another problem when converting bed to granges using togranges
1
0
Entering edit mode
Bakhtiyar • 0
@6f97db95
Last seen 2.7 years ago
Canada

So I have already performed this action before with the same bed file with no problem and now when I simply copy the same commands another error appears. I am not sure what the error is talking about, any ideas? Thanks.


> bed <- as.data.frame(read.table("overlap_flag_coordinates_with_r_duplicates_removed.bed",header = FALSE, sep="\t",stringsAsFactors=FALSE, quote=""))
> print(bed)
      V1      V2      V3                           V4  V5 V6      V7       V8       V9  V10
1   chr1  903734  904216   split_on_flag_rep2_peak_15  42  . 4.59529  6.68330  4.24517   64
2   chr1  912653  912938   split_on_flag_rep2_peak_22  27  . 3.29425  4.79185  2.77313  189
3   chr1  913579  913927   split_on_flag_rep2_peak_23  38  . 4.80347  6.12447  3.80320  244
4   chr1  916913  917442   split_on_flag_rep2_peak_26  50  . 4.35974  7.66459  5.03850   93
5   chr1  917590  918117   split_on_flag_rep2_peak_27  83  . 5.57745 11.79668  8.33518  433
6   chr1  922128  922420   split_on_flag_rep2_peak_32  38  . 4.53120  6.12447  3.80320  204
7   chr1  938767  939240   split_on_flag_rep2_peak_44  58  . 5.63120  8.68049  5.85552  398
8   chr1  940569  941178   split_on_flag_rep2_peak_47  61  . 5.89254  9.09404  6.17741  226
9   chr1  967494  968383   split_on_flag_rep2_peak_51  27  . 3.29425  4.79185  2.77313  785
10  chr1  983793  984073   split_on_flag_rep2_peak_56  58  . 5.63120  8.68049  5.85552   55
11  chr1 1064104 1064725   split_on_flag_rep2_peak_72  42  . 3.73134  6.60524  4.21172   54
12  chr1 1068405 1068758   split_on_flag_rep2_peak_74  49  . 5.28030  7.55213  4.94117   74
13  chr1 1069660 1070580   split_on_flag_rep2_peak_76 102  . 7.23364 14.21410 10.25889  367
14  chr1 1117487 1117897   split_on_flag_rep2_peak_86  61  . 6.16481  9.09404  6.17741  236
15  chr1 1121720 1122220   split_on_flag_rep2_peak_90 123  . 9.01154 16.81533 12.32594  397
16  chr1 1130274 1130554  split_on_flag_rep2_peak_100 112  . 8.64179 15.45685 11.23009  178
17  chr1 1136461 1136703  split_on_flag_rep2_peak_108  35  . 4.59043  5.81492  3.59353  151
18  chr1 1140759 1140964  split_on_flag_rep2_peak_110  45  . 5.07574  7.07820  4.53636   82
19  chr1 1148471 1148827  split_on_flag_rep2_peak_118  69  . 5.12081 10.08017  6.98827   59
20  chr1 1156950 1157148  split_on_flag_rep2_peak_126  53  . 5.62027  8.06901  5.36720   90
21  chr1 1210192 1210606  split_on_flag_rep2_peak_167  62  . 5.69381  9.20763  6.27269  282
22  chr1 1291617 1291923  split_on_flag_rep2_peak_176  53  . 5.62027  8.06901  5.36720  235
23  chr1 1304443 1304781  split_on_flag_rep2_peak_177 144  . 9.97656 19.53761 14.42307  226
24  chr1 1348122 1348313  split_on_flag_rep2_peak_187  37  . 4.58563  5.96864  3.70799  151
25  chr1 1430370 1430949  split_on_flag_rep2_peak_207  94  . 7.62726 13.21828  9.47143  470
26  chr1 1441128 1442007  split_on_flag_rep2_peak_217  56  . 5.20414  8.41215  5.63397  265
27  chr1 1444032 1444313  split_on_flag_rep2_peak_221  38  . 4.53120  6.12447  3.80320   93
28  chr1 1455282 1455981  split_on_flag_rep2_peak_228  42  . 4.59529  6.68330  4.24517  606
29  chr1 1459234 1459499  split_on_flag_rep2_peak_231  30  . 4.25893  5.21123  3.08267   48
30  chr1 1578655 1578898  split_on_flag_rep2_peak_246  52  . 5.52933  7.93085  5.26537  133
