The Hybrid Hackathons of the Future — now with Librarians!


Hannah Gunderman, Data, Gaming, and Popular Culture Librarian, Carnegie Mellon University Libraries

Ben Busby, Director, Solution Science and Principal Scientist, DNAnexus


With the world still reckoning with the impacts of the COVID-19 pandemic, one thing that has remained constant is the need to change how people collaborate and communicate ideas, often shifting to remote and virtual formats.  The COVID-19 pandemic accelerated the rate at which hackathons are hosted in a virtual format. Remote hackathons have the potential to mirror the personally and professionally transforming experiences conveyed by in-person events to those who can not travel due to financial, physical, or environmental constraints. Remote hackathons allow the intellectual wealth of scientists in these countries to be applied to the important topics and goals of the hackathon, while supporting their health and safety through virtual participation. We hope that hackathons will retain a hybrid model to maximize the scientific contributions of both in-person and remote participants. 

Why are hackathons important?

Hackathons allow for concentrated, focused effort on a task or goal by bringing together scientific experts in a particular discipline, such as structural variants, or united by a common goal, such as ending neurofibromatosis.  Some hackathons solve thorny problems, make life easier for practitioners of specific disciplines, or push the boundaries of what a particular scientific field can do.  That said, hackathons not only produce content (usually software), but ideally also actively facilitate education and networking. Those who participate often have professionally transformative experiences that can lead to a wider scientific network, job opportunities, and increased confidence in their coding and research skills. 

Hackathons largely follow the model of “disruptive innovation” by serving as a prototyping layer across scientific organizations, producing new ideas and technologies that the community can then assess for value in their larger goals and initiatives. The prototypes that emerge either push the envelope of what is possible with biomedical informatics, or make day-to-day bioinformatics easier.  While the code isn’t necessarily persistent, these proof-of-concepts are intended for the community to build upon. Hackathons foster an environment with “buzz,” an economic geography concept referring to the serendipitous sharing of creative ideas that happens when people engage in face-to-face interactions. The last year has taught us that these benefits from hackathons are also afforded through hybrid or fully-remote formats, providing hope for a positive future of hybrid hackathons in scientific advancement and discovery. 

How do hackathons benefit the participants?

Not only do hackathons have an undeniable benefit to the broader scientific community, but, they also can provide transformative and impactful experiences for the participants themselves. These experiences largely revolve around the areas of confidence-building, educational development, and camaraderie. 

As described earlier, the “buzz” created in hackathon environments helps advance the sharing of creative and innovative ideas. Through this exchange of ideas, participants can advance their journeys in computational problem-solving and modern software development techniques. In the bioinformatics space, there are many beginner data scientists who are still learning foundational skills in computation and scientific collaboration. Hackathons, whether remote or in-person, offer a concentrated space for beginner data scientists to advance their skills in both of these areas alongside more established bioinformatics researchers. Not only does this afford educational benefits to these participants, but it can also increase their confidence as scientists who can contribute to important research endeavours. 

Finally, hackathons also create the opportunity for participants to forge close personal friendships and bonds, which can lead to long-term collaborations and network-building. 

Participants often find themselves in intensely challenging and time-limited environments as they race to accomplish the goals of the hackathon, and going through these transformative experiences together can lead to strong friendships and connections that span beyond the bounds of the hackathon itself. This is not limited to in-person hackathons, however: video-conferencing software such as Zoom and collaborative tools such as Slack allow participants to interact with each other and build both interpersonal and professional connections. 

A Retrospective Look Into CMU-DNAnexus Virtual “Genomic Data to the Clinic” Hackathon

The CMU-DNAnexus Virtual “Genomic Data to the Clinic” Hackathon (June 1st – June 4th 2021) was focused on bringing complex genomic data into the clinic.  Specifically, we focused on integrating Expressed Variants, Polygenic Risk Scores, Structural Variants and T-Cell Receptors into an Electronic Medical Record readable format using OMOP and worked on a clinically presentable interface. Remote support was offered by librarians from Carnegie Mellon University Libraries who have specialties in data management, bioinformatics, and information sciences. This support included collating important resources found by hackathon participants (such as tools, software, literature, etc.) into a single spreadsheet for easy access, reviewing the hackathon manuscript for syntax and readability, and preparing the manuscript for submission to BioHackrXiv. Communication platforms such as Zoom and Slack can offer ways to stay in touch and facilitate collaboration during a remote hackathon, but information can still get lost in translation in environments where we can’t see each other face-to-face. Librarians are trained in the information sciences and well-positioned to assist in keeping information organized and accessible during a remote or hybrid hackathon. 

Participants not only effectively used online collaboration tools to create innovative workflows and deliverables supporting the goals of the hackathon, but also used tools such as Slack to develop interpersonal friendships. Much of the same dynamic energy and “buzz” felt during an in-person hackathon was also felt in this virtual space and the experience has already led to some promising future collaborations and scientific endeavors, including an accepted proposal for a presentation at the 2021 annual meeting of the American Society of Human Genetics that will share the scientific findings from this hackathon. 

