Overview

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Basic processing of the raw data were performed by the University of Illinois at Chicago Research Informatics Core (UICRIC).

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File Description Type
metagenomic_assembly.zip ZIP compressed FASTA file of all contigs in the assembly result
contig_counts.txt Raw read counts for assembled contigs result
orf_counts.txt Raw read counts for predicted ORFs result
contig_data.txt Details and normalized read counts (RPKM) of the contigs result
annotation_results.zip ZIP file of annotation results as and GFF format with FASTA files of nucleotide and amino acid sequences for each ORF result
bins_data.txt Details the metagenomic bins result

Sample list
SampleID OriginalID
SRR22405441 SRR22405441
SRR22405442 SRR22405442
SRR22405445 SRR22405445
SRR22405453 SRR22405453
SRR22405460 SRR22405460
SRR22405461 SRR22405461
SRR22405467 SRR22405467
SRR22405532 SRR22405532
SRR22405538 SRR22405538
SRR22405544 SRR22405544

Method: cutadaptMartin, M. (2011). Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet.journal, 17(1):10-12. doi:https://doi.org/10.14806/ej.17.1.200 (version: 4.4)

Sequencing trimming using cutadapt

Custom Parameters
  • --report = minimal
  • -m = 70
  • --trim-n
  • --max-n = 1
  • -b = file:/mmfs1/projects/rrc_shared/common/references/adapters/illumina_adapters.fa
Method: Quality trimming

Quality trimming based on quality threshold and length parameters.

Custom Parameters
  • min length = 70
Method: Adapter trimming

Adapter/primer sequences were trimmed from the reads.

Custom Parameters
  • adapter = AGATCGGAAGAGCACACGTCTGAACTCCAGTCA
  • adapter = AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGT
  • adapter = TGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
  • adapter = ACACTCTTTCCCTACACGACGCTCTTCCGATCT
Method: Abiguous nucleotide trimming

Ambiguous nucleotides (N) were trimmed from the ends and reads with internal ambiguous nucleotides were discarded.

Custom Parameters
  • max-n = 1

Figure 1 . Trimming results

Table 1 . Trimming statistics

Table 1 . Trimming statistics
Sample Trim passed Ambig dropped Trim filter dropped Trim length dropped Percent passed Mean Length Mean Trimmed Length Quality trimmed bp
SRR22405441 998916 1084 0 0 99.89% 302.0 301.6 0
SRR22405442 999093 907 0 0 99.91% 302.0 301.6 0
SRR22405445 999098 902 0 0 99.91% 302.0 301.6 0
SRR22405453 999209 791 0 0 99.92% 302.0 301.6 0
SRR22405460 999065 935 0 0 99.91% 302.0 301.6 0
SRR22405461 999104 896 0 0 99.91% 302.0 301.6 0
SRR22405467 999137 863 0 0 99.91% 302.0 301.6 0
SRR22405532 999248 752 0 0 99.92% 302.0 301.6 0
SRR22405538 999247 753 0 0 99.92% 302.0 301.6 0
SRR22405544 999069 931 0 0 99.91% 302.0 301.6 0

  • Denovo genome assembly using short read sequence data

Method: Ultra-fast and memory-efficient (meta-)genome assemblerLi, D., Liu, C-M., Luo, R., Sadakane, K., and Lam, T-W., (2015) MEGAHIT: An ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph. Bioinformatics, https://doi.org/10.1093/bioinformatics/btv033Li, D., Luo, R., Liu, C.M., Leung, C.M., Ting, H.F., Sadakane, K., Yamashita, H. and Lam, T.W., 2016. MEGAHIT v1.0: A Fast and Scalable Metagenome Assembler driven by Advanced Methodologies and Community Practices. Methods.

MEGAHIT is an ultra-fast and memory-efficient NGS assembler. It is optimized for metagenomes, but also works well on generic single genome assembly (small or mammalian size) and single-cell assembly.

Figure 1 . Coverage plot

Table 1 . Assembly summaries by stage

Table 1 . Assembly summaries by stage
Stage Count TotalLength Longest N50 N75 N90 L50 L75 L90
Raw assembly 98666 132837414 349967 4542 774 422 3263 24903 60861
Entropy filtered 17766 93385215 349967 17138 3595 1595 829 4162 10234
Alignment filtered 17766 93385215 349967 17138 3595 1595 829 4162 10234

