There are 3 repositories under taxonomic-classification topic.
Quickly search, compare, and analyze genomic and metagenomic data sets.
Fast taxonomic classification of metagenomic sequencing reads using a protein reference database
Accurate metagenomic profiling && Fast large-scale sequence/genome searching
ultrafast genome querying and taxonomic profiling for metagenomic samples by abundance-corrected minhash.
Highly parallelised multi-taxonomic profiling of shotgun short- and long-read metagenomic data
Massively parallel phylogenetic placement of genetic sequences
FlexTaxD (Flexible Taxonomy Databases) - Create, add, merge different taxonomy sources (QIIME, GTDB, NCBI and more) and create metagenomic databases (kraken2, ganon and more )
Metabuli: specific and sensitive metagenomic classification via joint analysis of DNA and amino acid.
Create BIOM-format tables (http://biom-format.org) from Kraken output (http://ccb.jhu.edu/software/kraken/, https://github.com/DerrickWood/kraken).
Tag and recommend Python exercises based on algorithmic features
PyTorch implementation of Metric-Guided Prototype Learning for hierarchical classification.
Fast and space-efficient taxonomic classification of long reads
Collection of notebooks describing the basic analysis workflow for a 16S rRNA gene amplicon sequencing project
Alignment-free method to identify and analyse discriminant genomic subsequences within pathogen sequences
:notebook: Companion code for Grenié et al. 2022 MEE "Harmonizing taxon names in biodiversity data: a review of tools, databases, and best practices" preprint: 10.32942/osf.io/e3qnz
Sequence based 16S rRNA Taxonomic classifier using MLP
Benchmarking different ways of doing read (taxonomic) classification, with a focus on removal of contamination and MTB classification
Filter for reads from taxa of interest using Kraken2/Centrifuge classification results.
Static site generator "Databaseless" CMS: Content is just (git friendly) markdown with multidimensional topic/tags/taxonomy extensions that both humans and AI will appreciate.
A formal taxonomy to classify JSON documents based on their size, type of content, characteristics of their structure and redundancy criteria.
Implementation of a flexible methodology for research software classification
PIpeline for MetaGenomic Analysis of Viral reads from 2nd generation sequencer
Forecasting the Adoption Process of Technology Using ML Methods
A script to check fungus names for the most up to date nomenclature according to Species Fungorum 🍄
A pipeline for taxonomic classification and functional annotation of metagenomic reads. Based on MEDUSA
Awesome research paper on taxonomy (information retrieval). Study notes about their contributions, methods, and results.