Closed Goosang-Yu closed 6 months ago
DeepPrime-Off is first and only available deep learning model for predicting off-target prime editing efficiencies for given pegRNAs.
Example:
import pandas as pd from genet.predict import DeepPrimeOff dp_off = DeepPrimeOff() dp_off.setup( features=df_features, cas_offinder_result='CML_exon_OFFinder_output.txt', ref_genome='Homo sapiens', download_fasta=True, custom_genome=None, ) df_off_retuls = dp_off.predict()
Using GetChromosome, you can easly download FASTA files for each chromosome.
from genet.database import GetChromosome chromosome = GetChromosome('Homo sapiens') chromosome.download('chr1.fna.gz')
It's written by Korean, but will be translated to English soon.
New features implemented!
DeepPrime-Off is now available!
DeepPrime-Off is first and only available deep learning model for predicting off-target prime editing efficiencies for given pegRNAs.
Example:
New functions in database: GetChromosome
Using GetChromosome, you can easly download FASTA files for each chromosome.
Jupyter tutorials for beginners
It's written by Korean, but will be translated to English soon.