dataloading-mongo
Scripts to load data into a MongoDB service repository
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (2.1%) to scientific vocabulary
Last synced: 6 months ago
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Repository
Scripts to load data into a MongoDB service repository
Basic Info
Statistics
- Stars: 0
- Watchers: 6
- Forks: 3
- Open Issues: 1
- Releases: 2
Created over 8 years ago
· Last pushed 8 months ago
Metadata Files
Readme
Contributing
License
Code of conduct
Citation
README.md
iReceptor Mongo dataloader
This repository containst the code for loading AIRR compliant data into a Mongo repository. It is designed as both a standalone python program as well a docker container that exists as a component in the iReceptor Turnkey repository.
Owner
- Name: iReceptor
- Login: sfu-ireceptor
- Kind: organization
- Location: Vancouver, Canada
- Website: http://www.ireceptor.org
- Repositories: 12
- Profile: https://github.com/sfu-ireceptor
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: Corrie
given-names: Brian
orcid: https://orcid.org/0000-0003-3888-6495
title: "iReceptor: A platform for querying and analyzing antibody/B-cell and T-cell receptor repertoire data across federated repositories"
version: v4.0
doi: 10.1111/imr.12666
GitHub Events
Total
- Delete event: 1
- Issue comment event: 2
- Push event: 8
- Pull request event: 1
- Create event: 1
Last Year
- Delete event: 1
- Issue comment event: 2
- Push event: 8
- Pull request event: 1
- Create event: 1
Dependencies
requirements.txt
pypi
- PyYAML ==5.4
- airr ==1.3.1
- biopython ==1.77
- certifi ==2020.4.5.1
- chardet ==3.0.4
- datetime ==4.5
- idna ==2.9
- numpy ==1.18.5
- pandas ==1.0.4
- plotly ==4.8.1
- pymongo ==3.10.1
- python-dateutil ==2.8.1
- pytz ==2020.1
- requests ==2.26.0
- six ==1.15.0
- urllib3 ==1.26.5
- xlrd ==1.2.0
- yamlordereddictloader ==0.4.0
Dockerfile
docker
- python 3.6 build