Table 2 . Basic contig statistics, all contigs

Table 2 . Basic contig statistics, all contigs
#ID length GC coverage S_2mer S_3mer S_4mer
k141_75822 349967 48.068 71.95 0.995 0.992 0.988
k141_7818 343210 43.778 14.91 0.991 0.987 0.984
k141_65279 342700 47.468 52.48 0.995 0.992 0.988
k141_41565 334399 46.144 42.69 0.995 0.992 0.988
k141_3867 328629 56.630 43.93 0.984 0.976 0.970
k141_13128 299237 42.963 103.05 0.989 0.986 0.983
k141_72305 298100 46.238 47.34 0.994 0.991 0.987
k141_24307 297381 42.899 23.71 0.989 0.985 0.982
k141_56177 294754 53.046 25.54 0.995 0.991 0.988
k141_81420 290324 43.567 15.99 0.992 0.988 0.985
k141_66580 284177 59.188 15.93 0.980 0.976 0.971
k141_56178 260876 51.135 89.62 0.996 0.993 0.990
k141_74110 260643 47.584 52.42 0.996 0.992 0.989
k141_66389 254313 51.474 85.44 0.996 0.993 0.989
k141_77114 250564 60.446 19.13 0.977 0.972 0.968
k141_21980 248942 44.240 18.86 0.991 0.986 0.982
k141_38462 247234 49.724 82.74 0.996 0.993 0.990
k141_42929 244785 45.550 45.19 0.993 0.990 0.986
k141_80054 237758 59.367 18.46 0.980 0.976 0.971
k141_30530 231031 43.386 20.93 0.990 0.986 0.983
k141_45430 216979 42.710 95.56 0.987 0.984 0.981
k141_85430 215400 45.105 48.75 0.991 0.988 0.984
k141_49166 214267 51.571 24.87 0.995 0.991 0.987
k141_55802 212293 42.071 14.21 0.988 0.985 0.982
k141_58139 210510 48.182 62.25 0.996 0.992 0.989
k141_2039 206891 52.658 24.65 0.994 0.990 0.986
k141_14040 206497 56.094 42.22 0.985 0.976 0.970
k141_35295 201433 47.380 53.60 0.996 0.992 0.989
k141_8865 197632 42.358 15.04 0.988 0.985 0.982
k141_54005 194219 45.700 23.26 0.994 0.989 0.985
k141_80724 187223 52.728 25.19 0.995 0.990 0.987
k141_38676 184883 47.834 44.12 0.996 0.993 0.989
k141_49734 183655 59.868 19.28 0.979 0.974 0.970
k141_26699 181034 55.255 36.48 0.987 0.979 0.973
k141_33031 177537 59.104 18.44 0.980 0.975 0.970
k141_35969 176101 52.275 24.66 0.994 0.990 0.986
k141_93485 175932 45.173 13.76 0.995 0.991 0.987
k141_95780 174227 44.188 16.41 0.991 0.987 0.983
k141_65291 171919 52.663 64.32 0.996 0.993 0.989
k141_38052 171507 42.840 89.48 0.989 0.986 0.983
k141_85251 171455 44.813 107.51 0.992 0.989 0.986
k141_27531 170632 55.983 15.11 0.991 0.986 0.982
k141_24405 170476 52.318 24.93 0.996 0.992 0.989
k141_35980 169718 56.888 15.50 0.989 0.985 0.980
k141_42760 165793 43.850 24.56 0.990 0.985 0.982
k141_84438 165051 54.177 14.76 0.994 0.991 0.987
k141_48279 164153 44.343 20.37 0.991 0.986 0.983
k141_77993 163397 43.819 15.28 0.991 0.987 0.984
k141_38100 160559 44.400 17.30 0.991 0.985 0.981
k141_11690 158681 42.615 17.22 0.988 0.984 0.981
k141_79744 158391 55.843 15.79 0.988 0.984 0.980
k141_21234 157936 51.005 20.85 0.994 0.991 0.987
k141_33131 156971 59.596 14.16 0.979 0.974 0.970
k141_92115 155923 43.156 23.90 0.989 0.985 0.981
k141_24049 154384 46.888 51.19 0.995 0.992 0.988
k141_4050 153662 43.432 90.19 0.990 0.987 0.984
k141_82180 153142 42.690 15.93 0.989 0.984 0.981
k141_32358 152608 42.628 116.29 0.989 0.986 0.983
k141_82053 151527 43.632 15.37 0.990 0.987 0.983
k141_44762 151251 45.147 15.60 0.993 0.989 0.985
k141_50527 150925 44.891 19.94 0.993 0.989 0.985
k141_9369 150564 44.080 20.52 0.990 0.986 0.982
k141_98113 149946 59.731 15.46 0.979 0.974 0.969
k141_13659 149705 42.163 102.80 0.988 0.985 0.981
k141_42254 149580 47.624 11.11 0.996 0.993 0.990
k141_27950 145511 43.580 107.58 0.990 0.987 0.983
k141_70956 142594 51.029 82.99 0.995 0.992 0.988
k141_88769 142375 41.815 106.17 0.987 0.984 0.981
k141_99667 142287 43.939 98.40 0.991 0.988 0.984
k141_48340 141763 42.184 105.32 0.987 0.984 0.980
k141_55455 136465 56.687 39.02 0.985 0.976 0.970
k141_21203 135421 59.063 17.53 0.979 0.974 0.970
k141_93129 135091 56.597 17.36 0.987 0.982 0.979
k141_27822 133070 49.678 75.77 0.995 0.992 0.988
k141_77686 132617 45.896 22.78 0.993 0.990 0.987
k141_89167 132166 43.645 105.77 0.989 0.986 0.982
k141_24949 132128 42.288 23.54 0.987 0.983 0.979
k141_52490 130310 40.701 93.17 0.984 0.981 0.978
k141_58603 130099 43.392 22.81 0.990 0.986 0.982
k141_70314 128308 41.069 21.22 0.984 0.980 0.977
k141_82257 128221 50.585 18.60 0.993 0.989 0.985
k141_60604 125307 50.084 28.02 0.996 0.992 0.989
k141_26775 123846 43.918 17.95 0.992 0.988 0.985
k141_93028 123773 51.598 20.19 0.992 0.988 0.984
k141_52515 122240 58.581 15.27 0.981 0.977 0.972
k141_54295 122187 49.666 17.58 0.992 0.988 0.984
k141_16758 122120 50.239 19.00 0.994 0.990 0.986
k141_9848 121245 49.061 87.37 0.997 0.994 0.990
k141_82218 121088 47.904 50.61 0.996 0.993 0.989
k141_65953 119854 56.956 15.03 0.987 0.984 0.979
k141_41930 119730 44.259 19.59 0.993 0.989 0.986
k141_59116 119376 41.513 21.65 0.985 0.982 0.978
k141_63278 119182 46.954 21.94 0.995 0.992 0.989
k141_52511 116680 49.949 17.94 0.995 0.992 0.989
k141_2547 115178 42.488 18.40 0.988 0.985 0.981
k141_23512 113096 52.944 86.43 0.995 0.992 0.987
k141_44732 112899 50.967 82.12 0.995 0.992 0.987
k141_17176 111928 42.784 19.75 0.988 0.983 0.980
k141_83735 111178 57.975 13.67 0.985 0.981 0.977
k141_50228 110986 58.216 13.63 0.983 0.978 0.974
k141_46654 110719 42.642 23.86 0.989 0.985 0.982
k141_55639 109773 47.991 22.59 0.995 0.991 0.988
k141_84607 108052 47.107 50.54 0.995 0.991 0.987
k141_50314 106536 43.321 114.54 0.990 0.986 0.983
k141_28565 106320 51.861 24.36 0.996 0.992 0.989
k141_16990 105585 53.258 25.91 0.996 0.992 0.988
k141_56562 105582 42.678 93.92 0.988 0.985 0.982
k141_82777 105003 53.173 25.54 0.995 0.991 0.987
k141_14803 104860 49.119 80.06 0.997 0.994 0.990
k141_24777 104179 48.006 49.05 0.996 0.992 0.987
k141_95482 104038 51.698 87.94 0.997 0.994 0.990
k141_52899 103194 43.400 22.77 0.991 0.987 0.985
k141_90312 103058 42.712 21.30 0.988 0.983 0.980
k141_15446 102470 49.339 77.08 0.996 0.993 0.989
k141_94730 102259 44.355 12.85 0.993 0.989 0.985
k141_66691 101156 41.785 98.57 0.987 0.984 0.981
k141_72022 100834 46.324 47.84 0.993 0.989 0.985
k141_47076 100722 44.054 20.46 0.991 0.986 0.983
k141_62869 100069 42.456 110.44 0.987 0.984 0.981
k141_55507 98611 41.167 19.03 0.986 0.982 0.979
k141_40791 98181 49.633 22.70 0.996 0.993 0.990
k141_86071 96475 43.396 22.20 0.990 0.986 0.982
k141_85786 96469 51.144 19.29 0.993 0.990 0.986
k141_14130 95969 54.683 35.01 0.988 0.977 0.971
k141_11905 93673 44.244 15.48 0.993 0.989 0.985
k141_82126 92344 54.740 14.77 0.992 0.987 0.983
k141_52164 92210 44.014 118.20 0.992 0.989 0.986
k141_80345 92097 46.030 44.27 0.993 0.990 0.986
k141_21189 91819 51.926 25.08 0.994 0.990 0.986
k141_39366 91107 45.928 48.89 0.992 0.988 0.984
k141_12914 90938 44.397 17.11 0.990 0.985 0.981
k141_50358 90881 48.547 94.13 0.996 0.993 0.989
k141_89469 90510 56.723 41.20 0.983 0.974 0.968
k141_782 90083 56.255 15.65 0.990 0.985 0.981
k141_37688 89692 53.772 12.18 0.994 0.991 0.988
