muscle-package: Multiple Sequence Alignment
In muscle: Multiple Sequence Alignment with MUSCLE
Description
Details
Author(s)
References
See Also
Examples
Description
MUSCLE performs multiple sequence alignments of nucleotide and amino acid sequences.
Details
Details about the algorithm can be found on the MUSCLE website:
http://www.drive5.com/muscle/
Author(s)
Algorithm: Robert C. Edgar
R port: Alex T. Kalinka alex.t.kalinka@gmail.com
References
Edgar, R.C. (2004) MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res 32, 1792-1797.
See Also
Examples
1
2
3
4
5
Example output
Loading required package: Biostrings
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, sd, var, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, cbind, colMeans, colSums, colnames, do.call,
duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
lapply, lengths, mapply, match, mget, order, paste, pmax, pmax.int,
pmin, pmin.int, rank, rbind, rowMeans, rowSums, rownames, sapply,
setdiff, sort, table, tapply, union, unique, unsplit, which,
which.max, which.min
Loading required package: S4Vectors
Loading required package: stats4
Attaching package: 'S4Vectors'
The following object is masked from 'package:base':
expand.grid
Loading required package: IRanges
Loading required package: XVector
Attaching package: 'Biostrings'
The following object is masked from 'package:base':
strsplit
*** WARNING *** *Warning* Cannot open /proc/meminfo errno=13 Permission denied
MUSCLE v3.8.31 by Robert C. Edgar
http://www.drive5.com/muscle
This software is donated to the public domain.
Please cite: Edgar, R.C. Nucleic Acids Res 32(5), 1792-97.
file708a46eefa78 31 seqs, max length 489, avg length 471
00:00:00 Iter 1 0.20% K-mer dist pass 1
00:00:00 Iter 1 100.00% K-mer dist pass 1
00:00:00 Iter 1 0.20% K-mer dist pass 2
00:00:00 Iter 1 100.00% K-mer dist pass 2
00:00:00 Iter 1 3.33% Align node
00:00:00 Iter 1 6.67% Align node
00:00:00 Iter 1 10.00% Align node
00:00:00 Iter 1 13.33% Align node
00:00:00 Iter 1 16.67% Align node
00:00:00 Iter 1 20.00% Align node
00:00:00 Iter 1 23.33% Align node
00:00:00 Iter 1 26.67% Align node
00:00:00 Iter 1 30.00% Align node
00:00:00 Iter 1 33.33% Align node
00:00:00 Iter 1 36.67% Align node
00:00:00 Iter 1 40.00% Align node
00:00:00 Iter 1 43.33% Align node
00:00:00 Iter 1 46.67% Align node
00:00:00 Iter 1 50.00% Align node
00:00:00 Iter 1 53.33% Align node
00:00:00 Iter 1 56.67% Align node
00:00:00 Iter 1 60.00% Align node
00:00:00 Iter 1 63.33% Align node
00:00:00 Iter 1 66.67% Align node
00:00:00 Iter 1 70.00% Align node
00:00:00 Iter 1 73.33% Align node
00:00:00 Iter 1 76.67% Align node
00:00:00 Iter 1 80.00% Align node
00:00:00 Iter 1 83.33% Align node
00:00:00 Iter 1 86.67% Align node
