https://github.com/rickgelhausen/hribo

We present HRIBO (High-throughput annotation by Ribo-seq), a workflow to enable reproducible and high-throughput analysis of bacterial Ribo-seq data. The workflow performs all required pre-processing steps and quality control. Importantly, HRIBO outputs annotation-independent ORF predictions based on two complementary prokaryotic-focused tools, and integrates them with additional computed features. This facilitates both the rapid discovery of ORFs and their prioritization for functional characterization.
https://github.com/rickgelhausen/hribo

Keywords

bioinformatics prokaryotes ribosome-profiling snakemake

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conda package-management

Last synced: 11 months ago
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We present HRIBO (High-throughput annotation by Ribo-seq), a workflow to enable reproducible and high-throughput analysis of bacterial Ribo-seq data. The workflow performs all required pre-processing steps and quality control. Importantly, HRIBO outputs annotation-independent ORF predictions based on two complementary prokaryotic-focused tools, and integrates them with additional computed features. This facilitates both the rapid discovery of ORFs and their prioritization for functional characterization.


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Committers metadata

Last synced: over 1 year ago

Total Commits: 752
Total Committers: 6
Avg Commits per committer: 125.333
Development Distribution Score (DDS): 0.404

Commits in past year: 22
Committers in past year: 1
Avg Commits per committer in past year: 22.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
RickGelhausen r****n@g****m 448
Florian Eggenhofer e****g@i****e 291
Florian Eggenhofer e****g@t****t 5
Ubuntu u****u@t****l 5
Florian Eggenhofer f****n@e****u 2
Rick Gelhausen g****r@c****e 1

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Issue and Pull Request metadata

Last synced: 12 months ago

Total issues: 29
Total pull requests: 26
Average time to close issues: 10 months
Average time to close pull requests: about 2 hours
Total issue authors: 3
Total pull request authors: 2
Average comments per issue: 1.31
Average comments per pull request: 0.08
Merged pull request: 26
Bot issues: 0
Bot pull requests: 0

Past year issues: 1
Past year pull requests: 0
Past year average time to close issues: 3 days
Past year average time to close pull requests: N/A
Past year issue authors: 1
Past year pull request authors: 0
Past year average comments per issue: 5.0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/rickgelhausen/hribo

Top Issue Authors

  • RickGelhausen (23)
  • eggzilla (5)
  • FranckS (1)

Top Pull Request Authors

  • RickGelhausen (15)
  • eggzilla (11)

Top Issue Labels

  • enhancement (14)
  • bug (3)
  • user request (2)

Top Pull Request Labels

  • enhancement (2)
  • workinprogress (1)

Package metadata

pypi.org: hribo

HRIBO (High-throughput annotation by Ribo-seq), a workflow to enable reproducible and high-throughput analysis of bacterial Ribo-seq data.

  • Homepage: https://github.com/RickGelhausen/HRIBO
  • Documentation: https://hribo.readthedocs.io/
  • Licenses: GNU General Public License v3 or later (GPLv3+)
  • Latest release: 1.5.0 (published almost 4 years ago)
  • Last Synced: 2024-05-20T10:20:22.443Z (12 months ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 9 Last month
  • Rankings:
    • Dependent packages count: 10.052%
    • Forks count: 16.824%
    • Stargazers count: 18.46%
    • Dependent repos count: 21.642%
    • Average: 22.338%
    • Downloads: 44.712%
  • Maintainers (1)

Score: 6.674561391814426