31  chr1 1600442 1601124  split_on_flag_rep2_peak_263 110  . 8.49332 15.22205 11.06264  281
32  chr1 1907388 1907713  split_on_flag_rep2_peak_295  38  . 4.53120  6.12447  3.80320   30
33  chr1 1919784 1920559  split_on_flag_rep2_peak_302  78  . 6.01594 11.20838  7.84588   66
34  chr1 1937596 1937877  split_on_flag_rep2_peak_318  57  . 4.94853  8.52716  5.72150   49
35  chr1 1947476 1947772  split_on_flag_rep2_peak_328  44  . 4.05532  6.90630  4.42478  215
36  chr1 1951867 1952046  split_on_flag_rep2_peak_330  53  . 5.24104  8.06021  5.36720   88
37  chr1 1964284 1964419  split_on_flag_rep2_peak_342  31  . 4.27238  5.35210  3.19946   86
38  chr1 1965506 1966608  split_on_flag_rep2_peak_344  65  . 6.08193  9.59291  6.56973  982
39  chr1 1991183 1991354  split_on_flag_rep2_peak_362  17  . 2.83762  3.53412  1.78672   82
40  chr1 2015482 2015822  split_on_flag_rep2_peak_379  41  . 4.58358  6.48253  4.10451   63
41  chr1 2020501 2020839  split_on_flag_rep2_peak_387  42  . 4.58002  6.65913  4.24517  242
42  chr1 2045114 2045369  split_on_flag_rep2_peak_417  53  . 4.09665  7.99138  5.31981  125
43  chr1 2049192 2050077  split_on_flag_rep2_peak_421 147  . 9.99723 19.95232 14.76748  597
44  chr1 2209463 2210427  split_on_flag_rep2_peak_449  66  . 5.98636  9.67487  6.63819   74
45  chr1 2335696 2336115  split_on_flag_rep2_peak_482  35  . 4.59043  5.81492  3.59353  335
46  chr1 2342957 2343856  split_on_flag_rep2_peak_488  42  . 4.59529  6.68330  4.24517  825
47  chr1 2435344 2435598  split_on_flag_rep2_peak_517  32  . 4.34180  5.45328  3.28697  131
48  chr1 2437876 2438479  split_on_flag_rep2_peak_519  61  . 6.16481  9.09404  6.17741  528
49  chr1 2803485 2804203  split_on_flag_rep2_peak_537  59  . 5.21682  8.77902  5.93386  251
50  chr1 2810331 2810656  split_on_flag_rep2_peak_545  53  . 5.62027  8.06901  5.36720   80
51  chr1 2814511 2815043  split_on_flag_rep2_peak_551  93  . 7.53890 13.07700  9.37274   96
52  chr1 2815551 2815946  split_on_flag_rep2_peak_553  84  . 7.23378 11.89780  8.41582  296
53  chr1 2840559 2840783  split_on_flag_rep2_peak_575  37  . 4.69805  5.97127  3.70898  148
54  chr1 2860563 2861058  split_on_flag_rep2_peak_586 105  . 8.34295 14.65639 10.57929  382
55  chr1 2868563 2868845  split_on_flag_rep2_peak_596  70  . 6.03183 10.13394  7.03485  212
56  chr1 2887599 2888280  split_on_flag_rep2_peak_614  91  . 7.41012 12.87080  9.18740  255
57  chr1 2933899 2934034  split_on_flag_rep2_peak_658  39  . 4.58790  6.33154  3.97100   64
58  chr1 2942642 2943313  split_on_flag_rep2_peak_662  42  . 4.39234  6.68330  4.24517  498
59  chr1 2947108 2947275  split_on_flag_rep2_peak_666  42  . 4.59529  6.68330  4.24517  102
60  chr1 2950936 2951195  split_on_flag_rep2_peak_671  78  . 6.70934 11.23720  7.84588  100
61  chr1 2969892 2970328  split_on_flag_rep2_peak_681  45  . 5.07574  7.07820  4.53636  318
62  chr1 2980213 2980765  split_on_flag_rep2_peak_693  96  . 7.79842 13.49155  9.68812  129
63  chr1 2983442 2983609  split_on_flag_rep2_peak_696  45  . 5.07574  7.07820  4.53636   97
64  chr1 2988290 2988600  split_on_flag_rep2_peak_700  52  . 5.52933  7.93085  5.26537  192
65  chr1 3002861 3005047  split_on_flag_rep2_peak_706 104  . 7.78720 14.49067 10.49436 1955
66  chr1 3021472 3021628  split_on_flag_rep2_peak_716  65  . 5.08963  9.54463  6.52471   85
