text: user734: I would like to visualize this interaction list.  Is there an online/web based way to do it? Is there a way to analyze the data?
  Assuming I have exported the list into lines such as:
  2  A2M 348 APOE
  
  user48: Usually interactions are represented in a graph, with edges representing the interactions (colors, thickness or values on the edges represent different properties of those edges).
  As far as I know, there aren't on line programs to represent this kind of information. For an off line representation, you can use the igraph package in R, or Cytoscape program. 
  
  user3828: Several have mentioned the excellent Cytoscape desktop package for visualising interactions as a graph.  If you want to build your own web-based visualisations (rather than using a pre-built website to visualise them) then the Cytoscape javascript library might fulfil your needs.
  
  user690: since I am not yet allowed to comment, I will have to pots this as an answer.
  I guess Cytoscape (http://cytoscape.org/) would be a nice way to analyse such interaction lists/networks (still depends a bit on what you plan to do).
  However, for this you will have to preprocess the downloadable excel sheet a bit.
  
  save as tab-separated file (tsv)
  run the below python3 script to format into an easily importable format for cytoscape. You can run the script as python3 script.py <path-to-tsv-file> <delimeter for cytoscape> . The new format is written to std out on the console, therefore maybe you need to write the output to a new file. A sample call could look like python3 testbench.py human_interactome_2017-06-12.tsv.csv ";". Make sure to add the delimeter in quotes.
  you can then import the new file into cytoscape (import network as table) where the first column is your source, the third column your target and the middle column your interaction type.
  Within cytoscape you can then adapt your edge style to vary the line type in a discrete mapping depending on the value of the interaction.
  
  Screenshot from cytoscape:
  
  Code below:
  import sys
  
  HIIIidx = 4
  HII5idx = 5
  venkatesanidx = 6
  yuidx = 7
  Litidx = 8
  
  print(sys.argv)
  
  if len(sys.argv) <= 1:
      print("Usage: script.py file delimeter")
  
  delim = ';'
  inFile = sys.argv[1]
  
  if len(sys.argv) > 2:
      delim = sys.argv[2]
  
  
  def printInteraction(syma, symb, inter):
      print(syma + delim + inter + delim + symb)
  
  
  with open( inFile , 'r') as file:
  
      file.readline()
  
      for line in file:
  
          aline = line.strip('\n').split('\t')
  
          if aline[HIIIidx] == '1':
              printInteraction(aline[1], aline[3], 'HIII')
  
          if aline[HII5idx] == '1':
              printInteraction(aline[1], aline[3], 'HII5')
  
          if aline[venkatesanidx] == '1':
              printInteraction(aline[1], aline[3], 'VEN')
  
          if aline[yuidx] == '1':
              printInteraction(aline[1], aline[3], 'YU')
  
          if aline[Litidx] == '1':
              printInteraction(aline[1], aline[3], 'LIT')
  
  
  user298: Your list has two identifiers for the same node per line. In order to use it, you will need to change that. If you want to use the gene name (2nd and 4th fields, in your example), just run:
  awk 'print $2,$4' netw.txt > netw.gr
  
  If you want to use the Entrez geneIDs instead, run:
  awk 'print $1,$3' netw.txt > netw.gr
  
  Then, as others already mentioned, install Cytoscape, launch it and import your gene list:
  
  In the welcome screen, select "From Network File...":
  
  Then, select your network file (netw.gr in the example above) and choose "Advanced Options":
  
  Set the delimiter to SPACE and uncheck "Use first line as column names":
  
  Finally, click on the header of each column and set the first to "source node" and the second to "target node":
   
  
  
  Now, click "OK" and you will have successfully imported your network into Cytoscape. 
  
original_text: 734: <p>I would like to visualize <a href="http://interactome.dfci.harvard.edu/H_sapiens/index.php?page=shownetwork" rel="nofollow noreferrer">this</a> interaction list.  Is there an online/web based way to do it? Is there a way to analyze the data?</p>
  
  <p>Assuming I have exported the list into lines such as:</p>
  
  <p><code>2  A2M 348 APOE</code></p>
   48: <p>Usually interactions are represented in a graph, with edges representing the interactions (colors, thickness or values on the edges represent different properties of those edges).</p>
  
  <p>As far as I know, there aren't on line programs to represent this kind of information. For an off line representation, you can use the <a href="https://cran.r-project.org/package=igraph" rel="nofollow noreferrer">igraph</a> package in R, or <a href="http://www.cytoscape.org/" rel="nofollow noreferrer">Cytoscape</a> program. </p>
   3828: <p>Several have mentioned the excellent Cytoscape desktop package for visualising interactions as a graph.  If you want to build your own web-based visualisations (rather than using a pre-built website to visualise them) then the <a href="https://js.cytoscape.org/" rel="nofollow noreferrer">Cytoscape javascript library</a> might fulfil your needs.</p>
   690: <p>since I am not yet allowed to comment, I will have to pots this as an answer.</p>
  
