Answers.Body: <p><strong>To recover orthologous sequence for model species</strong></p>
  <p>You should be able to find your orthologs using <a href="https://m.ensembl.org/info/data/biomart/index.html" rel="nofollow noreferrer">BioMart</a> and your gene IDs.</p>
  <p>There are numerous way to do it, directly on the ensembl website or through API. You can start from these links (quite old though) :</p>
  <ul>
  <li><a href="http://www.ensembl.info/2009/01/21/how-to-get-all-the-orthologous-genes-between-two-species/" rel="nofollow noreferrer">http://www.ensembl.info/2009/01/21/how-to-get-all-the-orthologous-genes-between-two-species/</a></li>
  <li><a href="https://www.youtube.com/watch?v=EwfOQsr2O-M" rel="nofollow noreferrer">https://www.youtube.com/watch?v=EwfOQsr2O-M</a> #Get orthologs via BioMart</li>
  <li><a href="https://www.biostars.org/p/12245/" rel="nofollow noreferrer">https://www.biostars.org/p/12245/</a> #Finding Human/Yeast Orthologs Using Embl?</li>
  </ul>
  <p><strong>Which database should I use</strong></p>
  <p>It is broad and depends on the nature of your work. In your case, working with &quot;major model species&quot;, <strong>DIOPT</strong> (the first line of the table in Quest For Orthology) has the very feature you need on its front page for going from mouse to human. More eukaryotic/viral oriented database will be used for taxonomic identification, annotation inference, etc.</p>
  <p>I hope it helps.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2020-09-03T23:55:34.323Z
Answers.Text: Thanks a lot Paul!
Answers.UserDisplayName: Noob
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2020-08-26T14:29:45.273Z
Answers.LastActivityDate: 2020-08-26T16:41:27.953Z
Answers.LastEditDate: 2020-08-26T16:41:27.953Z
Answers.UserDisplayName: Paul Endymion
Body: <p>I am working on four data sets of yeast genes and one data set of mouse gene. I need the list of human orthologs of those genes. There are a lot of databases available online which is in use for this purpose</p>
  <p><a href="https://questfororthologs.org/orthology_databases" rel="nofollow noreferrer">https://questfororthologs.org/orthology_databases</a></p>
  <p>I don't know which one to choose and why. Can anyone tell me on what basis should I choose a database over any other database? Thank you.</p>
  
Tags: <orthologues>
Title: How to know which ortholog database is the best for my work?
ThreadText: # How to know which ortholog database is the best for my work?
  
  (Asked by: username_0 on 2020-08-25)
  
  I am working on four data sets of yeast genes and one data set of mouse gene. I need the list of human orthologs of those genes. There are a lot of databases available online which is in use for this purpose
  
  <https://questfororthologs.org/orthology_databases>
  
  I don't know which one to choose and why. Can anyone tell me on what basis should I choose a database over any other database? Thank you.
  
  **Tags:** orthologues
  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2020-08-26. Score: 0 | Accepted answer
  
  **To recover orthologous sequence for model species**
  
  You should be able to find your orthologs using [BioMart](https://m.ensembl.org/info/data/biomart/index.html) and your gene IDs.
  
  There are numerous way to do it, directly on the ensembl website or through API. You can start from these links (quite old though) :
  
  * <http://www.ensembl.info/2009/01/21/how-to-get-all-the-orthologous-genes-between-two-species/>
  * <https://www.youtube.com/watch?v=EwfOQsr2O-M> #Get orthologs via BioMart
  * <https://www.biostars.org/p/12245/> #Finding Human/Yeast Orthologs Using Embl?
  
  **Which database should I use**
  
  It is broad and depends on the nature of your work. In your case, working with "major model species", **DIOPT** (the first line of the table in Quest For Orthology) has the very feature you need on its front page for going from mouse to human. More eukaryotic/viral oriented database will be used for taxonomic identification, annotation inference, etc.
  
  I hope it helps.
  
  > **Comments:**
  > **username_0**: Thanks a lot username_1!  
  
  ---
  
  