00:00:00 Iter 1 90.00% Align node
00:00:00 Iter 1 93.33% Align node
00:00:00 Iter 1 96.67% Align node
00:00:00 Iter 1 100.00% Align node
00:00:00 Iter 1 100.00% Align node
00:00:00 Iter 1 3.23% Root alignment
00:00:00 Iter 1 6.45% Root alignment
00:00:00 Iter 1 9.68% Root alignment
00:00:00 Iter 1 12.90% Root alignment
00:00:00 Iter 1 16.13% Root alignment
00:00:00 Iter 1 19.35% Root alignment
00:00:00 Iter 1 22.58% Root alignment
00:00:00 Iter 1 25.81% Root alignment
00:00:00 Iter 1 29.03% Root alignment
00:00:00 Iter 1 32.26% Root alignment
00:00:00 Iter 1 35.48% Root alignment
00:00:00 Iter 1 38.71% Root alignment
00:00:00 Iter 1 41.94% Root alignment
00:00:00 Iter 1 45.16% Root alignment
00:00:00 Iter 1 48.39% Root alignment
00:00:00 Iter 1 51.61% Root alignment
00:00:00 Iter 1 54.84% Root alignment
00:00:00 Iter 1 58.06% Root alignment
00:00:00 Iter 1 61.29% Root alignment
00:00:00 Iter 1 64.52% Root alignment
00:00:00 Iter 1 67.74% Root alignment
00:00:00 Iter 1 70.97% Root alignment
00:00:00 Iter 1 74.19% Root alignment
00:00:00 Iter 1 77.42% Root alignment
00:00:00 Iter 1 80.65% Root alignment
00:00:00 Iter 1 83.87% Root alignment
00:00:00 Iter 1 87.10% Root alignment
00:00:00 Iter 1 90.32% Root alignment
00:00:00 Iter 1 93.55% Root alignment
00:00:00 Iter 1 96.77% Root alignment
00:00:00 Iter 1 100.00% Root alignment
00:00:00 Iter 1 100.00% Root alignment
00:00:00 Iter 2 3.45% Refine tree
00:00:00 Iter 2 6.90% Refine tree
00:00:00 Iter 2 10.34% Refine tree
00:00:00 Iter 2 13.79% Refine tree
00:00:00 Iter 2 17.24% Refine tree
00:00:00 Iter 2 20.69% Refine tree
00:00:00 Iter 2 24.14% Refine tree
00:00:00 Iter 2 27.59% Refine tree
00:00:00 Iter 2 31.03% Refine tree
00:00:00 Iter 2 34.48% Refine tree
00:00:00 Iter 2 37.93% Refine tree
00:00:00 Iter 2 41.38% Refine tree
00:00:00 Iter 2 44.83% Refine tree
00:00:00 Iter 2 48.28% Refine tree
00:00:00 Iter 2 51.72% Refine tree
00:00:00 Iter 2 55.17% Refine tree
00:00:00 Iter 2 58.62% Refine tree
00:00:00 Iter 2 62.07% Refine tree
00:00:00 Iter 2 65.52% Refine tree
00:00:00 Iter 2 68.97% Refine tree
00:00:00 Iter 2 72.41% Refine tree
00:00:00 Iter 2 75.86% Refine tree
00:00:00 Iter 2 79.31% Refine tree
00:00:00 Iter 2 82.76% Refine tree
00:00:00 Iter 2 86.21% Refine tree
00:00:00 Iter 2 89.66% Refine tree
00:00:00 Iter 2 100.00% Refine tree
00:00:00 Iter 2 3.23% Root alignment
00:00:00 Iter 2 6.45% Root alignment
00:00:00 Iter 2 9.68% Root alignment
00:00:00 Iter 2 12.90% Root alignment
00:00:00 Iter 2 16.13% Root alignment
00:00:00 Iter 2 19.35% Root alignment
00:00:00 Iter 2 22.58% Root alignment
00:00:00 Iter 2 25.81% Root alignment
00:00:00 Iter 2 29.03% Root alignment
00:00:00 Iter 2 32.26% Root alignment
00:00:00 Iter 2 35.48% Root alignment
