Introduction
Welcome to CodonU!
This is an integrated package for codon usage analysis.
Functionalities
Various functionalities can be found below. For gene/genome analysis, this package can:
- For Nucleotide sequences
- Calculate RSCU
- Calculate CAI
- Calculate CBI
- Calculate ENc
- Calculate tAI
- For Protein sequences
- Calculate Aromaticity
- Calculate gravy
One can also can calculate the multivariate analysis, popularly known as correspondence analysis (COA) for the codons easily. Supported calculations are:
- For Nucleotide sequences
- COA using codon frequency with scale set to length of gene
- COA using codon RSCU values with scale set to length of gene
- For Protein sequences
- COA using amino acid frequency with scale set to gravy score
- COA using amino acid frequency with scale set to aromaticity score
Phylogenetic analysis and tree building now can be done.
Detailed instructions on how to use the functions can be found in the examples
Installation
pip install CodonU
Future Plans
None. If you would like recommend one, please mail at sourochaudhuri@gmail.com
1 maintainer
Metadata
1 maintainer
Release files for CodonU 1.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| CodonU-1.1.2.tar.gz | 29.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| CodonU-1.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 89.4 kB
Release files / CodonU-1.1.2.tar.gz
| Download URL | CodonU-1.1.2.tar.gz |
|---|---|
| Size | 29.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
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Release files / CodonU-1.1.2-py3-none-any.whl
| Download URL | CodonU-1.1.2-py3-none-any.whl |
|---|---|
| Size | 59.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.3
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