I have GRanges object (coordinates of all gene exons); coding_pos defines what is the start position of a codon in a particular exon (1 means that first nucleotide in exon is also the first nt in a codon, and so on). 
grTargetGene itself looks like this
> grTargetGene
GRanges object with 11 ranges and 7 metadata columns:
   seqnames                 ranges strand |     ensembl_ids   gene_biotype prev_exons_length coding_pos
      <Rle>              <IRanges>  <Rle> |     <character>    <character>         <numeric>  <numeric>
   [1]     chr2 [148602722, 148602776]      + | ENSG00000121989 protein_coding       0           1
   [2]     chr2 [148653870, 148654077]      + | ENSG00000121989 protein_coding       55          2
   [3]     chr2 [148657027, 148657136]      + | ENSG00000121989 protein_coding       263         3
   [4]     chr2 [148657313, 148657467]      + | ENSG00000121989 protein_coding       373         2
   [5]     chr2 [148672760, 148672903]      + | ENSG00000121989 protein_coding       528         1
   [6]     chr2 [148674852, 148674995]      + | ENSG00000121989 protein_coding       672         1
   [7]     chr2 [148676016, 148676161]      + | ENSG00000121989 protein_coding       816         1
   [8]     chr2 [148677799, 148677913]      + | ENSG00000121989 protein_coding       962         3
   [9]     chr2 [148680542, 148680680]      + | ENSG00000121989 protein_coding       1077        1
  [10]     chr2 [148683600, 148683730]      + | ENSG00000121989 protein_coding       1216        2
  [11]     chr2 [148684649, 148684843]      + | ENSG00000121989 protein_coding       1347        1
  -------
  seqinfo: 1 sequence from an unspecified genome; no seqlengths
I am interested in looking at coordinates separately for [1,2] positions in each codon and [3]. In other words, I would like to have 2 different GRanges objects that look approximately like this (here it is only the beginning)
> grTargetGene_Nonsynonym
GRanges object with X ranges and 7 metadata columns:
   seqnames                 ranges strand |     ensembl_ids   gene_biotype 
      <Rle>              <IRanges>  <Rle> |     <character>    <character> 
   [1]     chr2 [148602722, 148602723]      + | ENSG00000121989 protein_coding
   [2]     chr2 [148602725, 148602726]      + | ENSG00000121989 protein_coding
   [3]     chr2 [148602728, 148602729]      + | ENSG00000121989 protein_coding
   [4]     chr2 [148602731, 148602732]      + | ENSG00000121989 protein_coding
> grTargetGene_Synonym
GRanges object with X ranges and 7 metadata columns:
   seqnames                 ranges strand |     ensembl_ids   gene_biotype 
      <Rle>              <IRanges>  <Rle> |     <character>    <character> 
   [1]     chr2 [148602724, 148602724]      + | ENSG00000121989 protein_coding
   [2]     chr2 [148602727, 148602727]      + | ENSG00000121989 protein_coding
   [3]     chr2 [148602730, 148602730]      + | ENSG00000121989 protein_coding
   [4]     chr2 [148602733, 148602733]      + | ENSG00000121989 protein_coding
I was planning to do it through the loop that creates a set of granges for each exon according to coding_pos and strand, but I suspect there is a smarter way or maybe even a function that can do it already, but I couldn't find a simple solution.
Important: I do not need the sequence itself (the easiest way, in that case, would be to extract DNA first and then work with the sequence), but instead of doing this I only need the positions which I will use to overlap with some features.
> library("GenomicRanges")
> dput(grTargetGene)
new("GRanges"
, seqnames = new("Rle"
, values = structure(1L, .Label = "chr2", class = "factor")
, lengths = 6L
, elementMetadata = NULL
, metadata = list()
)
, ranges = new("IRanges"
, start = c(148602722L, 148653870L, 148657027L, 148657313L, 148672760L, 
148674852L)
, width = c(55L, 208L, 110L, 155L, 144L, 144L)
, NAMES = NULL
, elementType = "integer"
, elementMetadata = NULL
, metadata = list()
)
, strand = new("Rle"
, values = structure(1L, .Label = c("+", "-", "*"), class = "factor")
, lengths = 6L
, elementMetadata = NULL
, metadata = list()
)
, elementMetadata = new("DataFrame"
, rownames = NULL
, nrows = 6L
, listData = structure(list(ensembl_ids =
c("ENSG00000121989","ENSG00000121989", 
"ENSG00000121989", "ENSG00000121989", "ENSG00000121989", "ENSG00000121989"
), gene_biotype = c("protein_coding", "protein_coding", "protein_coding", 
"protein_coding", "protein_coding", "protein_coding"), cds_length =   
c(1542,1542, 1542, 1542, 1542, 1542), gene_start_position = c(148602086L, 
148602086L, 148602086L, 148602086L, 148602086L, 148602086L), 
gene_end_position = c(148688393L, 148688393L, 148688393L, 
148688393L, 148688393L, 148688393L), prev_exons_length = c(0, 
55, 263, 373, 528, 672), coding_pos = c(1, 2, 3, 2, 1, 1)), .Names =  
c("ensembl_ids", "gene_biotype", "cds_length", "gene_start_position",
"gene_end_position", 
"prev_exons_length", "coding_pos"))
, elementType = "ANY"
, elementMetadata = NULL
, metadata = list()
)
, seqinfo = new("Seqinfo"
, seqnames = "chr2"
, seqlengths = NA_integer_
, is_circular = NA
, genome = NA_character_
)
, metadata = list()
)
 
     
    