k141_13574 89188 44.223 91.00 0.991 0.988 0.985
k141_29629 88741 57.659 15.71 0.988 0.984 0.979
k141_7128 87173 44.237 14.92 0.992 0.988 0.984
k141_73078 86661 43.464 16.91 0.990 0.985 0.982
k141_92075 86515 53.057 23.07 0.993 0.989 0.985
k141_59736 86454 41.184 12.34 0.986 0.982 0.979
k141_25798 86439 56.127 37.34 0.986 0.977 0.970
k141_3158 86221 51.452 75.96 0.995 0.992 0.987
k141_1098 85903 39.908 18.90 0.980 0.977 0.974
k141_95168 85546 54.970 15.49 0.988 0.983 0.979
k141_21141 85138 45.083 110.87 0.992 0.988 0.985
k141_59666 84646 51.024 24.16 0.996 0.992 0.988
k141_91451 84605 35.919 49.44 0.963 0.958 0.954
k141_98809 83402 43.096 21.67 0.989 0.984 0.979
k141_4832 82819 55.090 34.74 0.991 0.987 0.984
k141_88626 82488 41.456 92.51 0.986 0.984 0.981
k141_96053 82152 56.370 35.42 0.986 0.978 0.972
k141_52112 81821 42.415 22.69 0.987 0.983 0.979
k141_5808 81384 64.865 13.64 0.961 0.957 0.951
k141_94123 81285 53.550 22.95 0.992 0.989 0.984
k141_77405 80719 42.082 14.26 0.988 0.984 0.981
k141_19536 80549 55.903 34.00 0.986 0.976 0.970
k141_42603 80405 58.367 15.31 0.981 0.976 0.971
k141_64192 80387 56.054 14.66 0.986 0.982 0.978
k141_3780 80179 40.598 17.88 0.983 0.980 0.977
k141_45909 79781 41.907 96.02 0.986 0.983 0.980
k141_97148 78463 45.776 18.97 0.994 0.989 0.984
k141_85393 78312 43.320 12.13 0.990 0.987 0.983
k141_43357 78264 46.719 51.39 0.995 0.991 0.987
k141_86389 78120 41.852 22.71 0.986 0.981 0.978
k141_83558 77910 45.974 15.85 0.993 0.989 0.986
k141_56172 77458 44.700 18.73 0.993 0.989 0.985
k141_24744 76961 42.392 111.47 0.987 0.984 0.981
k141_50392 76803 49.157 44.87 0.996 0.993 0.988
k141_15250 76740 40.658 11.50 0.984 0.981 0.979
k141_31225 76690 43.735 15.35 0.990 0.987 0.983
k141_75590 76151 55.318 43.19 0.987 0.978 0.972
k141_81205 76009 42.990 111.33 0.989 0.986 0.983
k141_29930 75523 56.493 37.17 0.986 0.976 0.970
k141_53556 75121 47.984 22.33 0.995 0.992 0.989
k141_52381 75099 53.559 13.96 0.993 0.988 0.984
k141_61883 74975 49.931 96.84 0.997 0.995 0.991
k141_14846 74523 43.733 15.09 0.991 0.987 0.983
k141_80673 74238 41.145 24.36 0.984 0.979 0.976
k141_15160 74029 46.715 14.83 0.996 0.992 0.989
k141_9576 71637 43.108 112.67 0.990 0.987 0.984
k141_49017 71566 59.732 17.27 0.979 0.974 0.968
k141_42674 69891 57.014 44.09 0.984 0.975 0.968
k141_31972 69867 54.332 40.18 0.988 0.981 0.975
k141_64562 69627 55.629 36.74 0.988 0.982 0.977
k141_17436 69550 55.449 37.69 0.988 0.979 0.973
k141_11599 69444 43.459 14.16 0.991 0.988 0.984
k141_50763 69138 44.112 18.74 0.990 0.987 0.984
k141_64482 69133 42.146 110.79 0.987 0.983 0.980
k141_84593 68840 45.521 50.88 0.993 0.990 0.986
k141_26254 68827 44.840 92.99 0.991 0.987 0.983
k141_10331 68757 41.164 21.55 0.983 0.978 0.975
k141_83189 68686 59.672 13.52 0.979 0.975 0.970
k141_50727 68586 43.108 11.02 0.990 0.986 0.983
k141_90985 68551 56.476 15.75 0.991 0.987 0.982
k141_78671 68049 52.543 22.40 0.993 0.990 0.986
k141_33337 68038 63.279 16.26 0.967 0.963 0.958
k141_5022 67970 55.463 14.29 0.991 0.988 0.983
k141_56990 67711 56.105 14.25 0.990 0.986 0.982
k141_78921 67417 44.078 22.31 0.990 0.985 0.981
k141_23390 67076 48.806 17.50 0.994 0.991 0.987
k141_15885 67031 52.691 24.61 0.996 0.992 0.988
k141_21816 66858 43.921 119.32 0.991 0.988 0.985
k141_12993 66824 53.011 22.45 0.992 0.989 0.985
k141_9633 66786 46.450 12.07 0.993 0.991 0.988
k141_84291 65879 42.655 96.63 0.988 0.985 0.981
k141_45534 65839 40.614 15.61 0.982 0.978 0.976
k141_90744 65573 56.209 39.64 0.986 0.977 0.970
k141_92974 65483 44.181 13.95 0.991 0.988 0.985
k141_4851 65335 50.287 25.37 0.995 0.992 0.988
k141_85779 65103 44.376 99.10 0.992 0.988 0.985
k141_96338 64944 54.222 16.05 0.993 0.989 0.985
k141_23051 64902 58.650 14.09 0.982 0.978 0.973
k141_99938 64722 42.024 13.03 0.989 0.986 0.984
k141_80317 64415 52.750 11.47 0.992 0.988 0.984
k141_51434 63846 47.496 53.99 0.995 0.992 0.988
k141_94898 63533 53.124 12.18 0.992 0.989 0.985
k141_1579 63424 56.644 39.77 0.982 0.973 0.966
k141_43925 62988 44.342 15.47 0.991 0.987 0.984
k141_25516 62664 43.993 42.53 0.990 0.987 0.984
k141_63164 62495 42.927 96.00 0.990 0.988 0.985
k141_32364 62354 44.894 12.89 0.993 0.989 0.985
k141_50745 61911 43.231 110.40 0.988 0.985 0.982
k141_620 61831 46.643 102.29 0.994 0.991 0.987
k141_90245 61296 55.284 33.96 0.987 0.978 0.972
k141_34146 60876 52.181 24.33 0.994 0.989 0.985
k141_21549 60876 52.592 13.67 0.995 0.990 0.986
k141_40393 60443 56.577 34.55 0.986 0.978 0.972
k141_72335 60180 53.039 12.67 0.992 0.988 0.984
k141_39879 59990 43.179 23.64 0.989 0.985 0.981
k141_1183 59800 45.682 14.45 0.995 0.990 0.986
k141_61535 59776 43.967 16.20 0.991 0.987 0.983
k141_88639 59458 46.885 30.01 0.995 0.993 0.989
k141_29266 59372 55.351 14.64 0.991 0.987 0.983
k141_6403 59247 44.368 16.36 0.992 0.987 0.983
k141_14119 59208 42.369 21.43 0.987 0.984 0.980
k141_3301 59040 44.245 14.19 0.993 0.989 0.985
k141_64704 58995 39.717 12.92 0.981 0.977 0.974
k141_87076 58841 43.057 23.53 0.989 0.984 0.981
k141_4651 58656 49.441 75.63 0.995 0.992 0.988
k141_17238 58605 44.111 11.81 0.990 0.986 0.982
k141_57213 58509 42.349 169.24 0.985 0.980 0.974
k141_63412 58491 47.691 46.68 0.995 0.992 0.987
k141_27511 58239 47.501 16.59 0.993 0.990 0.986
k141_89497 58051 52.056 20.77 0.990 0.986 0.981
k141_48715 58003 53.904 14.39 0.990 0.985 0.981
k141_57539 57948 53.117 21.82 0.991 0.987 0.983
k141_84373 57717 59.624 14.82 0.978 0.973 0.968
k141_8462 57599 64.234 12.72 0.963 0.958 0.953
k141_39079 57234 42.730 116.01 0.988 0.985 0.982
k141_31000 56919 56.514 39.32 0.984 0.976 0.969
k141_69181 56866 60.894 16.98 0.976 0.972 0.968
k141_37189 56716 41.692 15.51 0.985 0.981 0.978
k141_29596 56616 56.046 35.56 0.986 0.977 0.971
k141_82869 56557 51.842 22.62 0.996 0.992 0.988
k141_55509 56533 60.324 14.80 0.976 0.970 0.964
k141_57139 56324 55.388 35.78 0.987 0.978 0.972
k141_80321 55809 44.728 17.50 0.992 0.988 0.984
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k141_75066 3032 53.958 8.26 0.987 0.980 0.970
k141_28107 3031 53.877 5.37 0.989 0.978 0.967
k141_71832 3030 47.096 6.24 0.993 0.987 0.978
k141_91160 3029 43.480 6.94 0.982 0.977 0.968
k141_53859 3029 57.676 9.30 0.969 0.959 0.947
k141_69792 3028 48.778 5.59 0.988 0.976 0.964
k141_68680 3027 46.350 8.62 0.990 0.986 0.979
k141_17382 3027 42.980 6.89 0.986 0.983 0.975
k141_100164 3027 41.824 34.06 0.977 0.970 0.961
k141_9093 3025 55.174 7.86 0.979 0.967 0.954
k141_71463 3025 55.570 8.24 0.984 0.972 0.959
k141_54746 3025 38.711 9.55 0.964 0.958 0.949
k141_21626 3025 53.058 7.91 0.979 0.968 0.955
k141_17036 3025 50.975 8.85 0.989 0.979 0.967
k141_98649 3024 26.653 5.07 0.912 0.906 0.897
k141_71964 3024 53.241 8.47 0.988 0.977 0.964
Displaying first 5000 of 98667 lines

