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Python pakcage for genomic variant analysis

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pip install variant

๐Ÿงฌ variant motif subcommand can fetch motif sequence around given site.

 Usage: variant motif [OPTIONS]                                                                           
                                                                                                          
 Fetch genomic motif.                                                                                     
                                                                                                          
โ•ญโ”€ Options โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
โ”‚    --input        -i  TEXT  Input position file.                          โ”‚
โ”‚    --output       -o  TEXT  Output annotation file.                       โ”‚
โ”‚ *  --fasta        -f  TEXT  reference fasta file. [required]              โ”‚
โ”‚    --npad         -n  TEXT  Number of padding base to call motif. If you  โ”‚
โ”‚                             want to set different left and right pads,    โ”‚
โ”‚                             use comma to separate them. (eg. 2,3)         โ”‚
โ”‚    --with-header  -H        With header line in input file.               โ”‚
โ”‚    --columns      -c  TEXT  Sets columns for site info.                   โ”‚
โ”‚                             (Chrom,Pos,Strand)                            โ”‚
โ”‚                             [default: 1,2,3]                              โ”‚
โ”‚    --to-upper     -u        Convert motif to upper case.                  โ”‚
โ”‚    --wrap-site    -w        Wrap motif site.                              โ”‚
โ”‚    --help         -h        Show this message and exit.                   โ”‚
โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ

demo:

I would like to get the 2 bases before the given sites, and 3 bases after the given sites, meanwhile, wrap the give sites with bracket. Moreover, the strand information should be taken into account.

use -n 2,3 -w

๐Ÿงซ variant effect subcommand can infer the effect of a mutation

 Usage: variant effect [OPTIONS]                                                                          
                                                                                                          
 Annotation genomic variant effect.                                                                       
                                                                                                          
โ•ญโ”€ Options โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
โ”‚ --input                 -i  TEXT     Input position file.                 โ”‚
โ”‚ --output                -o  TEXT     Output annotation file               โ”‚
โ”‚ --reference             -r  TEXT     reference species                    โ”‚
โ”‚ --reference-gtf             TEXT     Customized reference gtf file.       โ”‚
โ”‚ --reference-transcript      TEXT     Customized reference transcript      โ”‚
โ”‚                                      fasta file.                          โ”‚
โ”‚ --reference-protein         TEXT     Customized reference protein fasta   โ”‚
โ”‚                                      file.                                โ”‚
โ”‚ --reference-mapping         TEXT     Mapping file for chrom name, first   โ”‚
โ”‚                                      column is chrom in the input, second โ”‚
โ”‚                                      column is chrom in the reference db  โ”‚
โ”‚                                      (sep by tab)                         โ”‚
โ”‚ --release               -e  INTEGER  ensembl release                      โ”‚
โ”‚ --strandness            -s           Use strand infomation or not?        โ”‚
โ”‚ --pU-mode               -u           Make rRNA, tRNA, snoRNA into top     โ”‚
โ”‚                                      priority.                            โ”‚
โ”‚ --npad                  -n  INTEGER  Number of padding base to call       โ”‚
โ”‚                                      motif.                               โ”‚
โ”‚ --all-effects           -a           Output all effects.                  โ”‚
โ”‚ --with-header           -H           With header line in input file.      โ”‚
โ”‚ --columns               -c  TEXT     Sets columns for site info.          โ”‚
โ”‚                                      (Chrom,Pos,Strand,Ref,Alt)           โ”‚
โ”‚                                      [default: 1,2,3,4,5]                 โ”‚
โ”‚ --help                  -h           Show this message and exit.          โ”‚
โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ

demo:

Store the following table in file (sites.tsv).

Chrom Position Strand Ref Alt
chr1 230703034 - C T
chr12 69353439 + A T
chr14 23645352 + G T
chr2 215361150 - A T
chr2 84906537 + C T
chr22 39319077 - T A
chr22 39319095 - T A
chr22 39319098 - T A

Run command:

variant-effect -i sites.tsv -H -r human -e 108 -t RNA -H -c 1,2,3
  • -i specify the input file
  • -H means the file is with header line, and the first row will be skipped;
  • -r use the specific genome, default is human
  • -e specify the Ensembl release version
  • -c means only use some of the columns in the input file. default will use the first 5 columns.

You will have this output

Chrom Position Strand Ref Alt mut_type gene_type gene_name gene_pos transcript_name transcript_pos transcript_motif coding_pos codon_ref aa_pos aa_ref distance2splice
chr1 230703034 - C T ThreePrimeUTR protein_coding ENSG00000135744(AGT) 42543 ENST00000680041(AGT-208) 1753 TGTGTCACCCCCAGTCTCCCA None None None None 295
chr12 69353439 + A T ThreePrimeUTR protein_coding ENSG00000090382(LYZ) 5059 ENST00000261267(LYZ-201) 695 TAGAACTAATACTGGTGAAAA None None None None 286
chr14 23645352 + G T ThreePrimeUTR protein_coding ENSG00000100867(DHRS2) 15238 ENST00000344777(DHRS2-202) 1391 CTGCCATTCTGCCAGACTAGC None None None None 210
chr2 215361150 - A T ThreePrimeUTR protein_coding ENSG00000115414(FN1) 74924 ENST00000323926(FN1-201) 8012 GGCCCGCAATACTGTAGGAAC None None None None 476
chr2 84906537 + C T ThreePrimeUTR protein_coding ENSG00000034510(TMSB10) 882 ENST00000233143(TMSB10-201) 327 CCTGGGCACTCCGCGCCGATG None None None None 148
chr22 39319077 - T A Intronic protein_coding ENSG00000100316(RPL3) 1313 ENST00000216146(RPL3-201) None None None None None None None
chr22 39319095 - T A Intronic protein_coding ENSG00000100316(RPL3) 1295 ENST00000216146(RPL3-201) None None None None None None None
chr22 39319098 - T A Intronic protein_coding ENSG00000100316(RPL3) 1292 ENST00000216146(RPL3-201) None None None None None None None

โณโณโณ more functions will be supported in the future

TODO:

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