Skip to main content

No project description provided

Project description

Python pakcage for genomic variant analysis

Pypi Releases Downloads

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).

chr1 230703034 - C T
chr2 215361150 - A T
chr2 84906537 + C T
chr3 10301112 - G T
chr3 20301112 - G T
chr7 45893389 + G T
chr7 94669540 + G N
chr12 69353439 + A T
chr14 23645352 + G T

Run command variant-effect -i sites.tsv -r human -e 106 -t RNA to get the following output.

#chrom pos strand ref alt mut_type gene_name gene_pos transcript_name transcript_pos transcript_motif coding_pos codon_ref aa_pos aa_ref distance2splice
chr1 230703034 - G A ThreePrimeUTR ENSG00000135744(AGT) 42543 ENST00000680041(AGT-208) 1753 TGTGTCACCCCCAGTCTCCCA None None None None 295
chr2 215361150 - T A ThreePrimeUTR ENSG00000115414(FN1) 74924 ENST00000323926(FN1-201) 8012 GGCCCGCAATACTGTAGGAAC None None None None 476
chr2 84906537 + C T ThreePrimeUTR ENSG00000034510(TMSB10) 882 ENST00000233143(TMSB10-201) 327 CCTGGGCACTCCGCGCCGATG None None None None 148
chr3 10301112 - C A Silent ENSG00000157020(SEC13) 20001 ENST00000397117(SEC13-209) 1441 TTGATCATCTGCCTTAACGTG 849 CTG 283 L 35
chr3 20301112 - C A Intergenic None None None None None None None None None None
chr7 45893389 + G T ThreePrimeUTR ENSG00000146678(IGFBP1) 5030 ENST00000275525(IGFBP1-201) 1243 CAAAGCTCCTGCGTCTGTTTT None None None None 429
chr7 94669540 + G N ThreePrimeUTR ENSG00000242265(PEG10) 13216 ENST00000612941(PEG10-206) 6240 TTTTACCCCTGTCAGTAGCCC None None None None 5030
chr12 69353439 + A T ThreePrimeUTR ENSG00000090382(LYZ) 5059 ENST00000261267(LYZ-201) 695 TAGAACTAATACTGGTGAAAA None None None None 286
chr14 23645352 + G T ThreePrimeUTR ENSG00000100867(DHRS2) 15238 ENST00000344777(DHRS2-202) 1391 CTGCCATTCTGCCAGACTAGC None None None None 210

TODO:

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

variant-0.0.41.tar.gz (7.8 kB view details)

Uploaded Source

Built Distribution

variant-0.0.41-py3-none-any.whl (8.1 kB view details)

Uploaded Python 3

File details

Details for the file variant-0.0.41.tar.gz.

File metadata

  • Download URL: variant-0.0.41.tar.gz
  • Upload date:
  • Size: 7.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.3.2 CPython/3.10.9 Darwin/22.1.0

File hashes

Hashes for variant-0.0.41.tar.gz
Algorithm Hash digest
SHA256 d6899142aedcf732e63d7ea8dab91dc36546854ec8f99b0a5c0d08f13bf6dfec
MD5 49f83237c9d1cd55f3cd2f3615af6ddd
BLAKE2b-256 97241aab2a3105b57fa9b6670b1ff9d7ca71e0647dfaae6ba39e33b67fd78c86

See more details on using hashes here.

File details

Details for the file variant-0.0.41-py3-none-any.whl.

File metadata

  • Download URL: variant-0.0.41-py3-none-any.whl
  • Upload date:
  • Size: 8.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.3.2 CPython/3.10.9 Darwin/22.1.0

File hashes

Hashes for variant-0.0.41-py3-none-any.whl
Algorithm Hash digest
SHA256 aa8c0285d021a1b06f1e463f5135596d15719236df0e9be30da7a9168d4c86eb
MD5 bb8a68e87a15a84e86507fceb73f7d27
BLAKE2b-256 c547208d1400c7b067a1c5d88650447c312874c24ede2495463e2ce57a244a98

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page