Profiling tool for Mycobacterium tuberculosis to detect ressistance and strain type from WGS data
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Updated
Dec 1, 2025 - Python
Profiling tool for Mycobacterium tuberculosis to detect ressistance and strain type from WGS data
A multivariate multi-step LSTM forecasting model for tuberculosis incidence with model explanation
vSNP -- validate SNPs
A pipeline for Bacterial Whole genome sequence data analysis
Benchmarking different ways of doing read (taxonomic) classification, with a focus on removal of contamination and MTB classification
vSNP -- validate SNPs
Mycobacterial pipeline
A workflow for analysis and resistance profiling of Mycobacterium tuberculosis nanopore data with Mykrobe
A TBProfiler output parser used to classify the severity of Mycobacterium tuberculosis mutations.
Collecting Genotypes from ENA and make their SNPs
A tool to import SnpEff annotated files to a Neo4j Graph database
BacillusMarker is an aplication to easy mark bacillus of tuberculose.
Generate an interactive HTML-based report from M.tb SnpEff annotated VCF(s)
🤖Automates the process of downloading and processing data from the WHO Global Tuberculosis Programme website. Using Selenium for web scraping and Python's pandas library for data processing
Pipeline for analysing M. tuberculosis nanopore reads and getting drug susceptibility information.
introducing tools for deep learning in medicine
Machine learning models for predicting antimicrobial resistance in Mycobacterium tuberculosis using genomic features
A tool to aggregate and load TB data to Neo4j
Web-app to explore Mycobacterium tuberculosis complex
A tool for detecting operons in microorganisms using RNA-seq data
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