67  chr1 3026682 3026842  split_on_flag_rep2_peak_720  42  . 4.59529  6.68330  4.24517   50
68  chr1 3033561 3033699  split_on_flag_rep2_peak_728  47  . 4.80562  7.36005  4.78056   78
69  chr1 3349134 3349821  split_on_flag_rep2_peak_768  98  . 6.70868 13.63944  9.80151  580
70  chr1 3402496 3403030  split_on_flag_rep2_peak_782  83  . 5.57745 11.79668  8.33518  424
71  chr1 3423905 3424175  split_on_flag_rep2_peak_792  29  . 3.98644  5.08049  2.98889  203
72  chr1 3424303 3424785  split_on_flag_rep2_peak_793  42  . 5.11082  6.73404  4.28459  402
73  chr1 3442262 3442759  split_on_flag_rep2_peak_797  44  . 4.20753  6.90630  4.42478  215
74  chr1 3452088 3453048  split_on_flag_rep2_peak_803 110  . 8.23313 15.22205 11.06264  884
75  chr1 3459086 3459343  split_on_flag_rep2_peak_808  29  . 3.98644  5.08049  2.98889  171
76  chr1 3484119 3484433  split_on_flag_rep2_peak_824  54  . 5.32620  8.19604  5.47686  254
77  chr1 3535806 3536141  split_on_flag_rep2_peak_844  23  . 3.98667  4.34251  2.38194   65
78  chr1 3565488 3565973  split_on_flag_rep2_peak_862  42  . 4.59529  6.68330  4.24517   53
79  chr1 3652091 3652233  split_on_flag_rep2_peak_883  51  . 5.28599  7.75839  5.10916   61
80  chr1 3672004 3672154  split_on_flag_rep2_peak_891  42  . 4.59529  6.68330  4.24517   36
81  chr1 3702654 3703353  split_on_flag_rep2_peak_903  56  . 5.00119  8.41215  5.63397  393
82  chr1 3717594 3718024  split_on_flag_rep2_peak_908  45  . 5.34801  7.07820  4.53636  307
83  chr1 3746410 3746893  split_on_flag_rep2_peak_912  45  . 4.79342  6.99517  4.50186  382
84  chr1 3752410 3752776  split_on_flag_rep2_peak_914  53  . 4.77213  8.01736  5.33764   76
85  chr1 3755456 3755699  split_on_flag_rep2_peak_918  23  . 3.32663  4.34703  2.38354  197
86  chr1 3799892 3800224  split_on_flag_rep2_peak_929  84  . 7.01248 11.96289  8.47530  102
87  chr1 3906088 3906367  split_on_flag_rep2_peak_943  49  . 4.78230  7.50674  4.91519   87
88  chr1 3907607 3908194  split_on_flag_rep2_peak_945  77  . 6.82839 10.99833  7.73167  476
89  chr1 3910048 3910293  split_on_flag_rep2_peak_947  57  . 5.13427  8.52716  5.72150   79
90  chr1 3928694 3928878  split_on_flag_rep2_peak_956  74  . 6.45327 10.67549  7.46693  100
91  chr1 3939829 3940330  split_on_flag_rep2_peak_961  42  . 4.58002  6.65913  4.24517  184
92  chr1 3943899 3944176  split_on_flag_rep2_peak_965  94  . 6.80506 13.15166  9.43232   89
93  chr1 3957979 3958476  split_on_flag_rep2_peak_973  49  . 4.79824  7.53305  4.92334   99
94  chr1 3981391 3981675  split_on_flag_rep2_peak_984  45  . 4.94615  7.04170  4.53636  198
95  chr1 3982956 3983116  split_on_flag_rep2_peak_986  78  . 6.21889 11.20838  7.84588   82
96  chr1 4000019 4000219  split_on_flag_rep2_peak_994  47  . 3.85311  7.28745  4.72162  112
97  chr1 4002877 4003015  split_on_flag_rep2_peak_997  41  . 4.94105  6.48738  4.10793   57
98  chr1 4004015 4004383  split_on_flag_rep2_peak_999  77  . 6.69403 11.05501  7.78133   86
99  chr1 4004654 4005310 split_on_flag_rep2_peak_1000  38  . 3.90311  6.17367  3.83231   63
100 chr1 4010883 4011262 split_on_flag_rep2_peak_1004  49  . 4.79824  7.53305  4.92334  270
 [ reached 'max' / getOption("max.print") -- omitted 19800 rows ]
> gr1 <- toGRanges(bed, format="BED", header=FALSE)
Error in (function (data, colNames = NULL, format = "", ...)  : 
  colname must contain space/seqnames, start and end.

