2/ If you need the sequence of a single #gene, you can search for the gene symbol or ID from Ensembl homepage and click on ‘Sequence’ in the menu on the left
3/ From this page, you can download the sequence of the gene by clicking on the blue ‘Download Sequence’ button just above the sequence display.
4/ From the pop-up window, you can select the sequence format and type. Either #FASTA or RTF. FASTA option will allow you to download cDNA, CDS, protein, UTR, Exon, Intron and/or genomic sequences in FASTA format -> really useful to use as input in other tools or platforms!
5/ From the gene tab, you can also search for the exon, cDNA or protein sequences of individual transcripts by clicking on the ‘Show Transcript table’ button and clicking on a transcript stable ID to navigate to the transcript tab.
6/ Click on Exon, cDNA or Protein from the menu on the left hand side to view the sequences. Then you can click on the blue ‘Download Sequence’ button to download in either FASTA or RTF format, just like before!
7/ You can also export the sequence of any genomic region by navigating to the location tab for the region and clicking on the ‘Export Data’ button on the left of the page. Just select ‘FASTA sequence’ from the output menu in the pop-up window and click ‘Next’ to download.
8/ If you have a list of gene, transcript or protein symbols or IDs, you can retrieve their sequences from the #BioMart tool with a single query.
🖥️▶️ Watch our BioMart tutorial on YouTube:
9/ Or if you can code🧑💻 and want to automate downloading the sequences you need, you can write a script in any language to use the GET sequence endpoints in the Ensembl REST API: rest.ensembl.org/documentation/…
10/ or if you want to get whole #genome sequences, the Ensembl FTP site has FASTA files of whole #genome sequences, cDNA, CDS and protein sequences of all protein-coding genes, or ncRNA sequences for every species: ftp.ensembl.org
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1/ It’s another Thursday, and that means it’s time for another #tweetorial! Today, we want to show you how you can view RefSeq #annotations on Ensembl 🥳
2/ While Ensembl gene models are annotated directly on the reference genome, #RefSeq are annotated on mRNA sequences. In other words: genome browsers will have different annotation methods, so you might be interested in comparing these annotations side-by-side 📖🤔
3/ 👂🏽You say you want to make direct comparisons of annotations between @NCBI’s RefSeq and Ensembl? Now is your time to try it out on Ensembl! 🏃🏽
2/ The Variant Effect Predictor (VEP) is what you’re going to need for this task. You can find it in the blue header from the @ensembl homepage: ensembl.org/info/docs/tool…
3/ Click the ‘Launch VEP’ button to open the VEP web tool and enter your input data using instructions in the documentation:
👉ensembl.org/info/docs/tool…
1/ Do you need reference sequence files from #Ensembl? All of the different files available can be confusing. Here’s a thread to help you decide which files you need…🧵
2/ The way you approach this problem will depend on if you are starting with a #gene of interest or if you already have the ID (e.g rs699) of a variant for which you want to find the observed allele frequencies.
3/ If you are starting with a gene, search for the gene name or ID from the #Ensembl homepage and navigate to the Gene tab.
Want to learn about a gene function, but there’s no functional data in your species of interest? Or maybe looking for a homologue of your fav gene in a model organism to carry out functional work? Look no further! This #tweetorial will show you how to find orthologues in @ensembl
2/14
Let’s start on the Ensembl homepage and search for our #gene of interest SCP2 by typing its name into the search box. Then go to the gene tab by clicking on the gene name in the search results.
3/14
You can learn more about the #gene function by exploring gene ontology terms and associated phenotypes. Let’s click on Phenotypes in the side menu. This view shows phenotypes associated with our gene of interest and variants in this gene.