It’s probably reasonable to assume that the coding sequence (CDS) of a protein-coding transcript model is the feature that is of primary interest to most people who use Ensembl. However, both the 5’ and 3’ untranslated regions (UTRs) are important biological entities in their own right, and it is vital that we in Ensembl do the best we can to represent them accurately. However, the annotation of these UTRs is complicated, so we’re going to focus on exploring the annotation process for 3’ UTRs in this article (Figure 1).
News about workshops, webinars, online courses etc.
Ensembl produce high quality gene annotation for a number of species, but getting it to the high quality we expect takes time. This means there are many species and strains where we don’t have annotation yet. If you’re working with a species without Ensembl annotation (like Trixie the Triceratops here) or even a specific strain that we don’t have, you can still make use of VEP for predicting the effect of variants on genes and transcripts, using your own annotation. All you need is a GFF or GTF of the transcripts, and a FASTA file of the genome.
This September, we’re excited to announce the third iteration of our free webinar-based browser course. While our in-person workshops are the best way to learn about Ensembl, we know that not everyone can attend or organise one. If that’s you, then our webinar course is perfect for you.
You might know that we offer training courses on using the Ensembl browser, but did you know that we also offer Ensembl REST API and Ensembl Train the Trainer courses? We can come to you to deliver any of these courses at your institute and we don’t charge any fees. If you’re in a low-middle income country, we don’t even charge you for expenses.
Functional genomics data from DANIO-CODE has been released to the public. This international effort, similar to ENCODE in human and mouse, seeks to characterise the functional elements in the zebrafish (Danio rerio) genome. Announced on Saturday at the International Zebrafish Conference, the DANIO-CODE dataset exists as a track hub, which can be viewed in Ensembl.
One of the biggest headaches when working with insertions and deletions is how many different ways you can represent the same variant. If you’re looking to find out if there’s already known allele frequencies or phenotypes at a locus, you want to make sure that you find the right one. The VEP can take that headache away through normalisation of variants.
Some Variant Effect Predictor (VEP) jobs are small, just ten or fewer variants, and that’s easy. Some VEP jobs are big, if you do variant calling on one whole human genome, that’s five million variants! The more variants you have, the more computing power the VEP needs to process them, which can make it slow. But there are ways to speed it up.
The VEP (Variant Effect Predictor) is our most popular tool and is incredibly useful for annotating genetic variants with the genes they hit and what effect they have on them. But did you know you can filter your results? Both in the web interface and using the script?
We think conferences are great opportunities to use talks and posters to tell people about all the cool stuff we’re developing, provide training with workshops and learn more about what’s going on in our fields of interest. Ensembl team members attend many conferences a year and 2018 is no exception, we’re planning to attend twenty (so far)!