[BioC] MakeTranscriptDbFromGFF

Marc Carlson mcarlson at fhcrc.org
Fri May 3 00:52:38 CEST 2013


Hi Ugo,

The 15 GB tarball you sent me to contains several different GTF files 
for genes.  I grabbed this one as it seemed to be the most recent:

Mus_musculus/UCSC/mm9/Annotation/Archives/archive-2013-03-06-15-01-24/Genes/genes.gtf

So looking at this file I can reproduce the problem you mentioned.  And 
it shows me two problems.  The 1st problem is that the only field that 
seems to contain any information about exon positions is called phase 
(and not "exon_number" as was in the code I see from before).  There is 
not actually any field called "exon_number" in this file.  Either way, 
one thing you can check is to make sure that the string you give here is 
the same as the appropriate field name that is used by the file.  There 
is no way to know this information in advance since GTF does not specify 
how to encode this information (and in fact the information is entirely 
optional).

The second problem is that even "phase" can't work right now since the 
authors of this gtf file have decided to only associate the exon rank 
information only with CDS and never with exons features.  So there is 
not any actual 'exon' position information in this file, only 
information for CDS positions.  Now that I see people doing these files 
in this way, I plan to enhance the parser so that it can process files 
of this kind.


Is there a reason why you wanted to use this file and not the data 
contained in this package here?

http://www.bioconductor.org/packages/2.12/data/annotation/html/TxDb.Mmusculus.UCSC.mm9.knownGene.html


