/Benchmarking-Enzyme-Classifiers

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Benchmarking-Enzyme-Classifiers

Section 1: Steps of using the parallelization workflow

  1. Download ECpred from the website - https://github.com/cansyl/ECPred
  2. Install ECpred according to the instructions.
  3. Copy the ECPred.sh and sample_file to the directory
  4. Run the command -
./ECPred.sh sample_file
  1. To test a larger number of sequence, format the sequence according to sample_file and run the above command replacing sample_file with your file containing sequences.

Section 2: Steps of using the visualization workflow

  1. Download the Uniprot data from https://www.uniprot.org/uniprot/?query=*&fil= and name it uniprot_data.csv
  2. Format the result according to result.csv
  3. put uniprot_data.csv and result.csv in the same directory where visualization.py exists
  4. Run visualization.py
$python visualization.py
  1. For sample run, download the data from https://drive.google.com/file/d/1c-HkhGPwfzuiVNTxlx16DMlJzmGrGq6P/view?usp=sharing and extract the file in the same directory where the visulalization.py script exists. Then run the visualization.py like step 4.