sessionInfo( )
R version 4.1.1 (2021-08-10)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19043)

Matrix products: default

locale:
[1] LC_COLLATE=English_Canada.1252  LC_CTYPE=English_Canada.1252   
[3] LC_MONETARY=English_Canada.1252 LC_NUMERIC=C                   
[5] LC_TIME=English_Canada.1252    

attached base packages:
[1] stats4    parallel  stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] ChIPpeakAnno_3.26.4  GenomicRanges_1.44.0 GenomeInfoDb_1.28.4  IRanges_2.26.0      
[5] S4Vectors_0.30.2     BiocGenerics_0.38.0 

loaded via a namespace (and not attached):
 [1] ProtGenerics_1.24.0         bitops_1.0-7                matrixStats_0.61.0         
 [4] bit64_4.0.5                 filelock_1.0.2              progress_1.2.2             
 [7] httr_1.4.2                  InteractionSet_1.20.0       tools_4.1.1                
[10] utf8_1.2.2                  R6_2.5.1                    colorspace_2.0-2           
[13] DBI_1.1.2                   lazyeval_0.2.2              tidyselect_1.1.1           
[16] prettyunits_1.1.1           bit_4.0.4                   curl_4.3.2                 
[19] compiler_4.1.1              VennDiagram_1.7.1           graph_1.70.0               
[22] cli_3.1.1                   Biobase_2.52.0              formatR_1.11               
[25] xml2_1.3.3                  DelayedArray_0.18.0         rtracklayer_1.52.1         
[28] scales_1.1.1                RBGL_1.68.0                 rappdirs_0.3.3             
[31] stringr_1.4.0               digest_0.6.29               Rsamtools_2.8.0            
[34] XVector_0.32.0              pkgconfig_2.0.3             MatrixGenerics_1.4.3       
[37] BSgenome_1.60.0             regioneR_1.24.0             dbplyr_2.1.1               
[40] fastmap_1.1.0               ensembldb_2.16.4            rlang_1.0.0                
[43] rstudioapi_0.13             RSQLite_2.2.9               BiocIO_1.2.0               
[46] generics_0.1.2              BiocParallel_1.26.2         dplyr_1.0.7                
[49] RCurl_1.98-1.5              magrittr_2.0.2              GenomeInfoDbData_1.2.6     
[52] futile.logger_1.4.3         Matrix_1.3-4                munsell_0.5.0              
[55] Rcpp_1.0.8                  fansi_1.0.2                 lifecycle_1.0.1            
[58] stringi_1.7.6               yaml_2.2.2                  MASS_7.3-54                
[61] SummarizedExperiment_1.22.0 zlibbioc_1.38.0             BiocFileCache_2.0.0        
[64] grid_4.1.1                  blob_1.2.2                  crayon_1.4.2               
[67] lattice_0.20-44             splines_4.1.1               Biostrings_2.60.2          
[70] multtest_2.48.0             GenomicFeatures_1.44.2      hms_1.1.1                  
[73] KEGGREST_1.32.0             pillar_1.7.0                rjson_0.2.21               
[76] biomaRt_2.48.3              futile.options_1.0.1        XML_3.99-0.8               
[79] glue_1.6.1                  lambda.r_1.2.4              png_0.1-7                  
[82] vctrs_0.3.8                 gtable_0.3.0                purrr_0.3.4                
[85] assertthat_0.2.1            cachem_1.0.6                ggplot2_3.3.5              
[88] restfulr_0.0.13             AnnotationFilter_1.16.0     survival_3.2-11            
[91] tibble_3.1.6                GenomicAlignments_1.28.0    AnnotationDbi_1.54.1       
[94] memoise_2.0.1               ellipsis_0.3.2
ChIPpeakAnno • 2.0k views
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1
Entering edit mode
Kai Hu ▴ 70
@kai
Last seen 6 months ago
Worcester