Upcoming hybrid hackatons

Although the pandemic is experiencing a long tail, we can still begin to envision what our post-pandemic future may look like, taking the lessons we have learned from navigating our remote environment for the past several months. One of the lessons we can bring into a post-pandemic future is that hackathons with a virtual option can help us create more equitable and diverse intellectual spaces for tackling the most pressing issues we face in bioinformatics. Moving forward, hackathons should take a hybrid model and allow for both in-person and remote participation, while allowing more team leads the sequestration they need to fully focus their energies on these efforts instead of juggling both work and the hackathon.

Further, leveraging the support of librarians in the hackathon space can lead to a more organized, cohesive, and collaborative experience for participants. This is particularly true for fully remote or hybrid hackathons, where clear communication channels are crucial for all participants. Librarians can help facilitate collaboration and coordination between remote and in-person participants, and help collate resources (such as tools, software, and literature) found during the course of the hackathon.  

We are excited to see what the future of hybrid hackathons holds for our field at large, and the scientific discoveries that will result from these events.  Below are some upcoming hackathons you can follow or get involved in!

Everything is bigger in Texas: Pan-Structural Variation hackathon in the Cloud! 

October 10-13, 2021, hosted by the Baylor College of Medicine

BioHackathon Europe

November 8-12, 2021, hosted by ELIXIR Europe

CMU-DNAnexus Hybrid “Genomic Data to the Clinic” Hackathon

March 9-11, 2022, hosted by CMU Libraries (stay tuned for more details!)

We also recommend keeping an eye on future events and initiatives hosted by the DEMON network, an international network for applying data science and AI to dementia!

Keep an eye on this link for more information about these and other events: 

Supporting Freebayes, to Serve Our Customers and the Community

Freebayes is a variant calling tool for short-read sequencing by Erik Garrison, Gabor Marth, and others, which played a significant role in the 1000 Genomes Project. It’s widely appreciated for its quality results, cost-effective performance, and permissive open-source license. At DNAnexus, many of our customers have come to rely on it in their sequencing pipelines. But, like many software tools in genome informatics, its development might have stopped at the conclusion of its (hugely successful) sponsor project.

We listened to our customers, and heard clearly that freebayes is too valuable to let that happen. A few months ago, we began working with Erik on a roadmap for ongoing development and maintenance with our support. Through our collaboration, Erik recently delivered a capability to generate gVCF output files, a significant feature both for individual genome interpretation and for aggregate analysis of vast cohorts. We’re continuing to refine that feature, and we have many more queued up to ensure freebayes remains a tool of choice for both research and clinical sequencing pipelines.


Importantly, freebayes and our collective contributions to it will remain free for all to use and build upon, under the MIT license. Furthermore, best efforts will be made to assist all its users through public forums. We’d love to hear about your use cases and ideas to further improve freebayes – reach us on GitHub or Gitter, or send us a tweet. Erik remains in his day job, realizing a totally new paradigm in genome informatics, and we’re delighted he can also work with us to make freebayes endure as a tool the community can count on. So to all the genome hackers out there: please hack on freebayes too!

Because no single tool can possibly serve all applications, DNAnexus continues to work with numerous collaborators toward advancing methods in genome informatics, both free and commercially licensed. We also continue to wholeheartedly support our customers’ choice of methodologies to deploy on our platform, whether sourced from our partner network or elsewhere. We’re delighted by this opportunity to both deliver value to our customers and give back to the broader community. To the genome hackers again: we’re on the lookout for more of these opportunities! (We’re hiring, too!)

Run the Mercury Variant-Calling Pipeline on Your Own Data

HGSC Baylor College of MedicineMercury, designed by the Human Genome Sequencing Center at Baylor College of Medicine (HGSC), is used as the core variant-calling pipeline for the CHARGE consortium. The Mercury pipeline is a semi-automated and modular set of tools for the analysis of NGS data in clinically focused studies. HGSC designed the pipeline to identify mutations from genomic data, setting the stage for determining the significance of these mutations as a cause of serious disease.

Thanks to HGSC’s work with us, the Mercury pipeline is now freely available to any DNAnexus user. The Mercury pipeline is located in the applets folder of the  HGSC_Mercury project. You can find the project, along with everything you need to run the applet, under the ‘Featured Projects’ section on your home page.  Login to DNAnexus or create an account today to get started immediately.

Inside the Mercury Project

  • Both whole genome and exome samples
  • All annotation and reference data required
  • Pre–configured workflow (just drag & drop your inputs)

Results from the Mercury pipeline will be made up of a set of annotated variants from your data sample. You’ll also see all of the biologically significant data that applies to the variants from the Baylor College of Medicine database, using their Cassandra annotation tool. You can easily visualize the mappings and variant calls within our integrated genome browser.