A tool for MAG taxonomy assignment using Blastn
Project description
Ekl_mgenomics
A tool for MAG (Metagenome Assembled Genome) taxonomy analysis using Blastn.
Installation
pip install Ekl-mgenomics
Usage
ekl_tax yourgenome.fasta
If IndexError---> Go to that chunks blast file and delte the malfunctioned file and again do [ekl_tax yourgenome.fasta]
Requirements
-cd into your folder containing the genome.fasta file.
- BLAST+ must be installed on your system
- Internet connection for remote BLAST and Entrez queries
What it does
- Splits your fasta file into 200kb chunks per contig
- BLASTs each chunk against NCBI nt database
- Assigns taxonomy to each contig by majority vote
- Writes OrganismTaxonomy.tsv with full results
Author
Eklavya Kumar
Authors Note
Run the command and go for a walk it might take time.......
Made with ❤️️ and Mr. Deepu's guidance.
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 ekl_mgenomics-0.9.tar.gz.
File metadata
- Download URL: ekl_mgenomics-0.9.tar.gz
- Upload date:
- Size: 4.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
26cb6b5e84a2515daaedcff88f351fd2df180117d042b6f0e9d58a2ba2dd7334
|
|
| MD5 |
b25a43364ac45699510f827a5e079ebf
|
|
| BLAKE2b-256 |
d93020e3424f7e882207ce34e1834713db2e26050b14ded3a6086d93617b1281
|
File details
Details for the file ekl_mgenomics-0.9-py3-none-any.whl.
File metadata
- Download URL: ekl_mgenomics-0.9-py3-none-any.whl
- Upload date:
- Size: 5.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
11b8cea51d004353923f87767c7df48921e54b288fede021d2aa760d550df9a3
|
|
| MD5 |
3288de5c2c0a1af109a9e1cad4b01bbe
|
|
| BLAKE2b-256 |
a76c41432a0cdc68219af0f96109f60c97be365886046f9c8866d3d66b4f86b2
|
