading %s NCategories %d Ratesrates->nRateCategories > 0 %f SiteCategoriesfOut != ((void *)0)codeIn != 127%7i.%2.2i seconds: iFreq1 == profile1->nVectorsiFreq2 == profile2->nVectorsiter < 30iNode >= 0NJ->parent[iNode] < 0tophits != ((void *)0)Updated TopVisible: %d=>%d:%.4fNJ->parent[hit->i] < 0NewVisible %d %d %f NJ->parent[node] < 0SetBestHit %d %d %f %f join->i >= 0 && join->j >= 0BetterI %d %d %d %d %f %f BetterJ %d %d %d %d %f %f l->nHits > 0l->hits != ((void *)0)bestjoin->j >= 0bestjoin->i == iNodedistances != ((void *)0)profiles != ((void *)0)nProfiles>1 && nProfiles <= 4 %d (%d/%d %d/%d %d/%d %d/%d)AB|CDAC|BDAD|BCaln != ((void *)0)FreeUpProfiles -- freed %d Optimizing alpha round %dGamma%d Site LogLk r=%.3fGamma%d %d %.3fFilename %s too long Read distance matrix from %s iFreq==profile->nVectorsnActiveOld > 0 %c:%fiFreqOut == out->nVectorsiFreq1 == old1->nVectorsiFreq2 == old2->nVectorsiFreqNew == new->nVectors(%s:0.0iName < unique->nSeq,%s:0.0); )%.3f:%.5f):%.5f)%dtranst[j][i] > 0transmat->stat[j] > 0tot > 0nCodes==4rate > 0total_rate > 1e-6nRateCategories >= 0hash->buckets[hi].nCount == 0hash->buckets[hi].first >= 0last>=0nUniqueSeq>0nIn > 0nOut > 0besthits[iBest].i == iNodenSave > 0iSave == nSavenVisible < nActivenVisible > 0Reset TopVisible: %d=>%dbSuccessbestI.i == join->ibestJ.i == join->jnUnique < nCombinedlNew->hits == ((void *)0)2ndlevel1stlevellSource->nHits > 0iMerge == nMergenUnique > 0nSave>0Combined %d ops so far %ld lNew->hits != ((void *)0)2 * tophits->m <= NJ->maxnode2 * tophits->m <= NJ->nSeql->hits[0].j >= 0l->hits[0].j < NJ->nSeql->hits[0].j != iNodenCheck <= lTarget->nHitsiWorst >= 0Replaced %ld top hit entries m > 0nBootstrap>0iFreqA == pA->nVectorsiFreqB == pB->nVectorsiFreqC == pC->nVectorsiFreqD == pD->nVectorsnBootstrap > 0Average %d profiles %c:%fc->nChild == 2NJ->nSeq >= 1NJ->nSeq == 2Top-hit-list size = %d of %d !(slow && m>0)Joined %6d of %6dnSaved < nActive-1nSaved==nActive-1Recomputing outprofile %d %d Visible %d %d %f %f iOldVisible>=0visible[iNode].i == iNodenTop <= 2nTop==3strlen(seq) == nPospos %d char %c code %d %c%dMade sequence profiles Made out-profile Node %d outdist %f Boot%d %dEmpty myrealloc Error reading header line (),: %d%dError parsing header line:%s No name in phylip line %sNo sequence in phylip line %sError reading input file NJ->nSeq == unique->nUniqueNo '(' at startwhile reading parenthesesnew < maxnodesstack_size < maxnodesunbalanced parenthesesunexpected '(' after ')'too many ')'unexpected tokenChanged root from %d to %d Added %d to stack NJ->parent[NJ->root] < 0nCodes == 4fPostTot > 1e-10lkAB > 0NJ->child[node].nChild == 2nodeABCD[2] >= 0upProfiles != ((void *)0)NJ->child[node].nChild==2node != NJ->rootparents[i] >= 