Skip to content

Latest commit

 

History

History
17 lines (11 loc) · 762 Bytes

README.md

File metadata and controls

17 lines (11 loc) · 762 Bytes

scvep

Super Cereal VEP

Annotation-free variant effect prediction for, well, unannotated reference genomes/transcriptomes.

Requires ktio library: pip install ktio (--target /path/to/scvep IFF no root/superuser access/own python environment on system) and a local blast+ installation, i.e. blastx in path

Installation

  1. git clone https://github.com/krasileva-group/scvep.git
  2. cd scvep
  3. pip install -e .

Usage

  1. Build reference database for target organism/family etc., according to the example in prepare_db.sh
  2. Run with python scvep.py (or after installation with pip with scvep) <snps.vcf> <scaffolds.fasta> </path/to/reference_db>. scvep will generate two tables, a) unfiltered blast output and b) predictions on filtered blast hits.