Table 3 . Basic contig statistics, filtered contigs

Table 3 . Basic contig statistics, filtered contigs
#ID length GC coverage S_2mer S_3mer S_4mer
k141_75822 349967 48.068 72.00 0.995 0.992 0.988
k141_7818 343210 43.778 14.94 0.991 0.987 0.984
k141_65279 342700 47.468 52.60 0.995 0.992 0.988
k141_41565 334399 46.144 42.71 0.995 0.992 0.988
k141_3867 328629 56.630 44.82 0.984 0.976 0.970
k141_13128 299237 42.963 103.08 0.989 0.986 0.983
k141_72305 298100 46.238 47.37 0.994 0.991 0.987
k141_24307 297381 42.899 23.73 0.989 0.985 0.982
k141_56177 294754 53.046 25.60 0.995 0.991 0.988
k141_81420 290324 43.567 16.03 0.992 0.988 0.985
k141_66580 284177 59.188 15.97 0.980 0.976 0.971
k141_56178 260876 51.135 89.77 0.996 0.993 0.990
k141_74110 260643 47.584 52.43 0.996 0.992 0.989
k141_66389 254313 51.474 85.53 0.996 0.993 0.989
k141_77114 250564 60.446 19.20 0.977 0.972 0.968
k141_21980 248942 44.240 18.89 0.991 0.986 0.982
k141_38462 247234 49.724 83.81 0.996 0.993 0.990
k141_42929 244785 45.550 45.20 0.993 0.990 0.986
k141_80054 237758 59.367 18.59 0.980 0.976 0.971
k141_30530 231031 43.386 20.94 0.990 0.986 0.983
k141_45430 216979 42.710 95.58 0.987 0.984 0.981
k141_85430 215400 45.105 48.78 0.991 0.988 0.984
k141_49166 214267 51.571 24.91 0.995 0.991 0.987
k141_55802 212293 42.071 14.27 0.988 0.985 0.982
k141_58139 210510 48.182 62.49 0.996 0.992 0.989
k141_2039 206891 52.658 24.68 0.994 0.990 0.986
k141_14040 206497 56.094 43.37 0.985 0.976 0.970
k141_35295 201433 47.380 53.63 0.996 0.992 0.989
k141_8865 197632 42.358 15.09 0.988 0.985 0.982
k141_54005 194219 45.700 23.28 0.994 0.989 0.985
k141_80724 187223 52.728 25.26 0.995 0.990 0.987
k141_38676 184883 47.834 44.19 0.996 0.993 0.989
k141_49734 183655 59.868 23.25 0.979 0.974 0.970
k141_26699 181034 55.255 37.47 0.987 0.979 0.973
k141_33031 177537 59.104 18.55 0.980 0.975 0.970
k141_35969 176101 52.275 24.72 0.994 0.990 0.986
k141_93485 175932 45.173 13.82 0.995 0.991 0.987
k141_95780 174227 44.188 16.42 0.991 0.987 0.983
k141_65291 171919 52.663 64.42 0.996 0.993 0.989
k141_38052 171507 42.840 89.67 0.989 0.986 0.983
k141_85251 171455 44.813 107.54 0.992 0.989 0.986
k141_27531 170632 55.983 15.15 0.991 0.986 0.982
k141_24405 170476 52.318 24.95 0.996 0.992 0.989
k141_35980 169718 56.888 15.60 0.989 0.985 0.980
k141_42760 165793 43.850 24.57 0.990 0.985 0.982
k141_84438 165051 54.177 14.86 0.994 0.991 0.987
k141_48279 164153 44.343 21.05 0.991 0.986 0.983
k141_77993 163397 43.819 15.31 0.991 0.987 0.984
k141_38100 160559 44.400 17.44 0.991 0.985 0.981
k141_11690 158681 42.615 17.25 0.988 0.984 0.981
k141_79744 158391 55.843 15.87 0.988 0.984 0.980
k141_21234 157936 51.005 20.90 0.994 0.991 0.987
k141_33131 156971 59.596 14.22 0.979 0.974 0.970
k141_92115 155923 43.156 23.92 0.989 0.985 0.981
k141_24049 154384 46.888 51.20 0.995 0.992 0.988
k141_4050 153662 43.432 90.19 0.990 0.987 0.984
k141_82180 153142 42.690 15.95 0.989 0.984 0.981
k141_32358 152608 42.628 116.34 0.989 0.986 0.983
k141_82053 151527 43.632 15.40 0.990 0.987 0.983
k141_44762 151251 45.147 15.64 0.993 0.989 0.985
k141_50527 150925 44.891 19.96 0.993 0.989 0.985
k141_9369 150564 44.080 20.54 0.990 0.986 0.982
k141_98113 149946 59.731 15.54 0.979 0.974 0.969
k141_13659 149705 42.163 102.94 0.988 0.985 0.981
k141_42254 149580 47.624 11.12 0.996 0.993 0.990
k141_27950 145511 43.580 107.66 0.990 0.987 0.983
k141_70956 142594 51.029 83.04 0.995 0.992 0.988
k141_88769 142375 41.815 106.18 0.987 0.984 0.981
k141_99667 142287 43.939 98.42 0.991 0.988 0.984
k141_48340 141763 42.184 105.34 0.987 0.984 0.980
k141_55455 136465 56.687 40.03 0.985 0.976 0.970
k141_21203 135421 59.063 17.78 0.979 0.974 0.970
k141_93129 135091 56.597 17.40 0.987 0.982 0.979
k141_27822 133070 49.678 75.87 0.995 0.992 0.988
k141_77686 132617 45.896 22.88 0.993 0.990 0.987
k141_89167 132166 43.645 105.86 0.989 0.986 0.982
k141_24949 132128 42.288 23.56 0.987 0.983 0.979
k141_52490 130310 40.701 93.21 0.984 0.981 0.978
k141_58603 130099 43.392 22.82 0.990 0.986 0.982
k141_70314 128308 41.069 21.24 0.984 0.980 0.977
k141_82257 128221 50.585 18.63 0.993 0.989 0.985
k141_60604 125307 50.084 28.28 0.996 0.992 0.989
k141_26775 123846 43.918 17.96 0.992 0.988 0.985
k141_93028 123773 51.598 20.23 0.992 0.988 0.984
k141_52515 122240 58.581 15.35 0.981 0.977 0.972
k141_54295 122187 49.666 17.62 0.992 0.988 0.984
k141_16758 122120 50.239 19.07 0.994 0.990 0.986
k141_9848 121245 49.061 87.40 0.997 0.994 0.990
k141_82218 121088 47.904 50.65 0.996 0.993 0.989
k141_65953 119854 56.956 15.11 0.987 0.984 0.979
k141_41930 119730 44.259 20.94 0.993 0.989 0.986
k141_59116 119376 41.513 21.66 0.985 0.982 0.978
k141_63278 119182 46.954 21.98 0.995 0.992 0.989
k141_52511 116680 49.949 18.01 0.995 0.992 0.989
k141_2547 115178 42.488 18.42 0.988 0.985 0.981
k141_23512 113096 52.944 86.49 0.995 0.992 0.987
k141_44732 112899 50.967 82.19 0.995 0.992 0.987
k141_17176 111928 42.784 21.84 0.988 0.983 0.980
k141_83735 111178 57.975 13.71 0.985 0.981 0.977
k141_50228 110986 58.216 13.72 0.983 0.978 0.974
k141_46654 110719 42.642 23.88 0.989 0.985 0.982
k141_55639 109773 47.991 22.64 0.995 0.991 0.988
k141_84607 108052 47.107 50.64 0.995 0.991 0.987
k141_50314 106536 43.321 114.56 0.990 0.986 0.983
k141_28565 106320 51.861 24.48 0.996 0.992 0.989
k141_16990 105585 53.258 26.82 0.996 0.992 0.988
k141_56562 105582 42.678 93.97 0.988 0.985 0.982
k141_82777 105003 53.173 25.64 0.995 0.991 0.987
k141_14803 104860 49.119 80.09 0.997 0.994 0.990
k141_24777 104179 48.006 49.06 0.996 0.992 0.987
k141_95482 104038 51.698 87.98 0.997 0.994 0.990
k141_52899 103194 43.400 23.37 0.991 0.987 0.985
k141_90312 103058 42.712 21.35 0.988 0.983 0.980
k141_15446 102470 49.339 77.13 0.996 0.993 0.989
k141_94730 102259 44.355 12.87 0.993 0.989 0.985
k141_66691 101156 41.785 105.81 0.987 0.984 0.981
k141_72022 100834 46.324 47.86 0.993 0.989 0.985
k141_47076 100722 44.054 22.06 0.991 0.986 0.983
k141_62869 100069 42.456 111.02 0.987 0.984 0.981
k141_55507 98611 41.167 19.11 0.986 0.982 0.979
k141_40791 98181 49.633 22.80 0.996 0.993 0.990
k141_86071 96475 43.396 22.21 0.990 0.986 0.982
k141_85786 96469 51.144 19.35 0.993 0.990 0.986
k141_14130 95969 54.683 35.04 0.988 0.977 0.971
k141_11905 93673 44.244 15.51 0.993 0.989 0.985
k141_82126 92344 54.740 15.11 0.992 0.987 0.983
k141_52164 92210 44.014 118.54 0.992 0.989 0.986
k141_80345 92097 46.030 44.31 0.993 0.990 0.986
k141_21189 91819 51.926 25.14 0.994 0.990 0.986
k141_39366 91107 45.928 48.95 0.992 0.988 0.984
k141_12914 90938 44.397 17.12 0.990 0.985 0.981
k141_50358 90881 48.547 94.18 0.996 0.993 0.989
k141_89469 90510 56.723 41.99 0.983 0.974 0.968
k141_782 90083 56.255 15.75 0.990 0.985 0.981
k141_37688 89692 53.772 12.20 0.994 0.991 0.988
k141_13574 89188 44.223 91.06 0.991 0.988 0.985
k141_29629 88741 57.659 15.81 0.988 0.984 0.979
k141_7128 87173 44.237 14.96 0.992 0.988 0.984
k141_73078 86661 43.464 16.92 0.990 0.985 0.982
k141_92075 86515 53.057 23.08 0.993 0.989 0.985