00:00:00 Iter 2 38.71% Root alignment
00:00:00 Iter 2 41.94% Root alignment
00:00:00 Iter 2 45.16% Root alignment
00:00:00 Iter 2 48.39% Root alignment
00:00:00 Iter 2 51.61% Root alignment
00:00:00 Iter 2 54.84% Root alignment
00:00:00 Iter 2 58.06% Root alignment
00:00:00 Iter 2 61.29% Root alignment
00:00:00 Iter 2 64.52% Root alignment
00:00:00 Iter 2 67.74% Root alignment
00:00:00 Iter 2 70.97% Root alignment
00:00:00 Iter 2 74.19% Root alignment
00:00:00 Iter 2 77.42% Root alignment
00:00:00 Iter 2 80.65% Root alignment
00:00:00 Iter 2 83.87% Root alignment
00:00:00 Iter 2 87.10% Root alignment
00:00:00 Iter 2 90.32% Root alignment
00:00:00 Iter 2 93.55% Root alignment
00:00:00 Iter 2 96.77% Root alignment
00:00:00 Iter 2 100.00% Root alignment
00:00:00 Iter 2 100.00% Root alignment
00:00:00 Iter 2 100.00% Root alignment
00:00:00 Iter 3 3.39% Refine biparts
00:00:00 Iter 3 5.08% Refine biparts
00:00:00 Iter 3 6.78% Refine biparts
00:00:00 Iter 3 8.47% Refine biparts
00:00:00 Iter 3 10.17% Refine biparts
00:00:00 Iter 3 11.86% Refine biparts
00:00:00 Iter 3 13.56% Refine biparts
00:00:00 Iter 3 15.25% Refine biparts
00:00:00 Iter 3 16.95% Refine biparts
00:00:00 Iter 3 18.64% Refine biparts
00:00:00 Iter 3 20.34% Refine biparts
00:00:00 Iter 3 22.03% Refine biparts
00:00:00 Iter 3 23.73% Refine biparts
00:00:00 Iter 3 25.42% Refine biparts
00:00:00 Iter 3 27.12% Refine biparts
00:00:00 Iter 3 28.81% Refine biparts
00:00:00 Iter 3 30.51% Refine biparts
00:00:00 Iter 3 32.20% Refine biparts
00:00:00 Iter 3 33.90% Refine biparts
00:00:00 Iter 3 35.59% Refine biparts
00:00:00 Iter 3 37.29% Refine biparts
00:00:00 Iter 3 38.98% Refine biparts
00:00:00 Iter 3 40.68% Refine biparts
00:00:00 Iter 3 42.37% Refine biparts
00:00:00 Iter 3 44.07% Refine biparts
00:00:00 Iter 3 45.76% Refine biparts
00:00:00 Iter 3 47.46% Refine biparts
00:00:00 Iter 3 49.15% Refine biparts
00:00:00 Iter 3 50.85% Refine biparts
00:00:00 Iter 3 52.54% Refine biparts
00:00:00 Iter 3 54.24% Refine biparts
00:00:00 Iter 3 55.93% Refine biparts
00:00:00 Iter 3 57.63% Refine biparts
00:00:00 Iter 3 59.32% Refine biparts
00:00:00 Iter 3 61.02% Refine biparts
00:00:00 Iter 3 62.71% Refine biparts
00:00:00 Iter 3 64.41% Refine biparts
00:00:00 Iter 3 66.10% Refine biparts
00:00:00 Iter 3 67.80% Refine biparts
00:00:00 Iter 3 69.49% Refine biparts
00:00:00 Iter 3 71.19% Refine biparts
00:00:00 Iter 3 72.88% Refine biparts
00:00:00 Iter 3 74.58% Refine biparts
00:00:00 Iter 3 76.27% Refine biparts
00:00:01 Iter 3 77.97% Refine biparts
00:00:01 Iter 3 79.66% Refine biparts
00:00:01 Iter 3 81.36% Refine biparts
00:00:01 Iter 3 83.05% Refine biparts
00:00:01 Iter 3 84.75% Refine biparts
00:00:01 Iter 3 86.44% Refine biparts
