Metadata-Version: 1.2
Name: alfie
Version: 1.0
Summary: alignment free identification of edna
Home-page: https://github.com/CNuge/alfie
Author: Cam Nugent
Author-email: nugentc@uoguelph.ca
License: LICENSE.md
Description: 
        alfie: an alignment-free, kingdom level taxonomic classifier for DNA barcode data. 
        
        Alfie classifies sequences using a neural network which takes k-mer frequencies (default k = 4)
        as inputs and makes kingdom level classification predictions. At present, the program contains 
        trained models for classification of cytochrome c oxidase I (COI) barcode sequences to the 
        taxonomic level: kingdom. The program is effective at classifying sequences >200 base pairs in 
        length, and no alignment information is needed.
        
        Alfie can be deployed from the command line for rapid file-to-file classification of sequences. 
        This is an effective means of separating contaminant sequences in a DNA metabarcoding or 
        environmental DNA dataset from sequences of interest.
        
        For increased control, alfie can also be deployed as a module from within Python. The alfie 
        package also contains functions that can aid a user in the training and application of a custom 
        alignment-free classifier, which allows the program to be applied to different DNA barcodes 
        (or genes) or on different taxonomic levels.
        
Platform: UNKNOWN
Requires-Python: >=3.6