   Marc



On 05/02/2013 02:59 AM, Ugo Borello wrote:
> Dear Marc
> Sorry I was not precise on the origin of the gtf annotation file; I got the
> gtf file from here:
> http://tophat.cbcb.umd.edu/igenomes.shtml
>
> And more precisely from the Mus musculus/UCSC/mm9 folder
> Here the description of the content of the folder:
> ftp://igenome:G3nom3s4u@ussd-ftp.illumina.com/README.txt
>
> I realized reading the README.txt file that actually the genes.gtf file I
> used is the Ensembl annotation of the mm9 release.
> So, I changed dataSource = "Ensembl" in the function call and I got the same
> error message:
> Error in data.frame(..., check.names = FALSE) :
>    arguments imply differing number of rows: 541775, 0
>
> At the end of my previous email you have the result of calling:
> annFile<- import.gff('genes.gtf', format='gtf', asRangedData=FALSE)
>
>
> Thank you
>
> Ugo
>
>> From: Marc Carlson <mcarlson at fhcrc.org>
>> Date: Wed, 01 May 2013 15:33:02 -0700
>> To: <bioconductor at r-project.org>
>> Subject: Re: [BioC] MakeTranscriptDbFromGFF
>>
>> Hi Ugo,
>>
>> Which UCSC file was it that you were trying to process?
>>
>>
>>     Marc
>>
>>
>>
>> On 05/01/2013 02:21 AM, Ugo Borello wrote:
>>> Good morning,
>>>
>>> I have a little problem creating a TranscriptDb object using the function
>>> makeTranscriptDbFromGFF. I want to use this annotation to count the overlaps
>>> of my genomic alignments with genes.
>>>
>>>
>>> I ran:
>>>
>>>> txdb <-makeTranscriptDbFromGFF(file = annFile, format = "gtf",
>>> + exonRankAttributeName = "exon_number",
>>> + chrominfo = chrominfo,
>>> + dataSource = "UCSC",
>>> + species = "Mus musculus")
>>>
>>> And I got this error message:
>>> Error in data.frame(..., check.names = FALSE) :
>>>     arguments imply differing number of rows: 541775, 0
>>>
>>>
>>> "chrominfo" was (info retrieved from the fasta genome file):
>>>
>>>> chrominfo
>>>      chrom    length is_circular
>>> 1  chr10 129993255       FALSE
>>> 2  chr11 121843856       FALSE
>>> 3  chr12 121257530       FALSE
>>> 4  chr13 120284312       FALSE
>>> 5  chr14 125194864       FALSE
>>> 6  chr15 103494974       FALSE
>>> 7  chr16  98319150       FALSE
>>> 8  chr17  95272651       FALSE
>>> 9  chr18  90772031       FALSE
>>> 10 chr19  61342430       FALSE
>>> 11  chr1 197195432       FALSE
>>> 12  chr2 181748087       FALSE
>>> 13  chr3 159599783       FALSE
>>> 14  chr4 155630120       FALSE
>>> 15  chr5 152537259       FALSE
>>> 16  chr6 149517037       FALSE
>>> 17  chr7 152524553       FALSE
>>> 18  chr8 131738871       FALSE
>>> 19  chr9 124076172       FALSE
>>> 20  chrM     16299        TRUE
>>> 21  chrX 166650296       FALSE
>>> 22  chrY  15902555       FALSE
>>>
>>>
>>> I ran it again without the "exonRankAttributeName" argument and I got:
>>>
>>>> txdb <-makeTranscriptDbFromGFF(file = annFile, format = "gtf",
>>> + chrominfo = chrominfo,
>>> + dataSource = "UCSC",
>>> + species = "Mus musculus")
>>> extracting transcript information
>>> Estimating transcript ranges.
>>> Extracting gene IDs
>>> Processing splicing information for gtf file.
>>> Deducing exon rank from relative coordinates provided
>>> Prepare the 'metadata' data frame ... metadata: OK
>>> Error in .checkForeignKey(transcripts_tx_chrom, NA, "transcripts$tx_chrom",
>>> :
>>>     all the values in 'transcripts$tx_chrom' must be present in
>>> 'chrominfo$chrom'
>>> In addition: Warning message:
>>> In .deduceExonRankings(exs, format = "gtf") :
>>>     Infering Exon Rankings.  If this is not what you expected, then please be
>>> sure that you have provided a valid attribute for exonRankAttributeName
>>>
>>>
>>> Without the "chrominfo" argument I got the same error message as the first
>>> time:
>>>
>>>> txdb <-makeTranscriptDbFromGFF(file = annFile, format = "gtf",
>>> + exonRankAttributeName = "exon_number",
>>> + dataSource = "UCSC",
>>> + species = "Mus musculus")
>>>
>>> Error in data.frame(..., check.names = FALSE) :
>>>     arguments imply differing number of rows: 541775, 0
>>>
>>>
>>> Finally when I eliminated both the "exonRankAttributeName" and the
>>> "chrominfo" arguments it worked but the warning reminded me of the
>>> "exonRankAttributeName" argument and the chromosome names are now different
>>> from the ones in the genome file and there is no info on their length
>>>
>>>> txdb <-makeTranscriptDbFromGFF(file = annFile, format = "gtf",
>>> + dataSource = "UCSC",
>>> + species = "Mus musculus")
>>> extracting transcript information
>>> Estimating transcript ranges.
>>> Extracting gene IDs
>>> Processing splicing information for gtf file.
>>> Deducing exon rank from relative coordinates provided
>>> Prepare the 'metadata' data frame ... metadata: OK
>>> Now generating chrominfo from available sequence names. No chromosome length
>>> information is available.
>>> Warning messages:
>>> 1: In .deduceExonRankings(exs, format = "gtf") :
>>>     Infering Exon Rankings.  If this is not what you expected, then please be
>>> sure that you have provided a valid attribute for exonRankAttributeName
>>> 2: In matchCircularity(chroms, circ_seqs) :
>>>     None of the strings in your circ_seqs argument match your seqnames.
>>>
>>>> seqinfo(txdb)
>>> Seqinfo of length 32
>>> seqnames     seqlengths isCircular genome
