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Project description
Python pakcage for genomic variant analysis
How to use?
pip install variant
- run
variant-effect
in the command line - more functions will be supported in the future
variant-effect
command can infer the effect of a mutation
Usage: variant-effect [OPTIONS]
Variant (genomic variant analysis in python)
╭─ Options ────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ --input -i TEXT Input position file. │
│ --output -o TEXT Output annotation file │
│ --reference -r TEXT reference species │
│ --reference-gtf TEXT Customized reference gtf file. │
│ --reference-transcript TEXT Customized reference transcript fasta file. │
│ --reference-protein TEXT Customized reference protein fasta file. │
│ --release -e INTEGER ensembl release │
│ --type -t [DNA|RNA] (deprecated) │
│ --strandness -s Use strand infomation or not? │
│ --pU-mode -u Make rRNA, tRNA, snoRNA into top priority. │
│ --npad -n INTEGER Number of padding base to call motif. │
│ --all-effects -a Output all effects. │
│ --with-header -H With header line in input file. │
│ --columns -c TEXT Sets columns for site info. (Chrom,Pos,Strand,Ref,Alt) [default: 1,2,3,4,5] │
│ --help -h Show this message and exit. │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
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 |
TODO:
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