CDS coordinates to hg19 positions
Hello,
By some ill fortune, I was given some CDS coordinates of a gene, say FOO c.1234. Is there a robust way to convert this into hg19 coordinates?
- Yes, they didn't even mention what transcript they were using. But I can guess.
- I know I can use Ensemble REST API to convert CDS coordinates into hg38 positions, and then liftover to hg19. But my gut feeling is there must be something better than this approach.
Any suggestion is much appreciated!
Jing
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> library(Homo.sapiens) # from BioConductor
> cds(TxDb.Hsapiens.UCSC.hg19.knownGene, columns=c('CDSID', 'GENEID'))
GRanges object with 237533 ranges and 2 metadata columns:
seqnames ranges strand | CDSID GENEID
<Rle> <IRanges> <Rle> | <integer> <CharacterList>
[1] chr1 [ 12190, 12227] + | 1 100287102
[2] chr1 [ 12595, 12721] + | 2 100287102
[3] chr1 [ 13403, 13639] + | 3 100287102
[4] chr1 [ 69091, 70008] + | 4 79501
[5] chr1 [324343, 324345] + | 5 100133331,100132062
... ... ... ... ... ... ...
[237529] chrUn_gl000228 [30530, 31035] - | 237529 100288255
[237530] chrUn_gl000228 [31353, 31430] - | 237530 100288255
[237531] chrUn_gl000228 [31660, 31734] - | 237531 100288255
[237532] chrUn_gl000228 [31660, 31737] - | 237532 100288255
[237533] chrUn_gl000228 [31996, 32173] - | 237533 100288255
-------
seqinfo: 93 sequences (1 circular) from hg19 genome
You can then use subsetByOverlaps or other GRanges functions to intersect it with your data.
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