Answers.Body: <p>My background in coding is more extensive in Python.  If you have Python skills, I can say for sure, use the Bioservices library:</p>
  <pre class="lang-py prettyprint-override"><code>from bioservices import BioMart
  </code></pre>
  <p>Install Bioservices via pip:</p>
  <pre><code>pip install bioservices
  </code></pre>
  <p>You can also use the web-based tool on Ensembl called BioMart.  It does the same thing, just easier to use if you continue to have difficulties with Python or in your case, R.  I looked up the R package for BioMart, it is called: biomaRt</p>
  <p>Here's the link for the Ensembl BioMart web-based tool if you need to use it and are in a crunch for time on your project:</p>
  <p><a href="https://useast.ensembl.org/info/data/biomart/how_to_use_biomart.html#introduction" rel="nofollow noreferrer">https://useast.ensembl.org/info/data/biomart/how_to_use_biomart.html#introduction</a></p>
  <p>I hope this helps! :)</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2023-11-15T14:57:04.080Z
Answers.LastActivityDate: 2023-11-16T20:29:27.437Z
Answers.LastEditDate: 2023-11-16T20:29:27.437Z
Answers.UserDisplayName: Rachel Sweeney
Body: <p>I wanted to use the code to convert mouse to human symbol, but I have problem with the mirror, I've tried to establish another one, but continue to have the same problem.</p>
  <pre class="lang-r prettyprint-override"><code>musGenes &lt;- c(&quot;Hmmr&quot;, &quot;Tlx3&quot;, &quot;Cpeb4&quot;)
  
  # Basic function to convert mouse to human gene names
  convertMouseGeneList &lt;- function(x){
      require(&quot;biomaRt&quot;)
      human = useMart(&quot;ensembl&quot;, dataset = &quot;hsapiens_gene_ensembl&quot;)
      mouse = useMart(&quot;ensembl&quot;, dataset = &quot;mmusculus_gene_ensembl&quot;)
      genesV2 = getLDS(attributes = c(&quot;mgi_symbol&quot;), filters = &quot;mgi_symbol&quot;, values = x , mart = mouse, attributesL = c(&quot;hgnc_symbol&quot;), martL = human, uniqueRows=T)
      humanx &lt;- unique(genesV2[, 2])
  
      # Print the first 6 genes found to the screen
      print(head(humanx))
      return(humanx)
  }
  </code></pre>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2023-11-15T14:52:48.550Z
Comments.Text: Show us the error message.
Comments.UserDisplayName: Ram RS
Tags: <r><biomart>
Title: biomarRT conversion of symbols
ThreadText: # biomarRT conversion of symbols
  
  (Asked by: username_0 on 2023-11-14)
  
  I wanted to use the code to convert mouse to human symbol, but I have problem with the mirror, I've tried to establish another one, but continue to have the same problem.
  
  ```r
  musGenes <- c("Hmmr", "Tlx3", "Cpeb4")
  
  # Basic function to convert mouse to human gene names
  convertMouseGeneList <- function(x){
      require("biomaRt")
      human = useMart("ensembl", dataset = "hsapiens_gene_ensembl")
      mouse = useMart("ensembl", dataset = "mmusculus_gene_ensembl")
      genesV2 = getLDS(attributes = c("mgi_symbol"), filters = "mgi_symbol", values = x , mart = mouse, attributesL = c("hgnc_symbol"), martL = human, uniqueRows=T)
      humanx <- unique(genesV2[, 2])
  
      # Print the first 6 genes found to the screen
      print(head(humanx))
      return(humanx)
  }
  
  ```
  
  **Tags:** r, biomart
  
  > **Comments:**
  > **username_1**: Show us the error message.  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_2 on 2023-11-15. Score: 1
  
  My background in coding is more extensive in Python. If you have Python skills, I can say for sure, use the Bioservices library:
  
  ```py
  from bioservices import BioMart
  
  ```
  
  Install Bioservices via pip:
  
  ```
  pip install bioservices
  
  ```
  
  You can also use the web-based tool on Ensembl called BioMart. It does the same thing, just easier to use if you continue to have difficulties with Python or in your case, R. I looked up the R package for BioMart, it is called: biomaRt
  
  Here's the link for the Ensembl BioMart web-based tool if you need to use it and are in a crunch for time on your project:
  
  <https://useast.ensembl.org/info/data/biomart/how_to_use_biomart.html#introduction>
  
  I hope this helps! :)
  
  
  ---
  
  