k141_59736 86454 41.184 12.43 0.986 0.982 0.979
k141_25798 86439 56.127 38.39 0.986 0.977 0.970
k141_3158 86221 51.452 76.41 0.995 0.992 0.987
k141_1098 85903 39.908 19.13 0.980 0.977 0.974
k141_95168 85546 54.970 15.51 0.988 0.983 0.979
k141_21141 85138 45.083 111.20 0.992 0.988 0.985
k141_59666 84646 51.024 24.24 0.996 0.992 0.988
k141_91451 84605 35.919 49.67 0.963 0.958 0.954
k141_98809 83402 43.096 21.68 0.989 0.984 0.979
k141_4832 82819 55.090 34.98 0.991 0.987 0.984
k141_88626 82488 41.456 92.79 0.986 0.984 0.981
k141_96053 82152 56.370 36.40 0.986 0.978 0.972
k141_52112 81821 42.415 22.70 0.987 0.983 0.979
k141_5808 81384 64.865 13.76 0.961 0.957 0.951
k141_94123 81285 53.550 22.98 0.992 0.989 0.984
k141_77405 80719 42.082 14.31 0.988 0.984 0.981
k141_19536 80549 55.903 35.04 0.986 0.976 0.970
k141_42603 80405 58.367 15.36 0.981 0.976 0.971
k141_64192 80387 56.054 14.72 0.986 0.982 0.978
k141_3780 80179 40.598 17.90 0.983 0.980 0.977
k141_45909 79781 41.907 96.22 0.986 0.983 0.980
k141_97148 78463 45.776 18.98 0.994 0.989 0.984
k141_85393 78312 43.320 12.16 0.990 0.987 0.983
k141_43357 78264 46.719 51.41 0.995 0.991 0.987
k141_86389 78120 41.852 22.72 0.986 0.981 0.978
k141_83558 77910 45.974 15.88 0.993 0.989 0.986
k141_56172 77458 44.700 18.74 0.993 0.989 0.985
k141_24744 76961 42.392 111.48 0.987 0.984 0.981
k141_50392 76803 49.157 44.88 0.996 0.993 0.988
k141_15250 76740 40.658 11.52 0.984 0.981 0.979
k141_31225 76690 43.735 15.42 0.990 0.987 0.983
k141_75590 76151 55.318 44.24 0.987 0.978 0.972
k141_81205 76009 42.990 111.69 0.989 0.986 0.983
k141_29930 75523 56.493 37.28 0.986 0.976 0.970
k141_53556 75121 47.984 22.58 0.995 0.992 0.989
k141_52381 75099 53.559 14.01 0.993 0.988 0.984
k141_61883 74975 49.931 96.86 0.997 0.995 0.991
k141_14846 74523 43.733 15.16 0.991 0.987 0.983
k141_80673 74238 41.145 24.37 0.984 0.979 0.976
k141_15160 74029 46.715 15.50 0.996 0.992 0.989
k141_9576 71637 43.108 112.71 0.990 0.987 0.984
k141_49017 71566 59.732 17.39 0.979 0.974 0.968
k141_42674 69891 57.014 45.25 0.984 0.975 0.968
k141_31972 69867 54.332 41.54 0.988 0.981 0.975
k141_64562 69627 55.629 37.30 0.988 0.982 0.977
k141_17436 69550 55.449 37.74 0.988 0.979 0.973
k141_11599 69444 43.459 14.18 0.991 0.988 0.984
k141_50763 69138 44.112 19.81 0.990 0.987 0.984
k141_64482 69133 42.146 110.86 0.987 0.983 0.980
k141_84593 68840 45.521 50.88 0.993 0.990 0.986
k141_26254 68827 44.840 94.02 0.991 0.987 0.983
k141_10331 68757 41.164 21.59 0.983 0.978 0.975
k141_83189 68686 59.672 14.50 0.979 0.975 0.970
k141_50727 68586 43.108 11.03 0.990 0.986 0.983
k141_90985 68551 56.476 15.81 0.991 0.987 0.982
k141_78671 68049 52.543 22.47 0.993 0.990 0.986
k141_33337 68038 63.279 16.31 0.967 0.963 0.958
k141_5022 67970 55.463 14.33 0.991 0.988 0.983
k141_56990 67711 56.105 14.37 0.990 0.986 0.982
k141_78921 67417 44.078 22.42 0.990 0.985 0.981
k141_23390 67076 48.806 17.53 0.994 0.991 0.987
k141_15885 67031 52.691 24.78 0.996 0.992 0.988
k141_21816 66858 43.921 119.45 0.991 0.988 0.985
k141_12993 66824 53.011 22.48 0.992 0.989 0.985
k141_9633 66786 46.450 12.16 0.993 0.991 0.988
k141_84291 65879 42.655 96.66 0.988 0.985 0.981
k141_45534 65839 40.614 15.64 0.982 0.978 0.976
k141_90744 65573 56.209 39.70 0.986 0.977 0.970
k141_92974 65483 44.181 13.97 0.991 0.988 0.985
k141_4851 65335 50.287 25.42 0.995 0.992 0.988
k141_85779 65103 44.376 99.11 0.992 0.988 0.985
k141_96338 64944 54.222 16.12 0.993 0.989 0.985
k141_23051 64902 58.650 14.20 0.982 0.978 0.973
k141_99938 64722 42.024 13.05 0.989 0.986 0.984
k141_80317 64415 52.750 11.82 0.992 0.988 0.984
k141_51434 63846 47.496 54.00 0.995 0.992 0.988
k141_94898 63533 53.124 12.20 0.992 0.989 0.985
k141_1579 63424 56.644 41.36 0.982 0.973 0.966
k141_43925 62988 44.342 15.48 0.991 0.987 0.984
k141_25516 62664 43.993 42.57 0.990 0.987 0.984
k141_63164 62495 42.927 96.07 0.990 0.988 0.985
k141_32364 62354 44.894 12.92 0.993 0.989 0.985
k141_50745 61911 43.231 110.87 0.988 0.985 0.982
k141_620 61831 46.643 102.32 0.994 0.991 0.987
k141_90245 61296 55.284 34.64 0.987 0.978 0.972
k141_34146 60876 52.181 24.37 0.994 0.989 0.985
k141_21549 60876 52.592 13.70 0.995 0.990 0.986
k141_40393 60443 56.577 35.34 0.986 0.978 0.972
k141_72335 60180 53.039 12.76 0.992 0.988 0.984
k141_39879 59990 43.179 23.80 0.989 0.985 0.981
k141_1183 59800 45.682 14.47 0.995 0.990 0.986
k141_61535 59776 43.967 16.21 0.991 0.987 0.983
k141_88639 59458 46.885 30.35 0.995 0.993 0.989
k141_29266 59372 55.351 14.76 0.991 0.987 0.983
k141_6403 59247 44.368 16.37 0.992 0.987 0.983
k141_14119 59208 42.369 21.45 0.987 0.984 0.980
k141_3301 59040 44.245 14.22 0.993 0.989 0.985
k141_64704 58995 39.717 12.96 0.981 0.977 0.974
k141_87076 58841 43.057 26.72 0.989 0.984 0.981
k141_4651 58656 49.441 76.46 0.995 0.992 0.988
k141_17238 58605 44.111 11.83 0.990 0.986 0.982
k141_57213 58509 42.349 169.28 0.985 0.980 0.974
k141_63412 58491 47.691 46.70 0.995 0.992 0.987
k141_27511 58239 47.501 16.60 0.993 0.990 0.986
k141_89497 58051 52.056 20.82 0.990 0.986 0.981
k141_48715 58003 53.904 14.43 0.990 0.985 0.981
k141_57539 57948 53.117 21.86 0.991 0.987 0.983
k141_84373 57717 59.624 14.89 0.978 0.973 0.968
k141_8462 57599 64.234 12.77 0.963 0.958 0.953
k141_39079 57234 42.730 117.31 0.988 0.985 0.982
k141_31000 56919 56.514 40.08 0.984 0.976 0.969
k141_69181 56866 60.894 17.49 0.976 0.972 0.968
k141_37189 56716 41.692 15.54 0.985 0.981 0.978
k141_29596 56616 56.046 36.65 0.986 0.977 0.971
k141_82869 56557 51.842 22.66 0.996 0.992 0.988
k141_55509 56533 60.324 14.90 0.976 0.970 0.964
k141_57139 56324 55.388 36.73 0.987 0.978 0.972
k141_80321 55809 44.728 17.51 0.992 0.988 0.984
k141_87117 55733 49.606 36.98 0.995 0.989 0.985
k141_69969 55635 59.155 16.11 0.980 0.975 0.970
k141_77644 55279 55.234 37.40 0.985 0.974 0.966
k141_37582 55092 55.957 14.07 0.990 0.985 0.981
k141_92989 54927 48.625 54.71 0.996 0.991 0.987
k141_27961 54669 54.777 45.32 0.990 0.980 0.974
k141_18566 54617 41.967 11.30 0.986 0.982 0.978
k141_18732 54341 49.515 32.72 0.986 0.980 0.973
k141_42977 54140 41.356 112.46 0.986 0.983 0.980
k141_49570 54078 46.220 49.88 0.994 0.990 0.986
k141_48469 53749 44.717 51.68 0.992 0.988 0.984
k141_39526 53036 62.220 16.69 0.971 0.967 0.962
k141_46528 52537 58.277 15.50 0.986 0.982 0.977
k141_42152 52015 47.075 17.67 0.995 0.990 0.986
k141_20333 51872 58.457 14.43 0.982 0.978 0.973
k141_88757 51794 55.829 13.34 0.990 0.986 0.982
k141_89981 51625 44.922 11.53 0.993 0.989 0.985
k141_66336 51602 43.386 13.93 0.989 0.985 0.982
k141_82542 51555 45.988 47.04 0.994 0.990 0.986
k141_65736 50981 52.280 22.70 0.991 0.988 0.984
k141_6372 50824 48.105 12.25 0.990 0.985 0.981
k141_49002 50459 53.087 23.88 0.995 0.990 0.986
k141_11224 50102 56.900 39.44 0.983 0.974 0.967
k141_79258 49972 44.275 10.87 0.992 0.988 0.984
k141_78529 49828 56.819 38.76 0.983 0.976 0.971
k141_78548 49693 43.612 15.33 0.990 0.985 0.981
k141_63728 49587 52.869 12.71 0.995 0.991 0.987
k141_45642 49503 42.559 11.44 0.989 0.986 0.983
