Skip to main content

GRAMEP - Genome vaRiation Analysis from the Maximum Entropy Principle

Documentation Status codecov CI pypi

GRAMEP is a powerful, Python-based tool designed for the precise identification of Single Nucleotide Polymorphisms (SNPs) within biological sequences. It goes beyond basic SNP identification, offering advanced functionalities including:

  • Intersection analysis: Analyze mutations found in different variants to identify shared mutations.
  • Classification model training: Train a classification model to predict the class of new sequences.

GRAMEP is accessible through a robust and intuitive Command-Line Interface (CLI). The primary command is gramep, with sub-commands for each action the application can perform.

For detailed information, access the documentation.

How to install

The use of pipx is recommended for installing GRAMEP:

pipx install gramep

Although this is only a recommendation, you can also install the project with the manager of your choice. For example, pip:

pip install gramep

Quick Guide

Identifying the most informative SNPs

To identify the most informative Single Nucleotide Polymorphisms (SNPs) using GRAMEP, you will utilize the get-mutations command. Below, you will find the basic usage of this command:

gramep get-mutations [OPTIONS]

For detailed information on available options and how to use them, simply enter the following command:

gramep get-mutations --help

This will provide you with comprehensive guidance on how to make the most of the get-mutations command, allowing you to efficiently analyze and extract valuable SNPs from your biological sequences.

Identifying Mutation Intersection Between Variants

To identify the intersection of mutations present in two or more variants of the same organism, you can utilize the `get-intersection`` command provided by GRAMEP. Below, we outline the basic usage of this command:

gramep get-intersection [OPTIONS]

This command allows you to analyze and find common mutations shared among multiple variant sequences. For detailed information on available options and how to make the most of the get-intersection command, simply use the --help flag:

gramep get-intersection --help

Classifying Biological Sequences

To classify biological sequences using GRAMEP, you can utilize the classify command. Here is the basic usage of this command:

gramep classify [OPTIONS]

This command allows you to perform sequence classification tasks with ease. For detailed information on available options and how to use them effectively, use the --help flag:

gramep classify --help

Predicting Biological Sequences

The predict command of GRAMEP is used to perform class predictions on new biological sequences after training a classification model. Below, you'll find the basic usage of this command:

gramep predict [OPTIONS]

This command allows you to leverage your trained classification model to predict the classes of new biological sequences. For detailed information on available options and how to use them effectively, utilize the --help flag:

gramep predict --help

Citation

Soon

Acknowledgements
  • This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001, the Fundação Araucária, Governo do Estado do Paraná/SETI (Grant number 035/2019, 138/2021 and NAPI - Bioinformática).

Metadata

Release files for gramep 1.2.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for gramep 1.2.1
File Size Uploaded
gramep-1.2.1.tar.gz 49.2 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for gramep 1.2.1
File Interpreter ABI Platform
gramep-1.2.1-cp312-cp312-manylinux_2_34_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.34+ x86-64 Details

Total release size: 50.3 MB

Release files / gramep-1.2.1.tar.gz

Download URL gramep-1.2.1.tar.gz
Size 49.2 MB
Tags Source
SHA-256 checksum
How to use checksums
688b59daa2e20c5ef6297a06cf68b51ec8facd793d1f22bf75bb244698e65b8a
BLAKE2b-256 checksum
How to use checksums
52e8e5d4785d630193a0c9026a1498dfcbe24cb5fcba1dd1fa556f547d992a52
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via maturin/1.7.1

Release files / gramep-1.2.1-cp312-cp312-manylinux_2_34_x86_64.whl

Download URL gramep-1.2.1-cp312-cp312-manylinux_2_34_x86_64.whl
Size 1.1 MB
Tags CPython 3.12 Linux glibc 2.34+ x86-64
SHA-256 checksum
How to use checksums
63ab02bd7985b309d439b561f33c30fe269ef56d1de7d4805e496166b9da3560
BLAKE2b-256 checksum
How to use checksums
5e8a31c3516811439556f67935b8972addd0c2883a29c2ceb6e99cf8d05c3e6e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via maturin/1.7.1

Release history Release notifications | RSS feed

This release

1.2.1 This release

2 release files

1.2.0

2 release files

1.1.0

2 release files

1.0.10

2 release files

1.0.9

2 release files

1.0.8

2 release files

1.0.7

2 release files

1.0.6

2 release files

1.0.5

2 release files

1.0.4

2 release files

1.0.3

2 release files

1.0.2

2 release files

1.0.1

2 release files

1.0.0

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page