Minerva

Minerva: a light-weight, narrative image browser for multiplexed tissue images - Published in JOSS (2020)

https://github.com/labsyspharm/minerva-story

Science Score: 95.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README and JOSS metadata
  • Academic publication links
  • Committers with academic emails
    3 of 7 committers (42.9%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

immunofluorescence microscopy minerva ome

Keywords from Contributors

pypi pde standardization turing-machine genetic-algorithm energy-system plasma benchmarking hydrology distribution
Last synced: 6 months ago · JSON representation

Repository

Minerva Story is an image viewer that is designed specifically to make it easy for non-expert users to interact with complex tissue images.

Basic Info
  • Host: GitHub
  • Owner: labsyspharm
  • License: mit
  • Language: HTML
  • Default Branch: master
  • Homepage: https://minerva.im
  • Size: 269 MB
Statistics
  • Stars: 54
  • Watchers: 11
  • Forks: 14
  • Open Issues: 19
  • Releases: 0
Topics
immunofluorescence microscopy minerva ome
Created about 6 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License

README.md

Minerva

Check out the Minerva website for tutorials, example Minerva Stories and frequently asked questions about Minerva.

We also published a paper describing Minerva Story and Author: Hoffer et al., (2020). Minerva: a light-weight, narrative image browser for multiplexed tissue images. Journal of Open Source Software, 5(54), 2579, https://doi.org/10.21105/joss.02579 .

Minerva Repository Structure

Minerva Story

The GitHub Pages site build is stored at minerva-story. The source code for the minified bundle is stored at minerva-browser.

Minerva Author

The Python Flask server along with automated testing is stored at minerva-author. The React UI is stored at minerva-author-ui

Running Minerva Story

Clone repository

bash git clone git@github.com:labsyspharm/minerva-story.git cd minerva-story

Install npm

Download and install Node.js for your platform.

Install npx to run the http-server:

bash npm install -g npx

Run local server

In the project folder, run command: bash npx http-server -p 8000

Open browser to localhost:8000

Rebuilding minerva-browser

If you update the version of Minerva Browser in package.json, you will need to rebuild with webpack as shown below: npm i npm run build

Then you can run the local server with npx http-server -p 8000 as normal.

Owner

  • Name: Laboratory of Systems Pharmacology @ Harvard
  • Login: labsyspharm
  • Kind: organization
  • Email: hits@harvard.edu
  • Location: Boston, MA

Reinventing the fundamental science underlying the development of new medicines and their use in individual patients.

JOSS Publication

Minerva: a light-weight, narrative image browser for multiplexed tissue images
Published
October 15, 2020
Volume 5, Issue 54, Page 2579
Authors
John Hoffer ORCID
Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA
Rumana Rashid ORCID
Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
Jeremy L. Muhlich ORCID
Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA
Yu-An Chen ORCID
Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA
Douglas Peter William Russell ORCID
Mathworks, Natick, MA
Juha Ruokonen ORCID
Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA
Robert Krueger ORCID
Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, School of Engineering and Applied Sciences, Harvard University, Cambridge, MA
Hanspeter Pfister ORCID
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA
Sandro Santagata ORCID
Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
Peter K. Sorger ORCID
Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, Department of Systems Biology, Harvard Medical School, Boston, MA
Editor
Juan Nunez-Iglesias ORCID
Tags
visualization image data cancer tissue storytelling

GitHub Events

Total
  • Watch event: 4
Last Year
  • Watch event: 4

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 183
  • Total Committers: 7
  • Avg Commits per committer: 26.143
  • Development Distribution Score (DDS): 0.033
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
John Hoffer j****n@h****n 177
dependabot[bot] 4****] 1
Rumana (Ru) Rashid 3****e 1
Juha Ruokonen 5****n 1
Jeremy Muhlich j****h@b****g 1
Han Xu 8****s 1
Daniel S. Katz d****z@i****g 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 70
  • Total pull requests: 4
  • Average time to close issues: 4 months
  • Average time to close pull requests: 4 days
  • Total issue authors: 18
  • Total pull request authors: 4
  • Average comments per issue: 0.6
  • Average comments per pull request: 0.0
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 1
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • Ru-bixcube (17)
  • tuuliavallius (11)
  • madisonatyler (9)
  • DanaeA (6)
  • gjbaker (4)
  • ghost (4)
  • edn314 (3)
  • sofroniewn (3)
  • Juha-Ruokonen (2)
  • jmuhlich (2)
  • rjp21 (2)
  • CReihsmann (1)
  • ArtemSokolov (1)
  • zhqjQill (1)
  • shohpfizer (1)
Pull Request Authors
  • hxu-hms (2)
  • canopybiosciences (1)
  • dependabot[bot] (1)
  • danielskatz (1)
Top Labels
Issue Labels
enhancement (24) bug (13) documentation (9) duplicate (4)
Pull Request Labels
dependencies (1)

Dependencies

scripts/requirements.txt pypi
  • beautifulsoup4 >=4.8.2
  • boto3 >=1.12.14
  • markdown >=3.2.1
  • pyaml >=19.12.0