OSTIR
is a
Python package for predicting the rates at which ribosomes will bind to and initiate
translation from different start codons in bacterial mRNAs. It uses the ViennaRNA Package to perform
the necessary free energy calculations. The code builds on the last open source version of the
RBS calculator.
OSTIR
includes several improvements in usability. It supports multi-FASTA
input with command line parameters or CSV input that can define
parameters on a per-sequence basis. Additionally, OSTIR
supports multi-threaded
execution, accelerating the analysis of very large sequences.
OSTIR
is a Python module and associated command line script. We recommend installing OSTIR
using Bioconda on Linux or macOS. This will automatically install OSTIR
and all of its dependencies, including ViennaRNA and the required Python modules.
From Bioconda (recommended; Linux, macOS):
conda install -c bioconda ostir
From Pip (for experts; Linux, macOS, Windows):
pip install ostir
For information on installing for development see the Wiki Documentation.
For an express run and assuming there is Docker in your system you may:
docker build . -t ostir:latest
docker run -it ostir
You should see ostir -h
output
Note: By default Dockerfile is linked to Dockerfile.miniforge so that miniforge is being used to install conda. If you want any other installer (Miniconda or Anaconda), please rename/link at your best convenience.
Print OSTIR help:
ostir -h
Run OSTIR on a sequence provided at the command line and print output to the console:
ostir -i TTCTAGATGAGAATAAGGTTATGGCGAGCTCTGAAGACGTTATCAAAGAGTTCATGCGTTTCAAAGTTCGTATGGAAGGT
Run OSTIR on all sequences provided in a FASTA file and print output to a CSV file:
ostir -i input.fasta -o output.csv
More options and examples are described in the Wiki Documentation.
Run OSTIR on a sequence inside of a Python script:
from ostir import run_ostir
seq = "ACUUCUAAUUUAUUCUAUUUAUUCGCGGAUAUGCAUAGGAGUGCUUCGAUGUCAU"
results = run_ostir(seq, name="my_sequence", threads=8)
print(results)
More options and examples are described in the Wiki Documentation.