Mycobacterial pipeline
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Updated
Jul 30, 2024 - Python
Mycobacterial pipeline
Profiling tool for Mycobacterium tuberculosis to detect ressistance and strain type from WGS data
Proyek Akhir Mata Kuliah Kecerdasan Komputasional - Klasifikasi Lokasi Tuberculosis Menggunakan Metode Random Forest
MTBseq is an automated pipeline for mapping, variant calling and detection of resistance mediating and phylogenetic variants from illumina whole genome sequence data of Mycobacterium tuberculosis complex isolates.
R code to calculate TB outbreak costing using data from incidents in Birmingham, UK.
A pipeline for comprehensive genomic analyses of Mycobacterium tuberculosis with a focus on clinical decision making as well as research
vSNP -- validate SNPs
Web-app to explore Mycobacterium tuberculosis complex
Generate an interactive HTML-based report from M.tb SnpEff annotated VCF(s)
Physiological modeling into the metaverse of Mycobacterium tuberculosis beta CA inhibition mechanism
Epidemiological effect of TPT
Mbovpan is a nextflow bioinformatic pipeline for Mycobacterium bovis pangenome analysis. The goal of Mbovpan is to help researchers to study the M. bovis pangenome in an automatic and easy way.
Profile RNA-seq data using published TB gene signatures
Benchmarking different ways of doing read (taxonomic) classification, with a focus on removal of contamination and MTB classification
R Color package for Mycobacterium tuberculosis complex
Bayesian Multi-Parameter Evidence Synthesis (MPES) to estimate TB epidemiological parameters.
Clinical Trial Risk Tool for analysing clinical trial protocols using natural language processing and assessing the risk of ending uninformatively, developed by Fast Data Science
🤖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
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