Journal Club

Free community backends for research (see NIH list, link below)

https://grants.nih.gov/grants/guide/notice-files/NOT-OD-21-016.html

A. Primary consideration should be given to data repositories that are discipline or data-type specific to support effective data discovery and reuse. NIH makes a list of such data repositories available (see https://www.nlm.nih.gov/NIHbmic/domain_specific_repositories.html).

B. If no appropriate discipline or data-type specific repository is available, researchers should consider a variety of other potentially suitable data sharing options:

1. • 1. Small datasets (up to 2 GB in size) may be included as supplementary material to accompany articles submitted to PubMed Central (see https://www.ncbi.nlm.nih.gov/pmc/about/guidelines/#suppm).

     2. Data repositories, including generalist repositories (see https://www.nlm.nih.gov/NIHbmic/generalist_repositories.html) or institutional repositories, that make data available to the larger research community, institutions, or the broader public.

     3. Large datasets may benefit from cloud-based data repositories for data access, preservation, and sharing.

https://gdc.cancer.gov/about-data/publications

Off the chart crypto

https://filecoin.io

https://www.storj.io

Hackathon

OpenCV.js

Observable (for reasons separate from those for Plotly.js) - Praful, Monjoy

https://observablehq.com/@mootari/hello-opencv-js

All together now in webassembly: https://webassembly.studio

Proxying CORS and lack of SLA

discuss an example, why and how, such as Broad Institute's firebrowser API for genomics data:https://github.com/episphere/firebrowse/blob/master/server.js

Vertex AI Learning

Learning as a service, called from places like https://observablehq.com/@episphere/tensorflow