k141_71559 49275 40.515 20.67 0.984 0.980 0.976
k141_52799 49212 45.798 45.49 0.993 0.989 0.985
k141_46158 49108 54.056 11.25 0.993 0.991 0.987
k141_86095 49066 43.647 23.06 0.990 0.987 0.983
k141_23209 48895 39.605 114.00 0.982 0.979 0.975
k141_69455 48614 62.507 15.14 0.971 0.966 0.961
k141_64998 48452 54.029 10.80 0.991 0.987 0.983
k141_89099 48379 53.190 12.79 0.992 0.989 0.985
k141_81516 48228 45.407 14.28 0.991 0.985 0.981
k141_47888 48097 55.929 13.23 0.990 0.986 0.982
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k141_58748 3199 43.170 8.27 0.988 0.985 0.977
k141_26548 3199 43.889 14.75 0.985 0.975 0.962
k141_98040 3198 44.028 7.05 0.987 0.982 0.973
k141_90472 3198 45.841 6.65 0.982 0.977 0.968
k141_63918 3198 48.624 7.78 0.993 0.989 0.981
k141_28219 3198 49.625 54.59 0.989 0.983 0.971
k141_64159 3197 53.550 6.42 0.991 0.985 0.975
k141_39335 3197 52.831 6.64 0.994 0.987 0.978
k141_64149 3196 54.850 5.43 0.979 0.969 0.956
k141_4488 3196 41.771 12.44 0.985 0.980 0.971
k141_98475 3195 53.521 9.37 0.978 0.965 0.954
k141_91234 3195 46.792 10.35 0.986 0.977 0.967
k141_28199 3195 49.077 12.82 0.990 0.984 0.972
k141_14744 3195 52.582 5.34 0.992 0.983 0.973
k141_68760 3192 47.243 8.93 0.987 0.978 0.968
k141_1599 3191 48.543 9.00 0.994 0.988 0.979
k141_95107 3190 31.850 6.50 0.927 0.916 0.902
k141_84092 3190 36.583 7.88 0.969 0.966 0.960
k141_46268 3190 33.824 50.08 0.950 0.945 0.932
k141_48378 3189 53.998 8.08 0.993 0.985 0.975
k141_37954 3189 53.402 6.83 0.992 0.984 0.974
k141_15758 3189 51.584 23.89 0.993 0.981 0.970
k141_81159 3188 50.376 6.23 0.991 0.982 0.971
k141_70923 3187 52.024 8.13 0.992 0.988 0.979
k141_76859 3186 55.681 11.05 0.989 0.983 0.975
k141_65748 3186 55.838 217.89 0.986 0.977 0.966
k141_16416 3185 53.375 5.90 0.989 0.982 0.971
k141_90275 3184 48.964 10.80 0.986 0.974 0.962
k141_78413 3184 56.407 5.38 0.975 0.963 0.950
k141_32845 3184 29.083 6.92 0.928 0.921 0.911
k141_96162 3183 47.974 28.31 0.991 0.986 0.977
k141_9137 3183 50.927 8.83 0.996 0.988 0.976
k141_86268 3181 44.231 6.64 0.991 0.988 0.980
k141_73624 3181 53.568 7.37 0.979 0.967 0.955
k141_40795 3181 50.047 7.21 0.992 0.981 0.971
k141_29150 3181 46.558 15.44 0.981 0.971 0.959
k141_78102 3180 59.403 7.65 0.974 0.961 0.947
k141_97647 3179 42.812 7.28 0.975 0.965 0.953
k141_66974 3179 33.501 4.98 0.946 0.938 0.927
k141_66346 3174 51.103 6.04 0.987 0.976 0.963
k141_42852 3174 38.217 6.71 0.969 0.963 0.955
k141_72034 3173 57.390 7.02 0.980 0.965 0.948
k141_97535 3172 28.846 6.49 0.917 0.905 0.893
k141_29412 3170 46.246 8.39 0.994 0.990 0.983
k141_97676 3169 39.066 7.27 0.970 0.965 0.958
k141_93600 3168 40.278 6.63 0.980 0.975 0.967
k141_68863 3168 62.973 8.97 0.962 0.955 0.944
k141_43754 3167 54.626 10.93 0.989 0.982 0.972
k141_84509 3166 40.082 8.97 0.973 0.967 0.960
k141_83347 3166 53.348 7.50 0.986 0.978 0.966
k141_60396 3166 57.517 7.31 0.983 0.974 0.961
k141_58783 3166 37.018 8.01 0.966 0.962 0.955
k141_46792 3166 49.842 6.76 0.994 0.988 0.979
k141_46600 3166 36.260 8.16 0.966 0.959 0.950
k141_89284 3165 54.439 6.22 0.990 0.982 0.971
k141_39178 3165 41.264 8.42 0.982 0.978 0.969
k141_54438 3164 37.579 12.51 0.972 0.968 0.958
k141_505 3164 33.502 5.71 0.941 0.928 0.912
k141_40955 3164 59.893 6.05 0.979 0.969 0.956
k141_86732 3162 64.896 6.41 0.960 0.953 0.943
k141_5785 3161 49.668 8.89 0.986 0.975 0.963
k141_63494 3160 41.646 5.92 0.968 0.959 0.947
k141_29535 3160 52.184 5.78 0.994 0.987 0.978
k141_88521 3157 56.351 7.62 0.988 0.978 0.965
k141_87815 3157 53.595 10.70 0.993 0.988 0.978
k141_88447 3156 48.606 14.74 0.991 0.985 0.976
k141_46756 3156 41.381 8.02 0.982 0.977 0.968
k141_86606 3153 50.682 9.50 0.991 0.977 0.966
k141_56542 3152 58.312 7.91 0.952 0.940 0.926
k141_32784 3152 39.150 7.04 0.974 0.970 0.963
k141_21655 3152 55.869 8.02 0.985 0.968 0.951
k141_80864 3150 45.175 7.52 0.985 0.978 0.968
k141_94633 3149 57.637 6.77 0.983 0.973 0.962
k141_94256 3149 53.700 10.52 0.992 0.985 0.973
k141_27544 3149 48.809 19.25 0.992 0.986 0.976
k141_565 3148 50.032 7.25 0.985 0.975 0.966
k141_24535 3148 48.666 5.37 0.992 0.986 0.977
k141_41177 3146 48.093 6.91 0.993 0.988 0.978
k141_69689 3144 49.809 6.14 0.992 0.984 0.975
k141_65347 3144 46.501 8.50 0.990 0.982 0.971
k141_75054 3143 40.757 6.00 0.969 0.963 0.955
k141_42139 3143 50.970 8.15 0.970 0.959 0.946
k141_96121 3142 34.087 5.20 0.958 0.954 0.945
k141_51127 3142 57.034 94.58 0.981 0.978 0.971
k141_19016 3142 38.701 6.25 0.978 0.974 0.968
k141_41545 3140 48.280 6.01 0.993 0.981 0.969
k141_52688 3139 49.283 39.17 0.991 0.984 0.970
k141_97891 3138 52.199 21.80 0.986 0.980 0.970
k141_22770 3138 37.412 7.13 0.971 0.968 0.962
k141_97757 3137 33.918 6.51 0.946 0.935 0.921
k141_60070 3136 41.295 8.32 0.979 0.974 0.965
k141_39408 3136 38.616 9.71 0.973 0.969 0.960
k141_99587 3135 41.978 18.96 0.980 0.973 0.966
k141_88845 3135 37.448 6.62 0.968 0.963 0.956
k141_36485 3135 46.061 10.63 0.990 0.981 0.972
k141_31179 3135 48.644 5.09 0.993 0.985 0.975
k141_63196 3134 42.597 6.81 0.988 0.983 0.974
k141_2493 3133 55.027 9.33 0.972 0.958 0.945
k141_65412 3130 51.693 7.92 0.987 0.979 0.970
k141_90654 3129 47.299 6.84 0.992 0.982 0.971
k141_52914 3129 50.815 13.64 0.990 0.979 0.967
k141_63816 3127 52.638 5.15 0.995 0.987 0.976
k141_59061 3125 51.584 5.73 0.994 0.985 0.976
k141_42768 3124 46.959 49.50 0.995 0.986 0.977
k141_96301 3123 43.612 8.00 0.985 0.977 0.968
k141_84103 3123 48.415 6.04 0.982 0.972 0.956
k141_80540 3122 53.812 27.54 0.985 0.975 0.962
k141_21943 3122 52.819 8.25 0.981 0.969 0.958
k141_72284 3121 32.426 5.80 0.940 0.931 0.919
k141_8747 3119 41.969 6.25 0.987 0.982 0.974
k141_35994 3119 43.988 15.77 0.989 0.984 0.977
k141_12007 3118 33.900 7.78 0.940 0.936 0.928
k141_96652 3117 55.951 7.50 0.984 0.974 0.963
k141_14705 3116 50.513 10.64 0.994 0.987 0.976
k141_65249 3115 50.883 7.71 0.996 0.989 0.979
k141_21269 3115 49.438 7.69 0.987 0.978 0.967
k141_551 3114 51.541 7.08 0.993 0.983 0.971
k141_32198 3114 30.379 5.64 0.928 0.915 0.901
k141_8262 3112 43.766 20.97 0.986 0.976 0.965
k141_87296 3111 42.269 9.07 0.986 0.979 0.970
k141_39548 3111 40.791 8.82 0.983 0.979 0.971
k141_29029 3111 37.287 6.02 0.961 0.954 0.944
k141_76249 3110 54.952 6.37 0.985 0.975 0.964
k141_33418 3110 40.611 8.05 0.981 0.977 0.969
k141_22316 3110 63.215 11.73 0.962 0.952 0.939
k141_62394 3108 53.057 8.17 0.995 0.990 0.982
k141_43054 3108 47.426 6.34 0.988 0.983 0.974
k141_98774 3107 47.473 8.00 0.978 0.968 0.957
k141_51706 3107 55.391 5.09 0.984 0.976 0.965
k141_70021 3106 52.737 5.45 0.990 0.980 0.970
k141_37079 3105 40.676 12.06 0.974 0.969 0.960
k141_83688 3104 35.599 6.39 0.957 0.948 0.938
k141_16818 3103 25.814 16.21 0.904 0.901 0.894
k141_18405 3102 52.257 6.36 0.990 0.980 0.968
k141_79830 3101 37.955 7.91 0.958 0.953 0.945
k141_57875 3100 44.065 28.83 0.989 0.983 0.973
k141_16244 3100 46.613 6.80 0.985 0.977 0.965
k141_51963 3098 53.809 32.57 0.993 0.988 0.978
k141_74772 3097 46.529 9.92 0.984 0.973 0.961
