dabble-of-devops-bioanalyze

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Deploy all the Bioinformatics Related Things(!) on AWS

Funding Links: https://github.com/sponsors/dabble-of-devops-bioanalyze

• Name: BioAnalyze
• Kind: organization
• Followers: 10
• Following: 0
• Total stars: 33
• Repositories count: 55
• Created at: 2022-11-16T00:13:03.002Z
• Updated at: 2025-03-09T22:47:25.845Z
• Last synced at: 2025-03-09T22:47:25.845Z

GitHub Sponsors Profile

BioAnalyze is a product from DabbleofDevops which deploys Bioinformatics Analysis Infrastructure on AWS. Bioanalysis environments, Cloud Labs, scale from the very small to the very large.
The combination of these technologies allows for a powerful, yet portable and easy-to-use experience. Using the quickstart templates and detailed documentation the user will be able to plug and play whether they are using CellProfiler, R, or Dask, analyzing NGS, RNASeq, or SingleCell data, running on a single EC2 instance, or scaling to HPC with AWS Batch or SLURM.
Our goal is to put infrastructure tools in the hands of scientists, allowing them to build out scalable infrastructure without the headache.
BioAnalyze is currently being released as standalone libraries and modules on GitHub. A hosted beta release will be available in early 2022.

Your Contribution
Your contribution goes towards pushing the envelope on data science infrastructure to make it accessible to scientists. We have Pandas so I don't have to parse CSVs, Numpy so I don't need to remember matrix algebra and DVC telling me to quit writing hacky push/pull to/from S3 statements in my Makefile to name just a few of the great contributions to the data science open source community.
Data Science cloud infrastructure should strive towards the same standards of accessibility. Scientists should be able to deploy HPC infrastructure and monitor jobs.
Software produced by BioAnalyze is now and will always be open source. Your contribution will go towards:

Building and maintaining libraries to allow data scientists to deploy HPC infrastructure on AWS.
Libraries to aid in submitting, logging, and benchmarking jobs with said HPC infrastructure.
Recipes to integrate with other giants in the Data Science and Bioinformatics Space such as:
3a. Recipes for deploying auto-scaling Jupyterhub and RStudio instances on AWS. Check out the existing Docker images here.
3b. Recipes for integrating with Nextflow and Snakemake.

About Me
I'm Jillian Rowe. I've been in the Bioinformatics field for over a decade. I strongly believe that scientists should not have to become software engineers or IT staff in order to do their research. The last few years that focus has been on deploying Bioinformatics Analysis infrastructure on AWS.
When I'm not running around building infrastructure I'm usually hanging out with my kids, baking, drawing, or at the beach.
I've been interviewed on the following podcasts:
Adventures in DevOps
Data Science Deployed
Data Engineering Podcasts
You can find me online at the following places:
YouTube - Bioinformatics on AWS
Data Science Deployed Podcast - CoHost
Adventures in DevOps Podcast - Panelist
Twitter

• Current Sponsors: 0
• Past Sponsors: 0
• Total Sponsors: 0
• Minimum Sponsorship: $1.00

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