>>> chr13              <NA>      FALSE   <NA>
>>> chr9               <NA>      FALSE   <NA>
>>> chr6               <NA>      FALSE   <NA>
>>> chrX               <NA>      FALSE   <NA>
>>> chr17              <NA>      FALSE   <NA>
>>> chr2               <NA>      FALSE   <NA>
>>> chr7               <NA>      FALSE   <NA>
>>> chr18              <NA>      FALSE   <NA>
>>> chr8               <NA>      FALSE   <NA>
>>> ...                 ...        ...    ...
>>> chrY_random        <NA>      FALSE   <NA>
>>> chrX_random        <NA>      FALSE   <NA>
>>> chr5_random        <NA>      FALSE   <NA>
>>> chr4_random        <NA>      FALSE   <NA>
>>> chrY               <NA>      FALSE   <NA>
>>> chr7_random        <NA>      FALSE   <NA>
>>> chr17_random       <NA>      FALSE   <NA>
>>> chr13_random       <NA>      FALSE   <NA>
>>> chr1_random        <NA>      FALSE   <NA>
>>>
>>>
>>>
>>>
>>> What am I doing wrong in my original call to makeTranscriptDbFromGFF?
>>>
>>> txdb <-makeTranscriptDbFromGFF(file = annFile, format = "gtf",
>>>                                  exonRankAttributeName = "exon_number",
>>>                                  chrominfo = chrominfo,
>>>                                  dataSource = "UCSC",
>>>                                  species = "Mus musculus")
>>>
>>> Why am I getting this unfair error message?
>>> Thank you for your help
>>> Ugo
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>> FYI, this is my annFile (My gtf  annotation file was downloaded together
>>> with a fasta file containing the mouse genome from UCSC):
>>>
>>>> annFile
>>> GRanges with 595632 ranges and 9 metadata columns:
>>>                 seqnames               ranges strand   |   source        type
>>> score     phase
>>>                    <Rle>            <IRanges>  <Rle>   | <factor>    <factor>
>>> <numeric> <integer>
>>>          [1]        chr1   [3204563, 3207049]      -   |  unknown        exon
>>> <NA>      <NA>
>>>          [2]        chr1   [3206103, 3206105]      -   |  unknown  stop_codon
>>> <NA>      <NA>
>>>          [3]        chr1   [3206106, 3207049]      -   |  unknown         CDS
>>> <NA>         2
>>>          [4]        chr1   [3411783, 3411982]      -   |  unknown         CDS
>>> <NA>         1
>>>          [5]        chr1   [3411783, 3411982]      -   |  unknown        exon
>>> <NA>      <NA>
>>>          ...         ...                  ...    ... ...      ...         ...
>>> ...       ...
>>>     [595628] chrY_random [54422360, 54422362]      +   |  unknown  stop_codon
>>> <NA>      <NA>
>>>     [595629] chrY_random [58501955, 58502946]      +   |  unknown        exon
>>> <NA>      <NA>
>>>     [595630] chrY_random [58502132, 58502812]      +   |  unknown         CDS
>>> <NA>         0
>>>     [595631] chrY_random [58502132, 58502134]      +   |  unknown start_codon
>>> <NA>      <NA>
>>>     [595632] chrY_random [58502813, 58502815]      +   |  unknown  stop_codon
>>> <NA>      <NA>
>>>                   gene_id  transcript_id    gene_name        p_id      tss_id
>>>               <character>    <character>  <character> <character> <character>
>>>          [1]         Xkr4   NM_001011874         Xkr4       P2739     TSS1881
>>>          [2]         Xkr4   NM_001011874         Xkr4       P2739     TSS1881
>>>          [3]         Xkr4   NM_001011874         Xkr4       P2739     TSS1881
>>>          [4]         Xkr4   NM_001011874         Xkr4       P2739     TSS1881
>>>          [5]         Xkr4   NM_001011874         Xkr4       P2739     TSS1881
>>>          ...          ...            ...          ...         ...         ...
>>>     [595628] LOC100039753   NM_001017394 LOC100039753      P10196    TSS19491
>>>     [595629] LOC100039614 NM_001160137_4 LOC100039614      P22060     TSS4342
>>>     [595630] LOC100039614 NM_001160137_4 LOC100039614      P22060     TSS4342
>>>     [595631] LOC100039614 NM_001160137_4 LOC100039614      P22060     TSS4342
>>>     [595632] LOC100039614 NM_001160137_4 LOC100039614      P22060     TSS4342
>>>     ---
>>>     seqlengths:
>>>              chr1        chr10        chr11        chr12 ...  chrX_random
>>> chrY  chrY_random
>>>                NA           NA           NA           NA ...           NA
>>> NA           NA
>>>
>>>
>>>> sessionInfo()
>>> R version 3.0.0 (2013-04-03)
>>> Platform: x86_64-apple-darwin10.8.0 (64-bit)
>>>
>>> locale:
>>> [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
>>>
>>> attached base packages:
>>> [1] parallel  stats     graphics  grDevices utils     datasets  methods
>>> base
>>>
>>> other attached packages:
>>>    [1] rtracklayer_1.20.1     Rbowtie_1.0.2          Rsamtools_1.12.2
>>> Biostrings_2.28.0
>>>    [5] GenomicFeatures_1.12.0 AnnotationDbi_1.22.1   Biobase_2.20.0
>>> GenomicRanges_1.12.2
>>>    [9] IRanges_1.18.0         BiocGenerics_0.6.0
>>>
>>> loaded via a namespace (and not attached):
>>>    [1] BiocInstaller_1.10.0 biomaRt_2.16.0       bitops_1.0-5
>>> BSgenome_1.28.0
>>>    [5] DBI_0.2-5            grid_3.0.0           hwriter_1.3
>>> lattice_0.20-15
>>>    [9] RCurl_1.95-4.1       RSQLite_0.11.3       ShortRead_1.18.0
>>> stats4_3.0.0
>>> [13] tools_3.0.0          XML_3.95-0.2         zlibbioc_1.6.0
>>>
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