viroconstrictor
ViroConstrictor is a pipeline designed to process raw FastQ data from viral amplicon-based sequencing and generate biologically correct consensus sequences of the given viral genome
Science Score: 67.0%
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
Found 5 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○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 (11.2%) to scientific vocabulary
Keywords
Repository
ViroConstrictor is a pipeline designed to process raw FastQ data from viral amplicon-based sequencing and generate biologically correct consensus sequences of the given viral genome
Basic Info
- Host: GitHub
- Owner: RIVM-bioinformatics
- License: agpl-3.0
- Language: Python
- Default Branch: main
- Homepage: https://rivm-bioinformatics.github.io/ViroConstrictor/
- Size: 3.63 MB
Statistics
- Stars: 6
- Watchers: 1
- Forks: 2
- Open Issues: 6
- Releases: 35
Topics
Metadata Files
README.md
ViroConstrictor
ViroConstrictor is a pipeline designed to process raw FastQ data from viral amplicon-based sequencing and generate biologically correct consensus sequences from your data based on a given reference genome.
ViroConstrictor performs high speed data quality control, data cleanup and high accuracy removal of primer-sequences from NGS reads. As well as alignment of reads and generation of a consensus sequence using the TrueConsense consensus-caller which accounts for sequencing errors and alignment artefacts.
ViroConstrictor is able to run both on a standalone (linux) computer, as well as High-Performance Computing (HPC) infrastructures.
ViroConstrictor is compatible with Nanopore, Illumina, and IONTorrent data (fastq).
Please see the documentation for more information.
ViroConstrictor is available under the AGPLv3 licence
If you use ViroConstrictor in your work, please cite:
Zwagemaker, F., Hajji, K., Schmitz, D., Kroneman, A., & The RIVM-IDS Bioinformatics team. ViroConstrictor [Computer software]. https://doi.org/10.5281/zenodo.7688035
Owner
- Name: Infectieziekteonderzoek, Diagnostiek en laboratorium Surveillance-Bioinformatics (RIVM, The Netherlands)
- Login: RIVM-bioinformatics
- Kind: organization
- Location: Netherlands
- Website: https://www.rivm.nl/en/international
- Repositories: 17
- Profile: https://github.com/RIVM-bioinformatics
Citation (CITATION.cff)
cff-version: 1.2.0
title: "ViroConstrictor"
message: >-
If you use ViroConstrictor for your data analysis, then please cite it as:
Zwagemaker, F., Hajji, K., Schmitz, D., Kroneman, A., & The RIVM-IDS Bioinformatics team. ViroConstrictor [Computer software]. https://doi.org/10.5281/zenodo.7688035
authors:
- given-names: Florian
family-names: Zwagemaker
affiliation: >-
National Institute for Public Health and the
Environment (RIVM)
orcid: 'https://orcid.org/0000-0001-7788-0307'
- given-names: Karim
family-names: Hajji
affiliation: >-
National Institute for Public Health and the
Environment (RIVM)
orcid: 'https://orcid.org/0009-0002-6384-3446'
- given-names: Dennis
family-names: Schmitz
- given-names: Annelies
family-names: Kroneman
affiliation: >-
National Institute for Public Health and the
Environment (RIVM)
- name: "The RIVM-IDS Bioinformatics team"
version: 1.5.5 #x-release-please-version
doi: 10.5281/zenodo.7688035
identifiers:
- type: doi
value: 10.5281/zenodo.7688035
description: This is the collection of archived snapshots of all versions of ViroConstrictor
repository-code: 'https://github.com/RIVM-bioinformatics/ViroConstrictor'
url: >-
https://rivm-bioinformatics.github.io/ViroConstrictor/latest/
abstract: >-
ViroConstrictor is a pipeline designed to process raw
FastQ data from viral amplicon-based sequencing and
generate biologically correct consensus sequences of a
given viral genome
license: AGPL-3.0
GitHub Events
Total
- Create event: 17
- Release event: 5
- Issues event: 4
- Watch event: 2
- Issue comment event: 41
- Push event: 59
- Pull request review comment event: 8
- Pull request review event: 7
- Pull request event: 39
Last Year
- Create event: 17
- Release event: 5
- Issues event: 4
- Watch event: 2
- Issue comment event: 41
- Push event: 59
- Pull request review comment event: 8
- Pull request review event: 7
- Pull request event: 39
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 4
- Total pull requests: 32
- Average time to close issues: 5 days
- Average time to close pull requests: 2 days
- Total issue authors: 3
- Total pull request authors: 4
- Average comments per issue: 0.75
- Average comments per pull request: 0.69
- Merged pull requests: 23
- Bot issues: 0
- Bot pull requests: 9
Past Year
- Issues: 4
- Pull requests: 23
- Average time to close issues: 5 days
- Average time to close pull requests: 3 days
- Issue authors: 3
- Pull request authors: 4
- Average comments per issue: 0.75
- Average comments per pull request: 0.65
- Merged pull requests: 16
- Bot issues: 0
- Bot pull requests: 6
Top Authors
Issue Authors
- florianzwagemaker (2)
- raaijmag (1)
- Jrb96 (1)
Pull Request Authors
- github-actions[bot] (9)
- florianzwagemaker (9)
- ids-bioinformatics (8)
- raaijmag (6)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- mike *
- mkdocs *
- mkdocs-material *
- mkdocs-material-extensions *
- biopython ==1.79
- drmaa ==0.7.9
- fpdf2 ==2.5.1
- openpyxl ==3.0.9
- pandas ==1.4.2
- pyyaml ==6.0
- urllib3 >=1.26
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- actions/checkout v3 composite
- actions/setup-python v4 composite
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- tretuna/sync-branches 1.4.0 composite
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- actions/upload-artifact v4 composite
- eWaterCycle/setup-apptainer v2 composite
- mamba-org/setup-micromamba v1 composite
- actions/checkout v3 composite
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