Genome-wide estimation of signals hidden in noisy multi-sample HTS datasets
Project description
Consenrich
Consenrich is an adaptive linear filter for genome-wide estimation of signals hidden in noisy multi-sample HTS datasets. Consenrich supports a variety of functional genomics assays including ATAC-seq, DNase-seq, ChIP-seq, CUT&RUN, etc.
See the Documentation for usage examples, installation details, configuration options, and an API reference.
Manuscript Preprint and Citation
BibTeX Citation
@article {Hamilton2025,
author = {Hamilton, Nolan H and Huang, Yu-Chen E and McMichael, Benjamin D and Love, Michael I and Furey, Terrence S},
title = {Genome-Wide Uncertainty-Moderated Extraction of Signal Annotations from Multi-Sample Functional Genomics Data},
year = {2025},
doi = {10.1101/2025.02.05.636702},
publisher = {Cold Spring Harbor Laboratory},
journal = {bioRxiv}
}
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file consenrich-0.4.1b0.tar.gz.
File metadata
- Download URL: consenrich-0.4.1b0.tar.gz
- Upload date:
- Size: 7.1 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
54d345f143ce01e9f799e00507153155d1b5bd4e5009c9f8a76d91b012e79ae9
|
|
| MD5 |
fcde295b3f7f376653eb922f7a87a57b
|
|
| BLAKE2b-256 |
3c08394079cdee305cd44f81f13b8eb1b8085c7d68e57630330479e1a97f2196
|
File details
Details for the file consenrich-0.4.1b0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.
File metadata
- Download URL: consenrich-0.4.1b0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
- Upload date:
- Size: 7.9 MB
- Tags: CPython 3.13, manylinux: glibc 2.17+ x86-64, manylinux: glibc 2.28+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
62b1eddb65ee2af68f70a1373acf5adcd472fd6a88a5ef708df215729f1cc545
|
|
| MD5 |
f594f4a622e6b0d1766a857b354cb672
|
|
| BLAKE2b-256 |
3165af31e6eb2eef1cca39af4c83e6ffd4d9254231bfc1809951ab5b23ae0275
|
File details
Details for the file consenrich-0.4.1b0-cp313-cp313-macosx_11_0_arm64.whl.
File metadata
- Download URL: consenrich-0.4.1b0-cp313-cp313-macosx_11_0_arm64.whl
- Upload date:
- Size: 7.2 MB
- Tags: CPython 3.13, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3745d5fe40a5311d5b3b61e9338a12ff77f1d063a8b3d1a1b4e866984e6523de
|
|
| MD5 |
c297c88a3c13e6cabeaee9d4739edd49
|
|
| BLAKE2b-256 |
0669640b2de5b102d4e74c44e276b1f2c3bfff30464443b34a7b2e0875172a0e
|
File details
Details for the file consenrich-0.4.1b0-cp313-cp313-macosx_10_13_x86_64.whl.
File metadata
- Download URL: consenrich-0.4.1b0-cp313-cp313-macosx_10_13_x86_64.whl
- Upload date:
- Size: 7.2 MB
- Tags: CPython 3.13, macOS 10.13+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d8cc7b8a2c977b09aa8a76543edc5ac635c5991a2f29985d8c463f744f38d943
|
|
| MD5 |
60cfbfdfe7691941f2216ab9e5c65ad9
|
|
| BLAKE2b-256 |
35ca545c5b07007c56c6de2bbfb0c476e85a0371d9a45e1f18308acde1792c1f
|
File details
Details for the file consenrich-0.4.1b0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.
File metadata
- Download URL: consenrich-0.4.1b0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
- Upload date:
- Size: 7.9 MB
- Tags: CPython 3.12, manylinux: glibc 2.17+ x86-64, manylinux: glibc 2.28+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
98efbb43a83495bd2e264e7a08ed5328412983c54d61e1e55c759689cf4bfd5a
|
|
| MD5 |
44a5ec0d6cbe8563dbbe2ff310713f0d
|
|
| BLAKE2b-256 |
7c15cc97b9cf1b27c632b008ce44605b48379730d01e58285c015994d0ae50e9
|
File details
Details for the file consenrich-0.4.1b0-cp312-cp312-macosx_11_0_arm64.whl.
File metadata
- Download URL: consenrich-0.4.1b0-cp312-cp312-macosx_11_0_arm64.whl
- Upload date:
- Size: 7.2 MB
- Tags: CPython 3.12, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
eeb861ba358e9c2cffb801c2bed3a6152fc4ec8e7215df1b3cc66b1dfd9e1f9b
|
|
| MD5 |
0b8e7522b9f169b1a2ce1c64cade81cc
|
|
| BLAKE2b-256 |
1ba7253e26f781db9d8591172e051e55888e3f17dba19738d3ab0315bf9c73c6
|
File details
Details for the file consenrich-0.4.1b0-cp312-cp312-macosx_10_13_x86_64.whl.
File metadata
- Download URL: consenrich-0.4.1b0-cp312-cp312-macosx_10_13_x86_64.whl
- Upload date:
- Size: 7.2 MB
- Tags: CPython 3.12, macOS 10.13+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7df00e857ae86961b4f816291c3d3ecc58dd961dcb0b4fa99c764664135b8dfa
|
|
| MD5 |
7742faaec6cbb4dfb31870ee501d6d1d
|
|
| BLAKE2b-256 |
75c6f8613c6f148485d681265b1577a331e44344183b65da2c7a4d2b97ac40af
|
File details
Details for the file consenrich-0.4.1b0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.
File metadata
- Download URL: consenrich-0.4.1b0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
- Upload date:
- Size: 7.9 MB
- Tags: CPython 3.11, manylinux: glibc 2.17+ x86-64, manylinux: glibc 2.28+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
95cceadd3f5bd21363e4c5bf31f0d538a89aa39a3045d250d1a78ad70912d91e
|
|
| MD5 |
4c8d759d88cc4e8bde1b0d883fdc8e56
|
|
| BLAKE2b-256 |
f051b083f46f156da07b3a8340fa7ce3a4f35cf10b54b612fa6ee7f3557712e4
|
File details
Details for the file consenrich-0.4.1b0-cp311-cp311-macosx_11_0_arm64.whl.
File metadata
- Download URL: consenrich-0.4.1b0-cp311-cp311-macosx_11_0_arm64.whl
- Upload date:
- Size: 7.2 MB
- Tags: CPython 3.11, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f0a6b77ba5a1630d838d0da8e2cc49043bbbf597bedf60f70cc0cc885b038e06
|
|
| MD5 |
0891926952d91611cca260afd2a9ad88
|
|
| BLAKE2b-256 |
0b69deff8bad72f856991179ae4276e7fc7cdf1fc23eef7f93131e2107f7033e
|
File details
Details for the file consenrich-0.4.1b0-cp311-cp311-macosx_10_9_x86_64.whl.
File metadata
- Download URL: consenrich-0.4.1b0-cp311-cp311-macosx_10_9_x86_64.whl
- Upload date:
- Size: 7.2 MB
- Tags: CPython 3.11, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1db04a96dee5ebf1a211db3456a29ba87a059476fb787c5c3e7165353988da2d
|
|
| MD5 |
9fe834a5d9fa5722c482db89a8aca413
|
|
| BLAKE2b-256 |
d20f6eee9fad6b95d6e4293d539a9eebd7171629fe632d2d27cc46b0d6b340b3
|