Skip to content

Gut metagenomic K-mer signature outperforms Akkermansia muciniphila and taxonomy for predicting immunotherapy response in non-small cell lung cancer

Notifications You must be signed in to change notification settings

xuan13hao/kmer_prediction_nsclc

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

K-mer-prediction

This is the code associated with the publication ~

prerequisite

We have provided the processed data which if downloaded from https://cbb.ittc.ku.edu/software/kmer/data.zip, you should just copy-paste the link to any web browser and start downloading. You will need to install the following Python 3.7.9 packages to replicate our findings.

  1. scikit-learn==0.24.2
  2. numpy==1.21.6
  3. pandas==1.3.5
  4. scipy==1.7.3

If you want to replicate our findings from scratch, you should install the following software as well.

  1. FastQC (v0.11.8)
  2. Trimmomatic (0.38)
  3. Fiona (0.2.10)
  4. BWA (0.7.16a-r1185-dirty)
  5. MetaPhlAn (version 4.0.3)
  6. UProC (1.2.0)
  7. KMC3 (3.2.1)

You are strongly suggested to install SRAtools to download the raw data from SRA, but it's not mandatory, find more details from ~/preprocess

About

Gut metagenomic K-mer signature outperforms Akkermansia muciniphila and taxonomy for predicting immunotherapy response in non-small cell lung cancer

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published