Clean up large gappy multiple sequence alignments.
Project description
GapClean (v1.0.2)
Written by Aarya Venkat, PhD
Description:
GapClean takes a gappy multiple sequence alignment and removes columns with gaps at a
specified threshold value to produce a "cleaner" and easier to visualize sequence alignment.
Can also be used to remove gaps in an alignment relative to a seed sequence to assess site-wise mutational information.
Usage: gapclean [options]
-i Input file (Required)
-o Output file (Required)
-t Threshold value (Optional) Cannot be used with seed argument
-s Seed index (Optional) Cannot be used with threshold argument
-h Display this help message
Example: gapclean -i input.fa -o output.fa -t 75
Removes column from alignment when >75 percent of the column are gaps
Example: gapclean -i input.fa -o output.fa -s 0
Takes first sequence as the seed and removes gaps relative to seed.
INSTALLATION:
-
pip install gapclean -
Thank Gappy for his service. He is a retired detective.
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 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 gapclean-1.0.2.tar.gz.
File metadata
- Download URL: gapclean-1.0.2.tar.gz
- Upload date:
- Size: 5.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 PyPy/7.3.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
91e81b2ae2530345a171cbd51d2588c6c8827360cd91214c9a8734b3e227e3dd
|
|
| MD5 |
9cf16db59e82a76cd44277ee4ee3c1f0
|
|
| BLAKE2b-256 |
6397c4099317d2019a54758606b9b836558014fedcdd364d13883a855e4fa0c2
|
File details
Details for the file gapclean-1.0.2-py3-none-any.whl.
File metadata
- Download URL: gapclean-1.0.2-py3-none-any.whl
- Upload date:
- Size: 6.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 PyPy/7.3.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
955bd5daacd743ca004df273e9d1c2c00d4056b6aef5cf476383ebed6150a71d
|
|
| MD5 |
acf2b0776529d6c10f59982ff704724b
|
|
| BLAKE2b-256 |
b30077cf1c2ce5e8de2b80a1d063223171a00bf60aa8ad2896c7e09dc4b13947
|