00:00:01 Iter 3 88.14% Refine biparts
00:00:01 Iter 3 89.83% Refine biparts
00:00:01 Iter 3 91.53% Refine biparts
00:00:01 Iter 3 93.22% Refine biparts
00:00:01 Iter 3 94.92% Refine biparts
00:00:01 Iter 3 96.61% Refine biparts
00:00:01 Iter 3 98.31% Refine biparts
00:00:01 Iter 3 100.00% Refine biparts
00:00:01 Iter 3 101.69% Refine biparts
00:00:01 Iter 3 100.00% Refine biparts
00:00:01 Iter 4 3.39% Refine biparts
00:00:01 Iter 4 5.08% Refine biparts
00:00:01 Iter 4 6.78% Refine biparts
00:00:01 Iter 4 8.47% Refine biparts
00:00:01 Iter 4 10.17% Refine biparts
00:00:01 Iter 4 11.86% Refine biparts
00:00:01 Iter 4 13.56% Refine biparts
00:00:01 Iter 4 15.25% Refine biparts
00:00:01 Iter 4 16.95% Refine biparts
00:00:01 Iter 4 18.64% Refine biparts
00:00:01 Iter 4 20.34% Refine biparts
00:00:01 Iter 4 22.03% Refine biparts
00:00:01 Iter 4 23.73% Refine biparts
00:00:01 Iter 4 25.42% Refine biparts
00:00:01 Iter 4 27.12% Refine biparts
00:00:01 Iter 4 28.81% Refine biparts
00:00:01 Iter 4 30.51% Refine biparts
00:00:01 Iter 4 32.20% Refine biparts
00:00:01 Iter 4 33.90% Refine biparts
00:00:01 Iter 4 35.59% Refine biparts
00:00:01 Iter 4 37.29% Refine biparts
00:00:01 Iter 4 38.98% Refine biparts
00:00:01 Iter 4 40.68% Refine biparts
00:00:01 Iter 4 42.37% Refine biparts
00:00:01 Iter 4 44.07% Refine biparts
00:00:01 Iter 4 45.76% Refine biparts
00:00:01 Iter 4 47.46% Refine biparts
00:00:01 Iter 4 49.15% Refine biparts
00:00:01 Iter 4 50.85% Refine biparts
00:00:01 Iter 4 52.54% Refine biparts
00:00:01 Iter 4 54.24% Refine biparts
00:00:01 Iter 4 55.93% Refine biparts
00:00:01 Iter 4 57.63% Refine biparts
00:00:01 Iter 4 59.32% Refine biparts
00:00:01 Iter 4 61.02% Refine biparts
00:00:01 Iter 4 62.71% Refine biparts
00:00:01 Iter 4 64.41% Refine biparts
00:00:01 Iter 4 66.10% Refine biparts
00:00:01 Iter 4 67.80% Refine biparts
00:00:01 Iter 4 69.49% Refine biparts
00:00:01 Iter 4 71.19% Refine biparts
00:00:01 Iter 4 72.88% Refine biparts
00:00:01 Iter 4 74.58% Refine biparts
00:00:01 Iter 4 76.27% Refine biparts
00:00:01 Iter 4 77.97% Refine biparts
00:00:01 Iter 4 79.66% Refine biparts
00:00:01 Iter 4 81.36% Refine biparts
00:00:01 Iter 4 83.05% Refine biparts
00:00:01 Iter 4 84.75% Refine biparts
00:00:01 Iter 4 86.44% Refine biparts
00:00:01 Iter 4 88.14% Refine biparts
00:00:01 Iter 4 89.83% Refine biparts
00:00:01 Iter 4 91.53% Refine biparts
00:00:01 Iter 4 93.22% Refine biparts
00:00:01 Iter 4 94.92% Refine biparts
00:00:01 Iter 4 96.61% Refine biparts
00:00:01 Iter 4 98.31% Refine biparts
00:00:01 Iter 4 100.00% Refine biparts
00:00:01 Iter 4 101.69% Refine biparts
00:00:01 Iter 4 100.00% Refine biparts
muscle documentation built on Nov. 8, 2020, 8:12 p.m.