I believe the ChIPpeakAnno developer will fix this issue soon. Basically, there are some glitch in toGRanges() when format = "BED".

A possible quick workaround is to set it to narrowPeak:

gr1 <- toGRanges("overlap_flag_coordinates_with_r_duplicates_removed.bed", format="narrowPeak", header=FALSE)

Again, you don't need to convert your .bed into df since toGRanges() can read in files directly.

Another suggestion is to post follow-up questions under your original post so that others can understand the context better: Problem converting a bed file to granges using togranges chippeakanno

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0
Entering edit mode

Thanks for your help again. Setting up the format to narrowPeak worked, but only when I read the bed file via toGRanges() directly. Your suggestion about follow-up questions is also noted.

> gr1 <- toGRanges(bed, format="narrowPeak", header=FALSE)
Error in (function (data, colNames = NULL, format = "", ...)  : 
  colname must contain space/seqnames, start and end.
> gr1 <- toGRanges("overlap_flag_coordinates_with_r_duplicates_removed.bed", format="narrowPeak", header=FALSE)
Warning message:
In formatStrand(strand) : All the characters for strand, 
            other than '1', '-1', '+', '-' and '*', 
            will be converted into '*'.
> print(gr1)
GRanges object with 19900 ranges and 5 metadata columns:
                                 seqnames              ranges strand |     score signalValue
                                    <Rle>           <IRanges>  <Rle> | <integer>   <numeric>
      split_on_flag_rep2_peak_15     chr1       903734-904216      * |        42     4.59529
      split_on_flag_rep2_peak_22     chr1       912653-912938      * |        27     3.29425
      split_on_flag_rep2_peak_23     chr1       913579-913927      * |        38     4.80347
      split_on_flag_rep2_peak_26     chr1       916913-917442      * |        50     4.35974
      split_on_flag_rep2_peak_27     chr1       917590-918117      * |        83     5.57745
                             ...      ...                 ...    ... .       ...         ...
  split_on_flag_rep2_peak_240995     chrX 154603229-154603822      * |        39     4.19116
  split_on_flag_rep2_peak_241002     chrX 154658962-154659266      * |        66     5.95576
  split_on_flag_rep2_peak_241005     chrX 154670979-154671373      * |        62     5.47176
  split_on_flag_rep2_peak_241011     chrX 154750498-154750801      * |       136     8.45135
  split_on_flag_rep2_peak_241023     chrX 154939097-154939231      * |        29     3.98644
                                    pValue    qValue      peak
                                 <numeric> <numeric> <integer>
      split_on_flag_rep2_peak_15   6.68330   4.24517        64
      split_on_flag_rep2_peak_22   4.79185   2.77313       189
      split_on_flag_rep2_peak_23   6.12447   3.80320       244
      split_on_flag_rep2_peak_26   7.66459   5.03850        93
      split_on_flag_rep2_peak_27  11.79668   8.33518       433
                             ...       ...       ...       ...
  split_on_flag_rep2_peak_240995   6.34820   3.98126       488
  split_on_flag_rep2_peak_241002   9.62623   6.60090       232
  split_on_flag_rep2_peak_241005   9.20763   6.27269       131
  split_on_flag_rep2_peak_241011  18.49883  13.60219       118
  split_on_flag_rep2_peak_241023   5.08049   2.98889        38
  -------
  seqinfo: 46 sequences from an unspecified genome; no seqlengths
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