PreKO 0.1.0

PreKO: Precise KO system

PreKO: Precise KO system

Analysis pipeline for PreKO project

InDelSearcher: Cas9 nuclease indel analyzer

InDelSearcher는 target sequence에서 indel frequency를 분석하고 계산해주는 파이프라인이다. 특히, high-throughput screening 데이터에서 barcode에 따른 indel frequency를 분석하는 것에 특화되어 있다.

분석을 위해서, 아래와 같이 barcode와 target sequence 정보가 담긴 csv 파일이 필요하다.

Barcode	Target_region	Reference_sequence
TTTGCTGTGAGCACTGCTG	TTGTGAACATAGATCCATTTTTCTTGG	CTTGAAAAAGTGGCACCGAGTCGGTGCTTTTTTNNNNNNNNTTTGCTGTGAGCACTGCTGT
TTTGGACGTCATAGTGAGA	TCCAGATAGTCATCAACTTTTTGTTGG	CTTGAAAAAGTGGCACCGAGTCGGTGCTTTTTTNNNNNNNNTTTGGACGTCATAGTGAGAT
TTTGGCTATCTGCACGTGC	GTGGGGGGCCTGGGGCCTGGAGCCTGG	CTTGAAAAAGTGGCACCGAGTCGGTGCTTTTTTNNNNNNNNTTTGGCTATCTGCACGTGCG
TTTGATGCGCATCTCTACG	CCCAGGCAAAACTGCAGTTTTACCTGG	CTTGAAAAAGTGGCACCGAGTCGGTGCTTTTTTNNNNNNNNTTTGATGCGCATCTCTACGC
TTTGACTCGAGTCTCTCAC	ACGAGGTGGCCCTGGGGGGCCCCCTGG	CTTGAAAAAGTGGCACCGAGTCGGTGCTTTTTTNNNNNNNNTTTGACTCGAGTCTCTCACA

barcode 파일과 분석할 FASTQ 파일이 있다면, InDelSearcher를 이용한 분석을 할 수 있다.

import pandas as pd
from preko.indel import InDelSearcher

# Setting: required information
strFq       = 'test/12K_H840A_n1_100K.fastq'
barcode     = 'test/12K_H840A_info.csv'
sample_name = 'IDS_test'

ids = InDelSearcher()

# Run and show summary
df_summary = ids.run(strFq=strFq, barcode=barcode, sample_name=sample_name)
df_summary

Environments

These codes were tested in Ubuntu 22.04 LTS environments.

Requirements

• Python >= 3.8
• biopython
• pandas
• numpy
• pydantic
• tqdm