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Description Details Author(s) References See Also Examples
Description
MUSCLE performs multiple sequence alignments of nucleotide and amino acid sequences.
Details
Details about the algorithm can be found on the MUSCLE website:
http://www.drive5.com/muscle/
Author(s)
Algorithm: Robert C. Edgar
R port: Alex T. Kalinka alex.t.kalinka@gmail.com
References
Edgar, R.C. (2004) MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res 32, 1792-1797.
See Also
Examples
1 2 3 4 5 |
Example output
Loading required package: Biostrings
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, sd, var, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, cbind, colMeans, colSums, colnames, do.call,
duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
lapply, lengths, mapply, match, mget, order, paste, pmax, pmax.int,
pmin, pmin.int, rank, rbind, rowMeans, rowSums, rownames, sapply,
setdiff, sort, table, tapply, union, unique, unsplit, which,
which.max, which.min
Loading required package: S4Vectors
Loading required package: stats4
Attaching package: 'S4Vectors'
The following object is masked from 'package:base':
expand.grid
Loading required package: IRanges
Loading required package: XVector
Attaching package: 'Biostrings'
The following object is masked from 'package:base':
strsplit
*** WARNING *** *Warning* Cannot open /proc/meminfo errno=13 Permission denied
MUSCLE v3.8.31 by Robert C. Edgar
http://www.drive5.com/muscle
This software is donated to the public domain.
Please cite: Edgar, R.C. Nucleic Acids Res 32(5), 1792-97.
file708a46eefa78 31 seqs, max length 489, avg length 471
00:00:00 Iter 1 0.20% K-mer dist pass 1
00:00:00 Iter 1 100.00% K-mer dist pass 1
00:00:00 Iter 1 0.20% K-mer dist pass 2
00:00:00 Iter 1 100.00% K-mer dist pass 2
00:00:00 Iter 1 3.33% Align node
00:00:00 Iter 1 6.67% Align node
00:00:00 Iter 1 10.00% Align node
00:00:00 Iter 1 13.33% Align node
00:00:00 Iter 1 16.67% Align node
00:00:00 Iter 1 20.00% Align node
00:00:00 Iter 1 23.33% Align node
00:00:00 Iter 1 26.67% Align node
00:00:00 Iter 1 30.00% Align node
00:00:00 Iter 1 33.33% Align node
00:00:00 Iter 1 36.67% Align node
00:00:00 Iter 1 40.00% Align node
00:00:00 Iter 1 43.33% Align node
00:00:00 Iter 1 46.67% Align node
00:00:00 Iter 1 50.00% Align node
00:00:00 Iter 1 53.33% Align node
00:00:00 Iter 1 56.67% Align node
00:00:00 Iter 1 60.00% Align node
00:00:00 Iter 1 63.33% Align node
00:00:00 Iter 1 66.67% Align node
00:00:00 Iter 1 70.00% Align node
00:00:00 Iter 1 73.33% Align node
00:00:00 Iter 1 76.67% Align node
00:00:00 Iter 1 80.00% Align node
00:00:00 Iter 1 83.33% Align node
00:00:00 Iter 1 86.67% Align node
00:00:00 Iter 1 90.00% Align node
