Axolotl is a Python library for scalable genome analysis, addressing the gap in tools for handling the rapid growth of genomic data with easy parallel processing.
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Updated
May 20, 2024 - Python
Axolotl is a Python library for scalable genome analysis, addressing the gap in tools for handling the rapid growth of genomic data with easy parallel processing.
Teaching materials for SymbNET course: from MAGs to GEMs
Arche: a functional-optimized annotator for microbial meta(genomes)
clutering of MAGs (metagenome assembled genomes) into MGS (metagenomic species)
Run multiple metagenome filtering programs using Docker containers
A platform for targeted annotation of (meta)genomic and (meta)transcriptomic datasets using HMM sets.
Statistical package for metaome denovo assembly results.
ViBE: a hierarchical BERT model to identify viruses using metagenome sequencing data
Using a universal reference database, mixed assemblies, and cutting-edge software to give you the quantitative community phylogeny, a complete community functional analysis, and many strain(ish)-level high-quality bins.
Software for prediction of plasmid sequences in metagenomic assemblies
Synthetic PHasE Rate Estimator by single metagenome sequence
Growth Rate Index Calculater wrapped by CWL
Software to identify known plasmid sequence from metagenomic assembly using Minhash
Software to identify plasmid sequence data from metagenome using logistic regression and Minhash
rplB/rpsC targeted analyses with shotgun metagenomes
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