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Scripps Research CBB (CA and FL)

This is the Github repository for the Computational Biology and Bioinformatics (CBB) community at Scripps Research, affiliated with the core track for graduate students, with the intention of providing TSRI and the larger San Diego bioinformatics community a collaborative network and relevant events. We serve ~300 researchers and enthusiasts.

Our Mission: We are three Scripps Research academic trainees across disciplines (Seminar Co-Coordinator Dr Jerry Zak, Programming Coordinator Dr Daniele Parisi, and Seminar Co-Coordinator Ian Newman) working together to (i) provide relevant seminars and workshops catered to community needs, (ii) host code reviews and discussions, and (iii) supply a platform both on- and off- line for Scripps Research employees and affiliates to connect with one another surrounding all topics CBB. We are an open, inclusive organization that adheres to FAIR practices. Learn and explore more via our website. All suggestions, questions, and comments are welcome at jaroslav[at]scripps.edu.

Roles: If any of the following leadership roles appeal to you, and/or if there is another you can devise, feel free to contact us.

  • Career Events: Ian Newman
  • Code Topics and Workshops: Dr. Parisi
  • Diversity, Equity, Inclusion and Accessbility: Everyone, including members
  • Github Updates: Ian Newman
  • Monthly Seminars: Dr. Zak
  • Recruitment and Circulation:
  • Website:

Relevant Resources


Below is a brief description of each folder in this repository, and how it serves as a resource.

CBB Metadata (click title to re-direct)

This is an overview of current topics of interest for CBB, based on introductory information in our metadata Google spreadsheet that CBB members population voluntarily (about ~30% contribute rate). Access to the active Google spreadsheet requires being part of the listserv (contact sulhasan[at]scripps.edu).

Also referred to as 'Research in Progress', these presentations for lab meeting-like seminars occur about once a month on all topics bioinformatics. Previous speakers can be contacted directly for a recording of their seminar. We are intentional in our speaker selection being representative across demographics, career stages, and topics.

These are focused coding (R and/or Python) workshops and events. Some have occurred as bi-weekly events, one-offs, or in collaboration with TEB Labs. We additionally link to the Scripps Institution of Oceanography R-Users group as another resource.

Input

A link not working? Have a recommendation for us to incorporate something or contact someone? Let us know, submit an Issue