0parents[0] != parents[1]newAround[0] != newAround[1]nodeListLen == NJ->maxnodemoveabandoned (%d,%d)%.4fRewinding SPR to %d NJ->child[parent].nChild==2ML Lengths %d of %d splitsnChild == 2 || nChild == 3GTRFreq %.4f %.4f %.4f %.4f nChild >= 2node == NJ->rootNJ->rates.nRateCategories > 0gtr->NJ != ((void *)0)x > 0qo != ((void *)0)loglk < 1e100PairLogLk(%.4f) = %.4f Going up back to node %d MLME, %d changes (max delta %.3f)delta-loglk-deltaLenOld tree lk -- %.4f New tree lk -- %.4f SSE32.1.3-makematrix-logdist-rawdist-verbose-quiet-nopr-slow-fastest-2nd-no2nd-slownni-matrix-nomatrix-n-nt-intree-intree1-nj-bionj-boot-noboot-nosupport-seed-top-notop-topm-close-refresh-nni-spr-sprlength-mlnni-noml-mllen-nome-helpFastTree %s %s%s: %s-expert-pseudo-constraints-constraintWeight-mlaccIlllegal -mlacc argument: %s -exactml-mlexact-approxml-mlapprox-cat-nocat-gtr-gtrrates-gtrfreq-log-gammaCannot write to: %s Command:%.2fSH-like %dLocal boot %d+NNI (%d rounds)+SPR (%d rounds range %d)+ML-NNI (%d rounds) opt-each=%dstandard input (%d alignments)weightedbalancedBLOSUM45Jukes-Cantor%differentAmino acidNucleotide+2ndExhaustive (slow)FastestNormalStart at tree from %s %s %s Jones-Taylor-ThortonGeneralized Time-ReversibleML Model: %s,Constraints: %s Weight: %.3f nCodes==20No alignment sequences Read alignmentHashed the names %d Identified unique sequencesRead the constraintsRead tree from %s NJME_NNI%dME_SPR%dME_LengthsML_Lengths (converged)~ML_Lengths%dML_NNI%d (final)TreeLogLk ML_Lengths%d %.4f unconstrained Worst %sdelta-%s %.3f star-only %ldTreeCompleted closeNode2 >= 0Trying seed %d Skipping seed %d nUnique2 > 0nNewHits > 0nHitsOld <= tophits->miNode>=0ARNDCQEGHILKMFPSTWYVACGTnodefaultnone(no NNI)(no SPR)(no ML-NNI)-C6?@Uk"@9B.?MbP?-C6?-C6 ?tqliCreateTransitionMatrixCreateGTRDeleteUpProfileGetUpProfileTraversePostorderUniquifyAlnMakeHashtablemyreallocmymallocTransferBestHitsSortSaveBestHitsNGapsTopHitNJSearchResetTopVisibleUpdateTopVisibleUpdateVisibleTopHitJoinUniqueBestHitsGetBestFromTopHitsSetAllLeafTopHitsInitTopHitsSetOutDistanceSetCriterionSHSupportSplitSupportRootSiblingsSiblingSetupABCDReplaceChildRecomputeProfileSPRUpdateForNNIUnwindSPRStepFindSPRStepsOptimizeAllBranchLengthsSetMLRatesMLSiteLikelihoodsByRateGTRNegLogLkSetMLGtrTreeLogLkMLQuartetOptimizePairNegLogLkPairLogLkPosteriorProfileSetBestHitSetCodeDistUpdateOutProfileOutProfileAverageProfileSetProfileAddToFreqProfileDistCorrectedPairDistancesSeqToProfileAlnToConstraintsFreeAlignmentSeqsReadAlignmentPrintNJReadTreeReadTreeRemoveReadTreeMaybeAddLeafReadTreeAddChildFastNJSearchExhaustiveNJSearchFastNJAllocRateCategoriesLogMLRatesmain;,l4\L|d|\l, |$<Tl<, ,D|\|Ll D ,\  l  4 L ld |   < l , $ \ |  L |  , +D 0\ l1| l4 ; 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