Body: <p>What is the quickest way to calculate the number of chemical reactions present in each pathway for a given organism and which online database such as <a href="https://www.google.co.uk/url?sa=t&amp;source=web&amp;rct=j&amp;url=https://www.genome.jp/kegg/pathway.html&amp;ved=2ahUKEwiI9L6GguXqAhXoQhUIHduBCAQQFjAAegQIAhAB&amp;usg=AOvVaw2QyaydXTKesFiTDlhfFLeU" rel="nofollow noreferrer">Kegg</a>, <a href="https://www.google.co.uk/url?sa=t&amp;source=web&amp;rct=j&amp;url=https://metacyc.org/&amp;ved=2ahUKEwj3ut-YguXqAhW4URUIHeufDZwQFjAAegQIAhAB&amp;usg=AOvVaw1LIpPmxAfCLf4Ppt2OgKiw" rel="nofollow noreferrer">MetaCyc</a>,<a href="https://www.google.co.uk/url?sa=t&amp;source=web&amp;rct=j&amp;url=https://reactome.org/&amp;ved=2ahUKEwj348CtguXqAhVCXRUIHX24DhMQFjAAegQIChAD&amp;usg=AOvVaw28zRp8yw0zw_85-RfQX1so" rel="nofollow noreferrer">Reactome</a> is more helpful/reliable for this type of statistics?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-08-05T15:23:07.350Z
Comments.Text: Hello, I think "present" is too ambitious here. I guess "known" is the best you can hope for. But I have not looked at the network data for a while, so I am not sure where is the knowledge now.
Comments.UserDisplayName: Kamil S Jaron
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-08-05T16:02:40.230Z
Comments.Text: Agreed. However I need to run a global statistics on the number of "known" reactions per pathway...clearly I expect some bias.
Comments.UserDisplayName: MMphysics
Tags: <python><r><pathway><api><kegg>
Title: Number of reactions per metabolic pathway
ThreadText: # Number of reactions per metabolic pathway
  
  (Asked by: username_0 on 2019-08-05)
  
  What is the quickest way to calculate the number of chemical reactions present in each pathway for a given organism and which online database such as [Kegg](https://www.google.co.uk/url?sa=t&source=web&rct=j&url=https://www.genome.jp/kegg/pathway.html&ved=2ahUKEwiI9L6GguXqAhXoQhUIHduBCAQQFjAAegQIAhAB&usg=AOvVaw2QyaydXTKesFiTDlhfFLeU), [MetaCyc](https://www.google.co.uk/url?sa=t&source=web&rct=j&url=https://metacyc.org/&ved=2ahUKEwj3ut-YguXqAhW4URUIHeufDZwQFjAAegQIAhAB&usg=AOvVaw1LIpPmxAfCLf4Ppt2OgKiw),[Reactome](https://www.google.co.uk/url?sa=t&source=web&rct=j&url=https://reactome.org/&ved=2ahUKEwj348CtguXqAhVCXRUIHX24DhMQFjAAegQIChAD&usg=AOvVaw28zRp8yw0zw_85-RfQX1so) is more helpful/reliable for this type of statistics?
  
  **Tags:** python, r, pathway, api, kegg
  
  > **Comments:**
  > **username_1**: Hello, I think "present" is too ambitious here. I guess "known" is the best you can hope for. But I have not looked at the network data for a while, so I am not sure where is the knowledge now.  
  > **username_0**: Agreed. However I need to run a global statistics on the number of "known" reactions per pathway...clearly I expect some bias.  
  
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  ## 0 answers
  
  