00:00:00 Iter 1 93.33% Align node
00:00:00 Iter 1 96.67% Align node
00:00:00 Iter 1 100.00% Align node
00:00:00 Iter 1 100.00% Align node
00:00:00 Iter 1 3.23% Root alignment
00:00:00 Iter 1 6.45% Root alignment
00:00:00 Iter 1 9.68% Root alignment
00:00:00 Iter 1 12.90% Root alignment
00:00:00 Iter 1 16.13% Root alignment
00:00:00 Iter 1 19.35% Root alignment
00:00:00 Iter 1 22.58% Root alignment
00:00:00 Iter 1 25.81% Root alignment
00:00:00 Iter 1 29.03% Root alignment
00:00:00 Iter 1 32.26% Root alignment
00:00:00 Iter 1 35.48% Root alignment
00:00:00 Iter 1 38.71% Root alignment
00:00:00 Iter 1 41.94% Root alignment
00:00:00 Iter 1 45.16% Root alignment
00:00:00 Iter 1 48.39% Root alignment
00:00:00 Iter 1 51.61% Root alignment
00:00:00 Iter 1 54.84% Root alignment
00:00:00 Iter 1 58.06% Root alignment
00:00:00 Iter 1 61.29% Root alignment
00:00:00 Iter 1 64.52% Root alignment
00:00:00 Iter 1 67.74% Root alignment
00:00:00 Iter 1 70.97% Root alignment
00:00:00 Iter 1 74.19% Root alignment
00:00:00 Iter 1 77.42% Root alignment
00:00:00 Iter 1 80.65% Root alignment
00:00:00 Iter 1 83.87% Root alignment
00:00:00 Iter 1 87.10% Root alignment
00:00:00 Iter 1 90.32% Root alignment
00:00:00 Iter 1 93.55% Root alignment
00:00:00 Iter 1 96.77% Root alignment
00:00:00 Iter 1 100.00% Root alignment
00:00:00 Iter 1 100.00% Root alignment
00:00:00 Iter 2 3.45% Refine tree
00:00:00 Iter 2 6.90% Refine tree
00:00:00 Iter 2 10.34% Refine tree
00:00:00 Iter 2 13.79% Refine tree
00:00:00 Iter 2 17.24% Refine tree
00:00:00 Iter 2 20.69% Refine tree
00:00:00 Iter 2 24.14% Refine tree
00:00:00 Iter 2 27.59% Refine tree
00:00:00 Iter 2 31.03% Refine tree
00:00:00 Iter 2 34.48% Refine tree
00:00:00 Iter 2 37.93% Refine tree
00:00:00 Iter 2 41.38% Refine tree
00:00:00 Iter 2 44.83% Refine tree
00:00:00 Iter 2 48.28% Refine tree
00:00:00 Iter 2 51.72% Refine tree
00:00:00 Iter 2 55.17% Refine tree
00:00:00 Iter 2 58.62% Refine tree
00:00:00 Iter 2 62.07% Refine tree
00:00:00 Iter 2 65.52% Refine tree
00:00:00 Iter 2 68.97% Refine tree
00:00:00 Iter 2 72.41% Refine tree
00:00:00 Iter 2 75.86% Refine tree
00:00:00 Iter 2 79.31% Refine tree
00:00:00 Iter 2 82.76% Refine tree
00:00:00 Iter 2 86.21% Refine tree
00:00:00 Iter 2 89.66% Refine tree
00:00:00 Iter 2 100.00% Refine tree
00:00:00 Iter 2 3.23% Root alignment
00:00:00 Iter 2 6.45% Root alignment
00:00:00 Iter 2 9.68% Root alignment
00:00:00 Iter 2 12.90% Root alignment
00:00:00 Iter 2 16.13% Root alignment
00:00:00 Iter 2 19.35% Root alignment
00:00:00 Iter 2 22.58% Root alignment
00:00:00 Iter 2 25.81% Root alignment
00:00:00 Iter 2 29.03% Root alignment
00:00:00 Iter 2 32.26% Root alignment
00:00:00 Iter 2 35.48% Root alignment
