Update README.md

README.md

@@ -19,6 +19,8 @@ Before running Effector-GAN, users should make sure all the following packages a
    
    ` export PATH=$PATH:/xxxx/xxxx/xxxxx/iFeature`
    
+   `source ~/.bashrc`
+ 
 ## **Installation**
 
   **Create an Python3.7 environment using conda:**
@@ -31,13 +33,19 @@ Before running Effector-GAN, users should make sure all the following packages a
   
  ** For python3.7 **
  
-  **If you have GPU  # CUDA 9.2**
+   **pytorch: https://pytorch.org/get-started/previous-versions/**
    
-  `pip install torch==1.2.0 torchvision==0.4.0 `
+    **# CUDA 10.0**
+    
+    conda install pytorch==1.2.0 torchvision==0.4.0 cudatoolkit=10.0 -c pytorch
+    
+    **# CPU Only**
     
-  **If you have GPU CUDA 10.0  **
+    conda install pytorch==1.2.0 torchvision==0.4.0 cpuonly -c pytorch
   
-  `pip install torch==1.2.0+cu92 torchvision==0.4.0+cu92 -f https://download.pytorch.org/whl/torch_stable.html`
+    **If you have GPU  # CUDA 10.0**
+  
+    `pip install torch==1.2.0 torchvision==0.4.0 `
   
     **CPU Only python3.7**
     
@@ -49,23 +57,27 @@ Before running Effector-GAN, users should make sure all the following packages a
     pip3 install tape_proteins==0.4 
     pip3 install numpy==1.19.2 
     pip3 install pandas==1.2.0 
-    pip3 install Bio==0.4.1 
+    pip3 install Bio==1.0.2
     pip3 install sklearn
 
 
 ## **Effector-GAN**
 
-  `git@47.109.24.44:wangys_biolab/effector-gan.git`
+    `git clone http://47.109.24.44:4747/wangys_biolab/effector-gan.git`
+  
+    cd effector-gan
 
 ## Input parameters
 
-    Effector-GAN.py -h  
+    python Effector_GAN.py -h  
     $ -i  inputfile in FASTA format  
-    $ -o  output folder
+    $ -o  output csv file
  
 ### usage
 
-  `Effector-GAN.py -i test.fasta -o test_result.csv ` 
+    conda activate Effector-GAN
+    
+  `python Effector_GAN.py -i independent_test_pos.fasta -o test_result.csv ` 
      `
 
 ## WGAN.py