metaDMG: Estimating ancient damage in (meta)genomic DNA rapidly
Project description
A fast and accurate ancient DNA damage toolkit for metagenomic data
metaDMG is a novel framework and suite of programs for analysing large-scale genomic data especially in the context of environmental DNA. This includes state-of-the-art statistical methods for computing nucleotide misincorporation and fragmentation patterns of even highly complex samples.
For more information, see the documentation. For a quick preview of the interactivity, see the live dashboard. Do note that the speed of the live dashboard is severely limited since it's running on a free server and thus indicative of the actual speed of the dashboard.
Table of contents
Getting Started
For information about how to get started running metaDMG, see the section in the documentation.
Citing metaDMG
Here will be more information once our paper is released.
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 Distribution
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 metadmg-0.38.0.tar.gz.
File metadata
- Download URL: metadmg-0.38.0.tar.gz
- Upload date:
- Size: 4.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
08173d3da87de455d5d3c80eaa4c5dee5c33cbe846fc615c1236761f6799f42a
|
|
| MD5 |
ac4f4e74a7f7380e0e91a974d1f13dc4
|
|
| BLAKE2b-256 |
1b9c6099ace99f011544eee2061efffae66ce232badec0b7dbae74280548431e
|
File details
Details for the file metadmg-0.38.0-py3-none-any.whl.
File metadata
- Download URL: metadmg-0.38.0-py3-none-any.whl
- Upload date:
- Size: 4.2 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f21b56c3242fcedfe12ec3154bc01b334f8b9c80a4740b383d5f572c81ff90a9
|
|
| MD5 |
a85703b9434360a5d6ce38f308ddd264
|
|
| BLAKE2b-256 |
7261596e8620eae38a852522bd4b64e50878c36c670e620b3a7695b6d2901a14
|