00:00:00 Iter 2 38.71% Root alignment
00:00:00 Iter 2 41.94% Root alignment
00:00:00 Iter 2 45.16% Root alignment
00:00:00 Iter 2 48.39% Root alignment
00:00:00 Iter 2 51.61% Root alignment
00:00:00 Iter 2 54.84% Root alignment
00:00:00 Iter 2 58.06% Root alignment
00:00:00 Iter 2 61.29% Root alignment
00:00:00 Iter 2 64.52% Root alignment
00:00:00 Iter 2 67.74% Root alignment
00:00:00 Iter 2 70.97% Root alignment
00:00:00 Iter 2 74.19% Root alignment
00:00:00 Iter 2 77.42% Root alignment
00:00:00 Iter 2 80.65% Root alignment
00:00:00 Iter 2 83.87% Root alignment
00:00:00 Iter 2 87.10% Root alignment
00:00:00 Iter 2 90.32% Root alignment
00:00:00 Iter 2 93.55% Root alignment
00:00:00 Iter 2 96.77% Root alignment
00:00:00 Iter 2 100.00% Root alignment
00:00:00 Iter 2 100.00% Root alignment
00:00:00 Iter 2 100.00% Root alignment
00:00:00 Iter 3 3.39% Refine biparts
00:00:00 Iter 3 5.08% Refine biparts
00:00:00 Iter 3 6.78% Refine biparts
00:00:00 Iter 3 8.47% Refine biparts
00:00:00 Iter 3 10.17% Refine biparts
00:00:00 Iter 3 11.86% Refine biparts
00:00:00 Iter 3 13.56% Refine biparts
00:00:00 Iter 3 15.25% Refine biparts
00:00:00 Iter 3 16.95% Refine biparts
00:00:00 Iter 3 18.64% Refine biparts
00:00:00 Iter 3 20.34% Refine biparts
00:00:00 Iter 3 22.03% Refine biparts
00:00:00 Iter 3 23.73% Refine biparts
00:00:00 Iter 3 25.42% Refine biparts
00:00:00 Iter 3 27.12% Refine biparts
00:00:00 Iter 3 28.81% Refine biparts
00:00:00 Iter 3 30.51% Refine biparts
00:00:00 Iter 3 32.20% Refine biparts
00:00:00 Iter 3 33.90% Refine biparts
00:00:00 Iter 3 35.59% Refine biparts
00:00:00 Iter 3 37.29% Refine biparts
00:00:00 Iter 3 38.98% Refine biparts
00:00:00 Iter 3 40.68% Refine biparts
00:00:00 Iter 3 42.37% Refine biparts
00:00:00 Iter 3 44.07% Refine biparts
00:00:00 Iter 3 45.76% Refine biparts
00:00:00 Iter 3 47.46% Refine biparts
00:00:00 Iter 3 49.15% Refine biparts
00:00:00 Iter 3 50.85% Refine biparts
00:00:00 Iter 3 52.54% Refine biparts
00:00:00 Iter 3 54.24% Refine biparts
00:00:00 Iter 3 55.93% Refine biparts
00:00:00 Iter 3 57.63% Refine biparts
00:00:00 Iter 3 59.32% Refine biparts
00:00:00 Iter 3 61.02% Refine biparts
00:00:00 Iter 3 62.71% Refine biparts
00:00:00 Iter 3 64.41% Refine biparts
00:00:00 Iter 3 66.10% Refine biparts
00:00:00 Iter 3 67.80% Refine biparts
00:00:00 Iter 3 69.49% Refine biparts
00:00:00 Iter 3 71.19% Refine biparts
00:00:00 Iter 3 72.88% Refine biparts
00:00:00 Iter 3 74.58% Refine biparts
00:00:00 Iter 3 76.27% Refine biparts
00:00:01 Iter 3 77.97% Refine biparts
00:00:01 Iter 3 79.66% Refine biparts
00:00:01 Iter 3 81.36% Refine biparts
00:00:01 Iter 3 83.05% Refine biparts
00:00:01 Iter 3 84.75% Refine biparts
00:00:01 Iter 3 86.44% Refine biparts
