Rapid & standardized annotation of bacterial genomes, MAGs & plasmids
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Updated
May 21, 2024 - Python
Rapid & standardized annotation of bacterial genomes, MAGs & plasmids
Fast k-mer based tool for multi locus sequence typing (MLST)
High-resolution strain-level microbiome composition analysis tool based on reference genomes and k-mers
📜 the Great Automatic Nomenclator — The Next Million Names for Archaea and Bacteria
Combining de novo and reference-guided assembly with Scaffold_builder
Tool intended to pull out sequences and annotations between insertion sites specified by the user.
PowerBacGWAS: Power calculations for Bacterial GWAS
Flexible workflow designed for bacterial WGS analyses (annotation, core/pan-genome reconstruction, phylogeny)
DELEAT is a bioinformatic analysis pipeline for the design of large-scale genome deletions in bacterial genomes.
cg/wgMLST allele calling software, schema evaluation and allele distance estimation for outbreak reserch.
Alignment-free bacterial identification and classification in metagenomics sequencing data using machine learning
SNP calling pipeline using mccortex
Bacterial relatedness server, supporting sequence clustering & mixture detection
A computational tools for improving the functional annotation of bacterial genomes and the classification of CDSs into cllusters of orthologous groups (COGs). It allows summarizing annotations from different resources to provide a more accurate annotation of genes regarding their assignment into COGs and their categories.
Python package to create line drawings of genomic comparison 'webs'/'hive plots'
analyzing bacterial genome based ontologies and phylogenomics informativeness
Workflow designed for Download, QC, Assemble, Variant calling, and Annotate bacterial WGS in batch
Analyzes the GC skew of bacterial chromosomes using multiple calculations. Outputs a data frame of GC skew values and wiggle files for visualization.
Snakemake workflow for processing Mycobacterium leprae whole genome sequencing data
Bacterial phenotype prediction from low pass sequencing using recommender systems and machine learning classifiers.
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