Introducing Embeddy, our lovely mascot!

README.md

@@ -1,10 +1,10 @@
-<img src="https://github.com/bcgsc/ntEmbd/blob/master/ntEmbd_logo.png" width="300">
+# ntEmbd: Deep learning Embedding for Nucleotide Sequences
 
-# ntEmbd
-Deep learning embedding for nucleotide sequences
+![Embeddy](/ntEmbd_logo_mascot.png)
+<br/>*“Transforming Sequences. Transforming Insight.” — [Embeddy - the Mascot](https://www.saberhq.com/blog/ntembd)*
 
 ntEmbd is a nucleotide sequence embedding method for latent representation of input nucleotide sequences. The model is built on a Bi-LSTM autoencoder architecture to summarize data in a fixed-dimensional latent representation, capturing both local and long-range dependencies between features.
 
-Here is a short Youtube video, explaning ntEmbd:
+## Youtube video
 
 [![ntEmbd on Youtube](https://img.youtube.com/vi/nToreGP8Jd8/0.jpg)](https://www.youtube.com/watch?v=nToreGP8Jd8)