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 - Please contact [Anusri Pampari] (\<first-name\>@stanford.edu) for suggestions and comments. 
 - Here is a link to the [slides](https://docs.google.com/presentation/d/1Ow6K8TYN40u7T3ODdo-JRCLuv5fUUacA/edit?usp=sharing&ouid=104820480456877027097&rtpof=true&sd=true), [ISMB talk](https://www.youtube.com/watch?v=3W3JeJvvjLc) and a comprehensive [tutorial](https://github.com/kundajelab/chrombpnet/wiki). Please see the [FAQ](https://github.com/kundajelab/chrombpnet/wiki/FAQ) and file a github [issue](https://github.com/kundajelab/chrombpnet/issues) if you have questions.
 - If you are using chrombpnet <= v0.1.3 please refer to the note here - https://github.com/kundajelab/chrombpnet/wiki/Denovo-motif-discovery 
+- If you are using chrombpnet repo actively in your project, I strongly recommend adding yourself to the watchers list for updates. Click on the eye symbol (below the star and above the fork symbol to the right). This will keep you informed of all the major updates and bugs posted for this repo.  
 
 Chromatin profiles (DNASE-seq and ATAC-seq) exhibit multi-resolution shapes and spans regulated by co-operative binding of transcription factors (TFs). This complexity is further difficult to mine because of confounding bias from enzymes (DNASE-I/Tn5) used in these assays. Existing methods do not account for this complexity at base-resolution and do not account for enzyme bias correctly, thus missing the high-resolution architecture of these profiles. Here we introduce ChromBPNet to address both these aspects.