The fasta python package enables you to deal with biological sequence files easily.
Project description
fasta
version 2.3.2
This python package enables you to deal with biological sequence files easily.
The FASTA file format is a standard for storing several short or long DNA sequences inside a text file, use this package to manipulate and transform these files quickly and with short instructions.
Prerequisites
Since fasta
is written in python, it is compatible with all operating systems: Linux, macOS and Windows. The only prerequisite is python3
(which is often installed by default) along with the pip3
package manager.
To check if you have python3
installed, type the following on your terminal:
$ python3 -V
If you do not have python3
installed, please refer to the section obtaining python3.
To check you have pip3
installed, type the following on your terminal:
$ pip3 -V
If you do not have pip3
installed, please refer to the section obtaining pip3.
Installing
To install the fasta
package, simply type the following commands on your terminal:
$ pip3 install --user fasta
Alternatively, if you want to install it for all users of the system:
$ sudo pip3 install fasta
Usage
Bellow are some examples to illustrate the various ways there are to use this package.
Let's say you have a FASTQ file somewhere inside your home directory and you want to analyze it. To validate it, you can start by doing the following:
>>> from fasta import FASTQ
>>> fastq = FASTQ("~/repos/fasta/test/data/seqs.fastq")
>>> print(fastq.validator())
True
To check the number of reads inside the file, do the following:
>>> from fasta import FASTQ
>>> fastq = FASTQ("~/repos/fasta/test/data/seqs.fastq")
>>> print(len(fastq))
1401
Then, to run the FastQC software on that file automatically, do the following:
>>> from fasta import FASTQ
>>> fastq = FASTQ("~/repos/fasta/test/data/seqs.fastq")
>>> print(fastq.fastqc())
~/repos/fasta/test/data/seqs.fastqc/
Subsampling sequences
Next, to randomly pick a hundred sequences from the FASTQ file and put them in a new FASTQ file, use these commands:
from fasta import FASTQ
#TODO this example is not completed yet
Working with forward and reverse reads
The fasta
package also offers convenient ways of dealing with paired sequence files, where one has two FASTQ files with the same number of sequences in each file. Here is an example:
from fasta import FASTQ
#TODO this example is not completed yet
Splitting FASTA files into sub-files
The fasta
package also offers convenient ways of dealing with large number of sequences by automatically splitting them into an arbitrary number of smaller FASTA files. This is useful for the parallelization of certain operations. Here is an example:
from fasta import FASTQ
#TODO this example is not completed yet
Parsing FASTA files with primers
The fasta
package also offers functionality to parse reads from a FASTA file while automatically detecting the position of any forward and reverse primers, as well as the lack thereof. This is useful for filtering sequences and controlling quality. Here is an example:
from fasta import FASTQ
#TODO this example is not completed yet
Producing visualizations
The fasta
package is capable of producing certain types of graphs, such as a histogram of the sequence length distribution within a FASTA file:
from fasta import FASTQ
#TODO this example is not completed yet
Others
The fasta
package offers many other functions which have not been documented here yet. They can be discovered by looking at the source code or exploring the extra documentation below.
Extra documentation
More documentation is available at:
http://xapple.github.io/fasta/fasta
This documentation is simply generated from the source code with:
$ pdoc --output-dir docs fasta
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
File details
Details for the file fasta-2.3.2.tar.gz
.
File metadata
- Download URL: fasta-2.3.2.tar.gz
- Upload date:
- Size: 436.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 213336bab07bd6666888b3936ee3822eff9706c6ce0dfe18f6451d76cea48a6c |
|
MD5 | 982288c5cab726cc17825de667bafb42 |
|
BLAKE2b-256 | f68b0acfb194b890aee93e1f1d42db4caab9c64f98181001b7442cbecaf59af2 |