k141_45199 3097 52.050 11.17 0.988 0.977 0.964
k141_27615 3097 54.246 8.99 0.976 0.964 0.952
k141_2581 3097 58.541 13.38 0.979 0.969 0.958
k141_196 3097 46.787 12.57 0.992 0.982 0.971
k141_66516 3096 41.505 8.73 0.972 0.966 0.958
k141_5744 3096 50.904 8.23 0.993 0.987 0.979
k141_30186 3095 49.273 6.60 0.986 0.977 0.967
k141_24425 3095 53.376 7.70 0.992 0.986 0.976
k141_6202 3094 32.321 5.01 0.943 0.934 0.921
k141_2018 3094 48.578 8.18 0.994 0.990 0.982
k141_45375 3093 48.400 6.82 0.980 0.973 0.963
k141_55916 3092 44.470 10.86 0.982 0.969 0.953
k141_51393 3092 50.291 5.70 0.991 0.984 0.974
k141_62627 3091 51.019 7.93 0.980 0.965 0.951
k141_59063 3091 52.248 9.96 0.991 0.986 0.976
k141_5244 3091 49.790 8.79 0.979 0.969 0.958
k141_42916 3091 31.834 6.55 0.934 0.922 0.910
k141_26646 3091 56.519 6.26 0.977 0.960 0.944
k141_53182 3090 48.803 7.47 0.993 0.987 0.976
k141_52346 3090 46.278 11.09 0.991 0.981 0.969
k141_49759 3090 60.032 7.03 0.974 0.963 0.951
k141_3304 3090 59.482 5.32 0.977 0.967 0.953
k141_77705 3089 51.182 10.25 0.985 0.974 0.961
k141_40739 3089 46.811 7.64 0.989 0.979 0.969
k141_30391 3089 50.049 7.04 0.993 0.985 0.975
k141_92870 3087 35.536 6.97 0.964 0.961 0.955
k141_79415 3087 53.320 6.70 0.989 0.981 0.969
k141_28367 3087 53.191 6.96 0.993 0.984 0.973
k141_18569 3087 47.133 7.83 0.984 0.979 0.970
k141_6357 3086 52.333 6.48 0.989 0.980 0.970
k141_6124 3086 37.492 7.46 0.966 0.958 0.949
k141_43816 3086 51.167 7.92 0.989 0.984 0.975
k141_96031 3085 46.872 10.31 0.993 0.988 0.979
k141_30721 3085 49.627 10.96 0.989 0.986 0.978
k141_22473 3085 51.183 4.02 0.995 0.987 0.975
k141_83196 3084 41.991 14.99 0.986 0.982 0.974
k141_13107 3084 47.795 6.41 0.982 0.975 0.965
k141_28491 3082 36.729 8.72 0.966 0.963 0.956
k141_1385 3082 52.920 5.74 0.992 0.985 0.976
k141_40653 3081 56.378 6.21 0.983 0.975 0.964
k141_95338 3080 54.610 6.42 0.991 0.984 0.974
k141_97933 3079 51.120 7.66 0.987 0.980 0.971
k141_13085 3079 44.755 9.38 0.990 0.985 0.976
k141_23123 3078 49.838 7.02 0.995 0.983 0.972
k141_87102 3076 51.463 11.84 0.993 0.984 0.973
k141_86046 3076 53.316 6.23 0.991 0.984 0.971
k141_17969 3076 48.147 7.35 0.993 0.989 0.981
k141_64937 3075 49.431 31.62 0.989 0.983 0.974
k141_38401 3075 40.943 24.09 0.971 0.966 0.957
k141_17511 3075 56.780 7.09 0.974 0.967 0.957
k141_13925 3075 38.276 5.41 0.975 0.973 0.966
k141_70371 3074 29.506 8.12 0.933 0.930 0.922
k141_1421 3074 59.889 8.61 0.976 0.966 0.952
k141_6691 3073 38.432 10.20 0.971 0.966 0.957
k141_31841 3073 51.025 4.62 0.993 0.986 0.976
k141_5923 3072 54.590 8.41 0.971 0.965 0.956
k141_11645 3072 43.294 7.48 0.986 0.981 0.973
k141_74724 3071 31.879 6.65 0.942 0.935 0.924
k141_59070 3071 58.808 10.39 0.982 0.975 0.965
k141_48547 3071 38.294 169.68 0.971 0.963 0.950
k141_68421 3070 38.143 7.05 0.973 0.970 0.963
k141_3005 3070 53.941 6.37 0.983 0.972 0.958
k141_27308 3070 56.352 7.93 0.986 0.981 0.971
k141_11474 3070 42.508 6.33 0.985 0.979 0.972
k141_79009 3069 53.926 10.27 0.992 0.988 0.980
k141_43543 3069 51.450 7.17 0.994 0.987 0.976
k141_31089 3069 55.002 8.07 0.981 0.966 0.953
k141_75551 3068 37.647 6.97 0.974 0.971 0.963
k141_73533 3068 48.142 8.86 0.989 0.979 0.969
k141_577 3068 45.632 15.48 0.978 0.967 0.955
k141_35711 3068 60.267 5.70 0.968 0.958 0.946
k141_13566 3067 40.985 6.48 0.978 0.972 0.963
k141_92816 3066 52.511 7.46 0.983 0.977 0.968
k141_55906 3066 49.772 8.88 0.993 0.983 0.974
k141_88931 3064 50.033 7.31 0.987 0.974 0.961
k141_87131 3064 43.342 9.48 0.970 0.964 0.956
k141_4790 3064 46.736 37.78 0.986 0.982 0.974
k141_19971 3064 40.960 9.92 0.983 0.978 0.970
k141_38581 3063 48.482 8.34 0.991 0.987 0.980
k141_22324 3063 52.628 6.51 0.991 0.981 0.970
k141_91551 3062 46.571 16.00 0.989 0.985 0.977
k141_85651 3062 28.805 9.87 0.930 0.927 0.921
k141_76607 3062 53.429 6.57 0.985 0.977 0.967
k141_16731 3062 50.359 15.31 0.987 0.980 0.973
k141_92331 3061 35.707 4.59 0.962 0.958 0.950
k141_16735 3061 34.237 6.76 0.945 0.934 0.921
k141_88397 3060 50.196 20.45 0.982 0.973 0.959
k141_67075 3060 60.033 6.16 0.971 0.958 0.941
k141_87166 3059 58.320 7.43 0.980 0.969 0.953
k141_39529 3059 44.426 17.57 0.988 0.980 0.969
k141_28896 3058 38.522 7.54 0.975 0.971 0.962
k141_46000 3057 63.363 15.72 0.964 0.954 0.940
k141_82163 3056 45.746 5.07 0.987 0.975 0.964
k141_74993 3056 38.973 7.76 0.968 0.964 0.957
k141_65606 3056 54.777 11.82 0.986 0.978 0.968
k141_10094 3056 42.866 25.95 0.989 0.985 0.975
k141_93686 3055 46.972 5.62 0.993 0.984 0.974
k141_69215 3055 49.034 16.41 0.994 0.989 0.980
k141_50434 3055 41.538 6.86 0.970 0.962 0.952
k141_65409 3054 50.524 6.25 0.993 0.982 0.970
k141_71932 3052 41.776 4.78 0.956 0.948 0.935
k141_43846 3052 54.161 29.39 0.989 0.981 0.971
k141_35860 3050 46.918 444.68 0.991 0.985 0.974
k141_36468 3049 32.765 6.23 0.953 0.950 0.944
k141_14821 3049 59.134 8.33 0.983 0.973 0.960
k141_40208 3048 47.605 5.25 0.991 0.986 0.976
k141_25358 3048 33.924 13.23 0.938 0.925 0.910
k141_98754 3047 29.865 5.85 0.928 0.919 0.908
k141_2599 3047 52.872 6.64 0.994 0.985 0.973
k141_62471 3046 47.045 5.78 0.988 0.977 0.966
k141_22491 3045 51.067 7.18 0.982 0.971 0.959
k141_11982 3045 45.025 7.58 0.990 0.984 0.975
k141_23597 3044 55.618 5.28 0.970 0.963 0.949
k141_45701 3043 41.702 207.46 0.971 0.959 0.947
k141_42290 3043 52.547 225.13 0.989 0.982 0.972
k141_251 3043 37.660 9.78 0.970 0.964 0.956
k141_10137 3043 45.613 7.45 0.990 0.984 0.975
k141_15371 3042 58.481 6.26 0.972 0.959 0.944
k141_1186 3041 48.767 6.32 0.983 0.971 0.960
k141_68303 3039 54.623 6.85 0.989 0.980 0.969
k141_42359 3039 44.620 7.50 0.989 0.984 0.975
k141_48811 3038 55.300 8.40 0.991 0.987 0.979
k141_98714 3037 53.902 14.79 0.987 0.979 0.968
k141_9261 3037 46.526 5.27 0.983 0.970 0.958
k141_87176 3037 52.453 11.29 0.985 0.974 0.963
k141_69521 3037 34.705 5.91 0.959 0.954 0.946
k141_28644 3037 49.325 6.22 0.992 0.979 0.967
k141_21108 3036 37.451 9.07 0.971 0.967 0.960
k141_16081 3036 51.713 36.58 0.994 0.988 0.980
k141_9110 3034 57.185 6.76 0.975 0.965 0.952
k141_90757 3034 56.098 39.70 0.980 0.970 0.960
k141_79341 3034 58.405 5.03 0.976 0.965 0.953
k141_47893 3033 45.664 7.10 0.984 0.978 0.969
k141_39248 3033 55.292 5.33 0.985 0.974 0.961
k141_35532 3033 53.511 16.06 0.985 0.974 0.962
k141_75066 3032 53.958 12.14 0.987 0.980 0.970
k141_28107 3031 53.877 5.37 0.989 0.978 0.967
k141_71832 3030 47.096 6.25 0.993 0.987 0.978
k141_91160 3029 43.480 6.94 0.982 0.977 0.968
k141_53859 3029 57.676 9.30 0.969 0.959 0.947
k141_69792 3028 48.778 6.04 0.988 0.976 0.964
k141_68680 3027 46.350 8.62 0.990 0.986 0.979
k141_17382 3027 42.980 6.89 0.986 0.983 0.975
k141_100164 3027 41.824 34.07 0.977 0.970 0.961
k141_9093 3025 55.174 8.01 0.979 0.967 0.954
k141_71463 3025 55.570 8.37 0.984 0.972 0.959
k141_54746 3025 38.711 9.55 0.964 0.958 0.949
k141_21626 3025 53.058 8.12 0.979 0.968 0.955
k141_17036 3025 50.975 9.03 0.989 0.979 0.967
k141_98649 3024 26.653 5.28 0.912 0.906 0.897
k141_71964 3024 53.241 8.53 0.988 0.977 0.964
Displaying first 5000 of 17767 lines

