11 skills found
XD-mu / Bacterial Atlas Identification Model Based On MBAA CNNJournal of Hazardous Materials 2025 “Paper-based SERS chip with adaptive attention neural network for pathogen identification”
chiulab / SURPI Plus DistThis repository houses the code to run SURPI+, a rapid computational pipeline for comprehensive identification of pathogens from clinical metagenomic sequence data. Please download SURPI+ software from here.
Bgi-LUSH / GPMetaA GPU-accelerated method for ultrarapid pathogen identification from metagenomic sequences.
FOI-Bioinformatics / Nanometa LiveA streamlined workflow and GUI for real-time species identification and pathogen characterization via nanopore sequencing data. Engineered for precision, speed, and user-friendliness, with offline functionality post-initialization.
frenkowski / Deep Learning For Bacteria Identification Using Raman SpectroscopyWe apply deep learning approaches to accurately identify 30 common bacterial pathogens, achieving an average isolate-level accuracy of over 78% and an antibiotic treatment identification accuracy of 95%.
capsid / CapsidCaPSID: Computational Pathogen Sequence IDentification
pandafengye / MISTMIST: a metagenomic intra-species typing tool.
capsid / Capsid PipelineComputational Pathogen Sequence IDentification (CaPSID) Pipeline
nerve-bio / NERVENERVE is an user-friendly software environment for the in silico identification of the best vaccine candidates from whole proteomes of bacterial pathogens. The purpose of this project is to update it, implementing new modules with machine learning based methods, and improving the performance of the already implemented ones.
Bo-Zhou-gogogo / Rapid And Accurate Identification Of Pathogenic Bacteria At The Single Cell Level Using Laser Tweezeresourse for "Rapid and accurate identification of pathogenic bacteria at the single-cell level using laser tweezers Raman spectroscopy and deep learning"
magnuspalmblad / CompareMS2compareMS2 provides a pairwise global comparison between LC-MS/MS datasets based on similarity between the tandem mass spectra. Applications include molecular phylogenetics, quality control, pathogen identification and food authentication.
