From fbb433b5fb7405bda1ddc756496c00e85ad17571 Mon Sep 17 00:00:00 2001 From: yyh Date: Thu, 20 Mar 2025 15:27:21 +0800 Subject: [PATCH] =?UTF-8?q?=E6=9B=B4=E6=96=B0=20README.md?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/README.md b/README.md index ba62061..6472371 100644 --- a/README.md +++ b/README.md @@ -7,6 +7,19 @@ FScanpy is a comprehensive Python package designed for the prediction of [Progra For detailed documentation and usage examples, please refer to our [tutorial](tutorial/tutorial.md). +## Core Features +- **Sequence Feature Extraction**: Support for extracting features from nucleic acid sequences, including base composition, k - mer features, and positional features. +- **Frameshift Hotspot Region Prediction**: Predict potential PRF sites in nucleotide sequences using machine learning models. +- **Feature Extraction**: Extract relevant features from sequences to assist in prediction. +- **Cross - Species Support**: Built - in databases for viruses, marine phages, Euplotes, etc., enabling PRF prediction across various species. + +## Main Advantages +- **High Accuracy**: Integrates multiple machine learning models to provide accurate PRF site predictions. +- **Efficiency**: Utilizes a sliding window approach and feature extraction techniques to rapidly scan sequences. +- **Versatility**: Supports PRF prediction across various species and can be combined with the [FScanR](https://github.com/seanchen607/FScanR.git) framework for enhanced accuracy. +- **User - Friendly**: Comes with detailed documentation and usage examples, making it easy for researchers to use. +- **Flexible**: Provides different resolutions to suit different using situations. + ## Installation Requirements - Python ≥ 3.7 - Dependencies are automatically handled during installation