00:00:01 Iter 3 88.14% Refine biparts
00:00:01 Iter 3 89.83% Refine biparts
00:00:01 Iter 3 91.53% Refine biparts
00:00:01 Iter 3 93.22% Refine biparts
00:00:01 Iter 3 94.92% Refine biparts
00:00:01 Iter 3 96.61% Refine biparts
00:00:01 Iter 3 98.31% Refine biparts
00:00:01 Iter 3 100.00% Refine biparts
00:00:01 Iter 3 101.69% Refine biparts
00:00:01 Iter 3 100.00% Refine biparts
00:00:01 Iter 4 3.39% Refine biparts
00:00:01 Iter 4 5.08% Refine biparts
00:00:01 Iter 4 6.78% Refine biparts
00:00:01 Iter 4 8.47% Refine biparts
00:00:01 Iter 4 10.17% Refine biparts
00:00:01 Iter 4 11.86% Refine biparts
00:00:01 Iter 4 13.56% Refine biparts
00:00:01 Iter 4 15.25% Refine biparts
00:00:01 Iter 4 16.95% Refine biparts
00:00:01 Iter 4 18.64% Refine biparts
00:00:01 Iter 4 20.34% Refine biparts
00:00:01 Iter 4 22.03% Refine biparts
00:00:01 Iter 4 23.73% Refine biparts
00:00:01 Iter 4 25.42% Refine biparts
00:00:01 Iter 4 27.12% Refine biparts
00:00:01 Iter 4 28.81% Refine biparts
00:00:01 Iter 4 30.51% Refine biparts
00:00:01 Iter 4 32.20% Refine biparts
00:00:01 Iter 4 33.90% Refine biparts
00:00:01 Iter 4 35.59% Refine biparts
00:00:01 Iter 4 37.29% Refine biparts
00:00:01 Iter 4 38.98% Refine biparts
00:00:01 Iter 4 40.68% Refine biparts
00:00:01 Iter 4 42.37% Refine biparts
00:00:01 Iter 4 44.07% Refine biparts
00:00:01 Iter 4 45.76% Refine biparts
00:00:01 Iter 4 47.46% Refine biparts
00:00:01 Iter 4 49.15% Refine biparts
00:00:01 Iter 4 50.85% Refine biparts
00:00:01 Iter 4 52.54% Refine biparts
00:00:01 Iter 4 54.24% Refine biparts
00:00:01 Iter 4 55.93% Refine biparts
00:00:01 Iter 4 57.63% Refine biparts
00:00:01 Iter 4 59.32% Refine biparts
00:00:01 Iter 4 61.02% Refine biparts
00:00:01 Iter 4 62.71% Refine biparts
00:00:01 Iter 4 64.41% Refine biparts
00:00:01 Iter 4 66.10% Refine biparts
00:00:01 Iter 4 67.80% Refine biparts
00:00:01 Iter 4 69.49% Refine biparts
00:00:01 Iter 4 71.19% Refine biparts
00:00:01 Iter 4 72.88% Refine biparts
00:00:01 Iter 4 74.58% Refine biparts
00:00:01 Iter 4 76.27% Refine biparts
00:00:01 Iter 4 77.97% Refine biparts
00:00:01 Iter 4 79.66% Refine biparts
00:00:01 Iter 4 81.36% Refine biparts
00:00:01 Iter 4 83.05% Refine biparts
00:00:01 Iter 4 84.75% Refine biparts
00:00:01 Iter 4 86.44% Refine biparts
00:00:01 Iter 4 88.14% Refine biparts
00:00:01 Iter 4 89.83% Refine biparts
00:00:01 Iter 4 91.53% Refine biparts
00:00:01 Iter 4 93.22% Refine biparts
00:00:01 Iter 4 94.92% Refine biparts
00:00:01 Iter 4 96.61% Refine biparts
00:00:01 Iter 4 98.31% Refine biparts
00:00:01 Iter 4 100.00% Refine biparts
00:00:01 Iter 4 101.69% Refine biparts
00:00:01 Iter 4 100.00% Refine biparts
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