  <p>I guess Cytoscape (<a href="http://cytoscape.org/" rel="nofollow noreferrer">http://cytoscape.org/</a>) would be a nice way to analyse such interaction lists/networks (still depends a bit on what you plan to do).</p>
  
  <p>However, for this you will have to preprocess the downloadable excel sheet a bit.</p>
  
  <ol>
  <li>save as tab-separated file (tsv)</li>
  <li>run the below python3 script to format into an easily importable format for cytoscape. You can run the script as <code>python3 script.py &lt;path-to-tsv-file&gt; &lt;delimeter for cytoscape&gt;</code> . The new format is written to std out on the console, therefore maybe you need to write the output to a new file. A sample call could look like <code>python3 testbench.py human_interactome_2017-06-12.tsv.csv ";"</code>. Make sure to add the delimeter in quotes.</li>
  <li>you can then import the new file into cytoscape (import network as table) where the first column is your source, the third column your target and the middle column your interaction type.</li>
  <li>Within cytoscape you can then adapt your edge style to vary the line type in a discrete mapping depending on the value of the interaction.</li>
  </ol>
  
  <p>Screenshot from cytoscape:
  <a href="https://i.stack.imgur.com/FlSN5.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/FlSN5.png" alt="Cytoscape screenshot"></a></p>
  
  <p>Code below:</p>
  
  <pre><code>import sys
  
  HIIIidx = 4
  HII5idx = 5
  venkatesanidx = 6
  yuidx = 7
  Litidx = 8
  
  print(sys.argv)
  
  if len(sys.argv) &lt;= 1:
      print("Usage: script.py file delimeter")
  
  delim = ';'
  inFile = sys.argv[1]
  
  if len(sys.argv) &gt; 2:
      delim = sys.argv[2]
  
  
  def printInteraction(syma, symb, inter):
      print(syma + delim + inter + delim + symb)
  
  
  with open( inFile , 'r') as file:
  
      file.readline()
  
      for line in file:
  
          aline = line.strip('\n').split('\t')
  
          if aline[HIIIidx] == '1':
              printInteraction(aline[1], aline[3], 'HIII')
  
          if aline[HII5idx] == '1':
              printInteraction(aline[1], aline[3], 'HII5')
  
          if aline[venkatesanidx] == '1':
              printInteraction(aline[1], aline[3], 'VEN')
  
          if aline[yuidx] == '1':
              printInteraction(aline[1], aline[3], 'YU')
  
          if aline[Litidx] == '1':
              printInteraction(aline[1], aline[3], 'LIT')
  </code></pre>
   298: <p>Your list has two identifiers for the same node per line. In order to use it, you will need to change that. If you want to use the gene name (2nd and 4th fields, in your example), just run:</p>
  
  <pre><code>awk 'print $2,$4' netw.txt &gt; netw.gr
  </code></pre>
  
  <p>If you want to use the Entrez geneIDs instead, run:</p>
  
  <pre><code>awk 'print $1,$3' netw.txt &gt; netw.gr
  </code></pre>
  
  <p>Then, as others already mentioned, install <a href="http://cytoscape.org/" rel="nofollow noreferrer"><code>Cytoscape</code></a>, launch it and import your gene list:</p>
  
  <ol>
  <li><p>In the welcome screen, select "From Network File...":</p>
  
  <p><a href="https://i.stack.imgur.com/EeYPU.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/EeYPU.png" alt="Cytoscape welcome screen"></a></p></li>
  <li><p>Then, select your network file (<code>netw.gr</code> in the example above) and choose "Advanced Options":</p>
  
  <p><a href="https://i.stack.imgur.com/nDM2t.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/nDM2t.png" alt="Advanced options"></a></p></li>
  <li><p>Set the delimiter to SPACE and uncheck "Use first line as column names":</p>
  
  <p><a href="https://i.stack.imgur.com/YOnzG.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/YOnzG.png" alt="select the delimiter"></a></p></li>
  <li><p>Finally, click on the header of each column and set the first to "source node" and the second to "target node":</p>
  
  <p><a href="https://i.stack.imgur.com/pUBYI.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/pUBYI.png" alt="source node"></a>  </p>
  
  <p><a href="https://i.stack.imgur.com/LbSm3.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/LbSm3.png" alt="target node"></a></p></li>
  </ol>
  
  <p>Now, click "OK" and you will have successfully imported your network into Cytoscape. </p>
  