calculate total transcript length from DisjointExons output (Genomic Ranges Object)
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wd ▴ 30
@wd-7410
Last seen 4.7 years ago
Germany

Hi

I used the disjointExons function (from the GenomicFeatures package) to extract the non-overlapping exon parts from a TxDb object

disjoint_exons<-disjointExons(txdb,includeTranscripts=TRUE)

resulting in the following Granges object (yellow shaded)

GRanges object with 65726 ranges and 3 metadata columns:
             seqnames         ranges strand   |         gene_id         tx_name
                <Rle>      <IRanges>  <Rle>   | <CharacterList> <CharacterList>
      [1]  scaffold_1 [ 6883,  7179]      +   |   tetur01g00010 tetur01g00010.1
      [2]  scaffold_1 [ 7271,  7355]      +   |   tetur01g00010 tetur01g00010.1
      [3]  scaffold_1 [18549, 18719]      +   |   tetur01g00010 tetur01g00010.1
      [4]  scaffold_1 [21717, 22421]      +   |   tetur01g00010 tetur01g00010.1
      [5]  scaffold_1 [23525, 24190]      +   |   tetur01g00030 tetur01g00030.1
      ...         ...            ...    ... ...             ...             ...
  [65722] scaffold_99 [ 8664,  8967]      -   |   tetur99g00020 tetur99g00020.1

exonic_part
            <integer>
      [1]           1
      [2]           2
      [3]           3
      [4]           4
      [5]           1
      ...         ...
  [65722]           2

Based on this Granges object I would like to calculate the total transcript length for each gene_id in elementMetadata (teturxxgxxxx)?

I tried to convert the Granges object to a txdb object (using makeTxDbFromGRanges) in order to use transcriptLength but that gave an error (Error in .get_type(gr_mcols) : 'gr' must have a "type" metadata column)

Any help would be much appreciated!

 

 

genomicfeatures non overlapping exons genomicranges granges • 1.4k views
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@michael-lawrence-3846
Last seen 3.0 years ago
United States

If the exonic length of every gene is all you care about, then it is easier to just:

sum(width(reduce(exonsBy(txdb, "gene"))))
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Thank you Michael for the quick reply.

However, I would like to have the exonic length of every gene, but excluding overlap of exons with neighbouring genes.

Wannes

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Ok, then you just need to split the widths by gene (after dropping to a vector) and sum them:

with(disjoint_exons, sum(splitAsList(width, drop(gene_id))))

That is probably the fastest way, but there are others, like this:

with(disjoint_exons, xtabs(width ~ drop(gene_id))

Also these now work in devel:

aggregate(disjoint_exons, width ~ drop(gene_id), sum)
xtabs(width ~ drop(gene_id), ex)
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Thank you, that worked!

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