macs2

MACS -- Model-based Analysis of ChIP-Seq

https://github.com/macs3-project/macs

Science Score: 49.0%

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 1 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    5 of 27 committers (18.5%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.2%) to scientific vocabulary

Keywords

atac-seq chip-seq dnase-seq macs peak-caller poisson-equation python

Keywords from Contributors

bioinformatics genome dna sequencing usegalaxy rna-seq ngs workflow-engine common-workflow-language cwl
Last synced: 6 months ago · JSON representation

Repository

MACS -- Model-based Analysis of ChIP-Seq

Basic Info
Statistics
  • Stars: 753
  • Watchers: 47
  • Forks: 269
  • Open Issues: 255
  • Releases: 29
Topics
atac-seq chip-seq dnase-seq macs peak-caller poisson-equation python
Created almost 15 years ago · Last pushed 7 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct

README.md

MACS: Model-based Analysis for ChIP-Seq

Status License Programming languages CI x64 CI non x64 CI Mac OS

PyPI
download

Latest Release: * Github: Github Release * PyPI: PyPI Release * Bioconda:Bioconda Badge * Debian Med: Debian StableDebian Unstable

Introduction

With the improvement of sequencing techniques, chromatin immunoprecipitation followed by high throughput sequencing (ChIP-Seq) is getting popular to study genome-wide protein-DNA interactions. To address the lack of powerful ChIP-Seq analysis method, we presented the Model-based Analysis of ChIP-Seq (MACS), for identifying transcript factor binding sites. MACS captures the influence of genome complexity to evaluate the significance of enriched ChIP regions and MACS improves the spatial resolution of binding sites through combining the information of both sequencing tag position and orientation. MACS can be easily used for ChIP-Seq data alone, or with a control sample with the increase of specificity. Moreover, as a general peak-caller, MACS can also be applied to any "DNA enrichment assays" if the question to be asked is simply: where we can find significant reads coverage than the random background.

Please find MACS3 documentations through MACS3 website.

Contribute

Please read our CODE OF CONDUCT and How to contribute documents. If you have any questions, suggestion/ideas, or just want to have conversions with developers and other users in the community, we recommend using the MACS Discussions instead of posting to our Issues page.

Ackowledgement

MACS3 project is sponsored by CZI's Essential Open Source Software for Science. And we particularly want to thank the user community for their supports, feedbacks and contributions over the years.

Citation

2008: Model-based Analysis of ChIP-Seq (MACS)

Owner

  • Name: MACS3 project team
  • Login: macs3-project
  • Kind: organization
  • Email: macs3project@gmail.com

Working group on MACS version 3

GitHub Events

Total
  • Issues event: 68
  • Watch event: 47
  • Delete event: 2
  • Issue comment event: 88
  • Push event: 32
  • Pull request review event: 3
  • Pull request event: 13
  • Fork event: 6
  • Create event: 4
Last Year
  • Issues event: 68
  • Watch event: 47
  • Delete event: 2
  • Issue comment event: 88
  • Push event: 32
  • Pull request review event: 3
  • Pull request event: 13
  • Fork event: 6
  • Create event: 4