Method: eggNOG MapperCarlos P. Cantalapiedra, Ana Hernandez-Plaza, Ivica Letunic, Peer Bork, Jaime Huerta-Cepas. (2021). eggNOG-mapper v2: functional annotation, orthology assignments, and domain prediction at the metagenomic scale. Molecular Biology and Evolution, msab293, https://doi.org/10.1093/molbev/msab293

Fast genome-wide functional annotation through orthology assignment.

Custom Parameters
  • --itype = metagenome
  • --genepred = prodigal
  • --decorate_gff = yes
Method: Bacterial ribosomal RNA predictor Seemann T. barrnap 0.9 : rapid ribosomal RNA prediction https://github.com/tseemann/barrnap

Barrnap predicts the location of ribosomal RNA genes in genomes. It supports bacteria (5S,23S,16S), archaea (5S,5.8S,23S,16S), metazoan mitochondria (12S,16S) and eukaryotes (5S,5.8S,28S,18S).

Custom Parameters
  • --outseq = alldata_annotation_rrna.fa
Method: ARAGORNLaslett D, Canback B. (2004) ARAGORN, a program to detect tRNA genes and tmRNA genes in nucleotide sequences. Nucleic Acids Res. 32(1):11-16. https://doi.org/10.1093/nar/gkh152

a program to detect tRNA genes and tmRNA genes in nucleotide sequences

Custom Parameters
  • -m
  • -t
  • -l
  • -w
  • -seq
Method: CAT/BAT: tool for taxonomic classification of contigs and metagenome-assembled genomes (MAGs) von Meijenfeldt FAB, Arkhipova K, Cambuy DD, Coutinho FH, Dutilh BE. (2019) Robust taxonomic classification of uncharted microbial sequences and bins with CAT and BAT. Genome Biology. 20:217. https://doi.org/10.1186/s13059-019-1817-x

Contig Annotation Tool (CAT) and Bin Annotation Tool (BAT) are pipelines for the taxonomic classification of long DNA sequences and metagenome assembled genomes (MAGs/bins) of both known and (highly) unknown microorganisms, as generated by contemporary metagenomics studies.

Custom Parameters
  • database = /mmfs1/projects/rrc_shared/common/references/CAT/20240422_CAT_nr/db
  • taxonomy = /mmfs1/projects/rrc_shared/common/references/CAT/20240422_CAT_nr/tax

Table 1 . Annotation details

Table 1 . Annotation details
Feature Counts
CDS 93353
rRNA 105

  • Binning assembled contigs

Method: MetaBAT2Kang DD, Li F, Kirton E, Thomas A, Egan R, An H, Wang Z. (2019) MetaBAT 2: an adaptive binning algorithm for robust and efficient genome reconstruction from metagenome assemblies. PeerJ. 7:e7359. doi: 10.7717/peerj.7359. PMID: 31388474; PMCID: PMC6662567.

A robust statistical framework for reconstructing genomes from metagenomic data

Custom Parameters
  • --saveCls
  • -l
Method: CAT/BAT: tool for taxonomic classification of contigs and metagenome-assembled genomes (MAGs) von Meijenfeldt FAB, Arkhipova K, Cambuy DD, Coutinho FH, Dutilh BE. (2019) Robust taxonomic classification of uncharted microbial sequences and bins with CAT and BAT. Genome Biology. 20:217. https://doi.org/10.1186/s13059-019-1817-x

Contig Annotation Tool (CAT) and Bin Annotation Tool (BAT) are pipelines for the taxonomic classification of long DNA sequences and metagenome assembled genomes (MAGs/bins) of both known and (highly) unknown microorganisms, as generated by contemporary metagenomics studies.

Custom Parameters
  • database = /mmfs1/projects/rrc_shared/common/references/CAT/20240422_CAT_nr/db
  • taxonomy = /mmfs1/projects/rrc_shared/common/references/CAT/20240422_CAT_nr/tax

Citations