Answers.Body: <p>If you want <em>all</em> known mouse protein coding genes, you can get the list from <a href="https://www.ensembl.org/biomart" rel="nofollow noreferrer">Ensembl's BioMart</a>.</p>
  <p>First, select the mouse genome:</p>
  <p><a href="https://i.sstatic.net/Ohjp3.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/Ohjp3.png" alt="BioMart screenshot" /></a></p>
  <p>Then, in &quot;Filters&quot; limit to protein coding genes only:</p>
  <p><a href="https://i.sstatic.net/ovrFs.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/ovrFs.png" alt="BioMart screenshot" /></a></p>
  <p>And next, choose &quot;Gene name&quot; and, to have a more standardized and stable name and to ensure that you get allr esults (not all genes have a &quot;name&quot;, but they will all have IDs), include the &quot;Gene stable ID&quot;:</p>
  <p><a href="https://i.sstatic.net/pZpLA.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/pZpLA.png" alt="BioMart screenshot" /></a></p>
  <p>Finally, click on &quot;Results&quot;:</p>
  <p><a href="https://i.sstatic.net/mNF5M.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/mNF5M.png" alt="BioMart Screenshot" /></a></p>
  <p>Select &quot;File&quot; and &quot;CSV&quot; and then click on &quot;Go&quot; to download the list:</p>
  <p><a href="https://i.sstatic.net/Y1QM3.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/Y1QM3.png" alt="BioMart screenshot" /></a></p>
  <p>The end result is a file like this:</p>
  <pre><code>Gene stable ID,Gene name
  ENSMUSG00000064341,mt-Nd1
  ENSMUSG00000064345,mt-Nd2
  ENSMUSG00000064351,mt-Co1
  ENSMUSG00000064354,mt-Co2
  ENSMUSG00000064356,mt-Atp8
  ENSMUSG00000064357,mt-Atp6
  ENSMUSG00000064358,mt-Co3
  ENSMUSG00000064360,mt-Nd3
  ENSMUSG00000065947,mt-Nd4l
  ENSMUSG00000064363,mt-Nd4
  ENSMUSG00000064367,mt-Nd5
  ENSMUSG00000064368,mt-Nd6
  ENSMUSG00000064370,mt-Cytb
  ENSMUSG00000095019,
  ENSMUSG00000094915,
  ENSMUSG00000095041,
  ENSMUSG00000095666,
  ENSMUSG00000094741,Pramel39
  </code></pre>
  <p>With 21849 gene IDs, of which 21772 have a &quot;name&quot; as well.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2023-03-09T19:17:23.300Z
Answers.Text: Thanks, @RamRS, I blame my years living in France! :)
Answers.UserDisplayName: terdon
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2023-03-09T09:31:04.740Z
Answers.LastActivityDate: 2023-03-09T16:16:47.777Z
Answers.LastEditDate: 2023-03-09T16:16:47.777Z
Answers.UserDisplayName: terdon
Body: <p>How can I get a csv or a list of the gene symbol names for all the protein coding genes in mice?  I have RNA sequencing data and I'm not interested in the non-coding stuff. I'm worried it could mess up my results.  Can GEO or blast provide this?</p>
  <p>Edit: I am not interested in EntrezID or Ensemble, I don't not want them I just am more interested in gene name like Fos or Penk. Etc.  I work in RNA seq I don't need to map any fastq files to a genome that has been done already I just need to filter out genes that are not protien coding.  If you are not familiar with what RNA seq data looks like it is simply rows of genes and columns of samples each entry giving the number of reads for that gene in that sample, single cell RNA seq is the same.  Have a look at GEO if you want more examples: <a href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE145970" rel="nofollow noreferrer">https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE145970</a></p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2023-03-09T09:40:14.863Z
Comments.Text: So my answer should give you exactly what you need, right? If you don't want protein coding genes that do not have a "name" assigned, you can skip the "gene stable id" option.
Comments.UserDisplayName: terdon
Tags: <rna-seq><blast><rna><geoquery><geo>
Title: Gene symbol list for all protein coding genes in mice
ThreadText: # Gene symbol list for all protein coding genes in mice
  
  (Asked by: username_0 on 2023-03-09)
  
  How can I get a csv or a list of the gene symbol names for all the protein coding genes in mice? I have RNA sequencing data and I'm not interested in the non-coding stuff. I'm worried it could mess up my results. Can GEO or blast provide this?
  
  Edit: I am not interested in EntrezID or Ensemble, I don't not want them I just am more interested in gene name like Fos or Penk. Etc. I work in RNA seq I don't need to map any fastq files to a genome that has been done already I just need to filter out genes that are not protien coding. If you are not familiar with what RNA seq data looks like it is simply rows of genes and columns of samples each entry giving the number of reads for that gene in that sample, single cell RNA seq is the same. Have a look at GEO if you want more examples: <https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE145970>
  
  **Tags:** rna-seq, blast, rna, geoquery, geo
  
  > **Comments:**
  > **username_1**: So my answer should give you exactly what you need, right? If you don't want protein coding genes that do not have a "name" assigned, you can skip the "gene stable id" option.  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2023-03-09. Score: 5 | Accepted answer
  
  If you want *all* known mouse protein coding genes, you can get the list from [Ensembl's BioMart](https://www.ensembl.org/biomart).
  
  First, select the mouse genome:
  
  [![BioMart screenshot](https://i.sstatic.net/Ohjp3.png)](https://i.sstatic.net/Ohjp3.png)
  
  Then, in "Filters" limit to protein coding genes only:
  
  [![BioMart screenshot](https://i.sstatic.net/ovrFs.png)](https://i.sstatic.net/ovrFs.png)
  
  And next, choose "Gene name" and, to have a more standardized and stable name and to ensure that you get allr esults (not all genes have a "name", but they will all have IDs), include the "Gene stable ID":
  
  [![BioMart screenshot](https://i.sstatic.net/pZpLA.png)](https://i.sstatic.net/pZpLA.png)
  
  Finally, click on "Results":
  
  [![BioMart Screenshot](https://i.sstatic.net/mNF5M.png)](https://i.sstatic.net/mNF5M.png)
  
  Select "File" and "CSV" and then click on "Go" to download the list:
  
  [![BioMart screenshot](https://i.sstatic.net/Y1QM3.png)](https://i.sstatic.net/Y1QM3.png)
  
  The end result is a file like this:
  
  ```
  Gene stable ID,Gene name
  ENSMUSG00000064341,mt-Nd1
  ENSMUSG00000064345,mt-Nd2
  ENSMUSG00000064351,mt-Co1
  ENSMUSG00000064354,mt-Co2
  ENSMUSG00000064356,mt-Atp8
  ENSMUSG00000064357,mt-Atp6
  ENSMUSG00000064358,mt-Co3
  ENSMUSG00000064360,mt-Nd3
  ENSMUSG00000065947,mt-Nd4l
  ENSMUSG00000064363,mt-Nd4
  ENSMUSG00000064367,mt-Nd5
  ENSMUSG00000064368,mt-Nd6
  ENSMUSG00000064370,mt-Cytb
  ENSMUSG00000095019,
  ENSMUSG00000094915,
  ENSMUSG00000095041,
  ENSMUSG00000095666,
  ENSMUSG00000094741,Pramel39
  
  ```
  
  With 21849 gene IDs, of which 21772 have a "name" as well.
  
  > **Comments:**
  > **username_1**: Thanks, @RamRS, I blame my years living in France! :)  
  
  ---
  
  