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 1,210
  • Total Committers: 27
  • Avg Commits per committer: 44.815
  • Development Distribution Score (DDS): 0.195
Past Year
  • Commits: 72
  • Committers: 5
  • Avg Commits per committer: 14.4
  • Development Distribution Score (DDS): 0.167
Top Committers
Name Email Commits
Tao Liu v****u@g****m 974
Benjamin Schiller b****r@g****m 134
philippadoherty 9****y 60
Michael R. Crusoe m****e@g****m 8
john j****8@w****u 6
Maarten-vd-Sande M****e 2
Tao Liu t****u@T****e 2
Bjoern Gruening b****g@g****m 2
Garrett Graham g****0@g****m 2
Michael R. Crusoe c****e@u****u 2
Maarten van der Sande m****e@h****m 2
Gert Hulselmans g****s@m****e 1
Jay Hesselberth j****h@g****m 1
Ben Schiller b****r@g****m 1
Michael Purcaro p****o@g****m 1
Aurelien Jarno a****2@d****g 1
Alejandro Barrera a****a@d****u 1
Quanhu Sheng s****h@g****m 1
Tao Liu t****u@T****l 1
Jun Aruga j****a@r****m 1
liqingtian l****i@b****u 1
Björn Grüning b****n@g****u 1
shouldsee s****e@g****m 1
daler d****r@n****v 1
humburg p****g@g****m 1
u2058152 7****2 1
Theodore Ni 3****i 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 259
  • Total pull requests: 83
  • Average time to close issues: over 4 years
  • Average time to close pull requests: 5 months
  • Total issue authors: 219
  • Total pull request authors: 12
  • Average comments per issue: 2.19
  • Average comments per pull request: 0.6
  • Merged pull requests: 78
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 34
  • Pull requests: 13
  • Average time to close issues: 6 days
  • Average time to close pull requests: about 21 hours
  • Issue authors: 31
  • Pull request authors: 2
  • Average comments per issue: 0.88
  • Average comments per pull request: 0.08
  • Merged pull requests: 13
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • callum-b (4)
  • BenxiaHu (4)
  • sklasfeld (4)
  • diego-rt (3)
  • outpaddling (3)
  • jma1991 (3)
  • bieshuohuawenwo (3)
  • taoliu (3)
  • igordot (3)
  • liuyu988 (3)
  • acv21 (3)
  • rikrdo89 (2)
  • linpei26 (2)
  • jowodo (2)
  • olechnwin (2)
Pull Request Authors
  • taoliu (74)
  • mr-c (9)
  • philippadoherty (5)
  • kaizhang (2)
  • ggraham (2)
  • tjni (2)
  • JohnUrban (2)
  • aawdeh (2)
  • jemajet (1)
  • SaidiWang-JSB (1)
  • tyamadat (1)
  • bgruening (1)
  • u2058152 (1)
Top Labels
Issue Labels
General Question (100) Bug Report (65) Feature Request (13) v3 (2) Epic (2) v1.4 (1)
Pull Request Labels
v3 (12) v2.2.7 (7) v2.1.3 (5) v2.2.6 (3) v2.2.8 (2) v2.2.5 (2) v2.1.5 (2) Feature Request (1) v2.2.4 (1) v2.1.4 (1)

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 3,059 last-month
  • Total dependent packages: 3
    (may contain duplicates)
  • Total dependent repositories: 46
    (may contain duplicates)
  • Total versions: 52
  • Total maintainers: 1
pypi.org: macs2

Model Based Analysis for ChIP-Seq data

  • Versions: 38
  • Dependent Packages: 2
  • Dependent Repositories: 42
  • Downloads: 1,800 Last month
Rankings
Dependent repos count: 2.3%
Stargazers count: 2.4%
Forks count: 3.2%
Average: 4.8%
Downloads: 5.9%
Dependent packages count: 10.1%
Maintainers (1)
Last synced: 6 months ago
pypi.org: macs3

Model Based Analysis for ChIP-Seq data

  • Versions: 14
  • Dependent Packages: 1
  • Dependent Repositories: 4
  • Downloads: 1,259 Last month
Rankings
Stargazers count: 2.4%
Forks count: 3.2%
Average: 6.1%
Downloads: 7.2%
Dependent repos count: 7.5%
Dependent packages count: 10.1%
Maintainers (1)
Last synced: 6 months ago

Dependencies

requirements.txt pypi
  • Cython >=0.29
  • codecov >=2.0
  • cykhash >=1.0.2
  • numpy >=1.17
  • pytest >=4.6
  • pytest-cov >=2.8
  • setuptools >=41.2
setup.py pypi
  • Cython >=0.29
  • cykhash >=1.0.2
  • numpy >=1.17
.github/workflows/build-and-test-MACS3-non-x64.yml actions
  • actions/checkout v2.1.0 composite
  • uraimo/run-on-arch-action v2.2.1 composite
.github/workflows/build-and-test-MACS3-x64.yml actions
  • actions/cache v2 composite
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • actions/upload-artifact v2 composite
.github/workflows/publish-to-anaconda.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
.github/workflows/publish-to-pypi.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite