To work with LOGAN Search data, see slide 35 of Rayan Chikhi | Project Logan Assembling all public sequencing data | CGSI 2024 (around 20.32 minute mark), need awscli and zst installed
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def collect_time_info(input_text_filepath): | |
''' | |
Take the entire row of columns and return that row of columns plus extra | |
columns with the details gleaned from timestamps in the the corresponding | |
`logs/???????_<accession>.out` | |
''' | |
with open(input_text_filepath, 'r') as thelog_stdout_file: | |
std_out_string=thelog_stdout_file.read() | |
# with std_out log read in, parse it for the informaiton in the three timestamps | |
start_ts = std_out_string.split('Current timestamp at start: ')[1].split('\n')[0].strip() |
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import pandas as pd | |
import numpy as np | |
import matplotlib as mpl | |
import re | |
df = pd.DataFrame({ | |
"Gene_name": ["sdsR", "arrS","gadF"], | |
"Genes_in_same_transcription_unit": ['pphA, sdsR', 'arrS','mdtF, mdtE, gadF, gadE'], | |
}) | |
# Convert Gene_name column to a set for quick lookup |
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