Inferring traits by 16S
Project description
# bayerstraits_16s
# This is a temp version of bayerstraits_16s
## Introduction
* bayerstraits_16s infers traits by 16S
* input: otu table (-t) and otu sequences (-s)
* requirement: mafft
* Optional: fasttree
![alt text](https://raw.githubusercontent.com/caozhichongchong/bayerstraits_16s/master/Methodology.png)
## Install
`pip install bayerstraits_16s`\
in preparation: `anaconda download caozhichongchong/bayerstraits_16s`
## Test (any of these two commands)
`bayerstraits_16s --test`\
`bayerstraits_16s -t your.otu.table -s your.otu.seqs`
## Availability
in preparation: https://anaconda.org/caozhichongchong/bayerstraits_16s
https://pypi.org/project/bayerstraits_16s
## How to use it
1. test the bayerstraits_16s\
`bayerstraits_16s --test`
2. try your data\
`bayerstraits_16s -t your.otu.table -s your.otu.seqs`\
`bayerstraits_16s -t your.otu.table -s your.otu.seqs -top 2000`\
Warning: please keep the exactly same OTU IDs in your.otu.table and your.otu.seqs!
3. use your own traits\
`bayerstraits_16s -t your.otu.table -s your.otu.seqs --rs your.own.reference.16s --rt your.own.reference.traits`
* your.own.reference.16s is a fasta file containing the 16S sequences of your genomes\
\>Genome_ID1\
ATGC...\
\>Genome_ID2\
ATGC...
* your.own.reference.traits is a metadata of whether there's trait in your genomes (0 for no and 1 for yes)\
Genome_ID1 0\
Genome_ID1 1
## Results
The result dir of "Bayers_model":
* `filename.infertraits.txt`: the OTUs inferring as butyrate-producing bacteria (1.0, 0.5)
and non-butyrate-producing bacteria (0.0).
* `filename.infertraits.abu`: the total abundance of butyrate-producing bacteria in all samples.
* `filename.infertraits.otu_table`: the otu_table of butyrate-producing bacteria in all samples.
The result dir of "Filtered_OTU":
* Some temp files of filtered OTUs, alignment, and tree.
## Copyright
Copyright: An Ni Zhang, Prof. Eric Alm, Alm Lab in MIT\
Citation: Not yet, coming soon!\
Contact: anniz44@mit.edu
# This is a temp version of bayerstraits_16s
## Introduction
* bayerstraits_16s infers traits by 16S
* input: otu table (-t) and otu sequences (-s)
* requirement: mafft
* Optional: fasttree
![alt text](https://raw.githubusercontent.com/caozhichongchong/bayerstraits_16s/master/Methodology.png)
## Install
`pip install bayerstraits_16s`\
in preparation: `anaconda download caozhichongchong/bayerstraits_16s`
## Test (any of these two commands)
`bayerstraits_16s --test`\
`bayerstraits_16s -t your.otu.table -s your.otu.seqs`
## Availability
in preparation: https://anaconda.org/caozhichongchong/bayerstraits_16s
https://pypi.org/project/bayerstraits_16s
## How to use it
1. test the bayerstraits_16s\
`bayerstraits_16s --test`
2. try your data\
`bayerstraits_16s -t your.otu.table -s your.otu.seqs`\
`bayerstraits_16s -t your.otu.table -s your.otu.seqs -top 2000`\
Warning: please keep the exactly same OTU IDs in your.otu.table and your.otu.seqs!
3. use your own traits\
`bayerstraits_16s -t your.otu.table -s your.otu.seqs --rs your.own.reference.16s --rt your.own.reference.traits`
* your.own.reference.16s is a fasta file containing the 16S sequences of your genomes\
\>Genome_ID1\
ATGC...\
\>Genome_ID2\
ATGC...
* your.own.reference.traits is a metadata of whether there's trait in your genomes (0 for no and 1 for yes)\
Genome_ID1 0\
Genome_ID1 1
## Results
The result dir of "Bayers_model":
* `filename.infertraits.txt`: the OTUs inferring as butyrate-producing bacteria (1.0, 0.5)
and non-butyrate-producing bacteria (0.0).
* `filename.infertraits.abu`: the total abundance of butyrate-producing bacteria in all samples.
* `filename.infertraits.otu_table`: the otu_table of butyrate-producing bacteria in all samples.
The result dir of "Filtered_OTU":
* Some temp files of filtered OTUs, alignment, and tree.
## Copyright
Copyright: An Ni Zhang, Prof. Eric Alm, Alm Lab in MIT\
Citation: Not yet, coming soon!\
Contact: anniz44@mit.edu
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file bayerstraits_16s-1.0.6.tar.gz
.
File metadata
- Download URL: bayerstraits_16s-1.0.6.tar.gz
- Upload date:
- Size: 1.6 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: Python-urllib/3.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | bdf4e790330d1f616a306843b3dd6d576b6f5285f6f34d4d195bce0490ceef4b |
|
MD5 | 4bbb095b20c99a3cca222641844c42cc |
|
BLAKE2b-256 | 06c87ce4bc38f28824e2c9d455fdccd99d2986207e74b2fab8a27892b049de51 |