Software for prediction of plasmid sequences in metagenomic assemblies
-
Updated
Jun 28, 2021 - Python
Software for prediction of plasmid sequences in metagenomic assemblies
A platform for targeted annotation of (meta)genomic and (meta)transcriptomic datasets using HMM sets.
Teaching materials for SymbNET course: from MAGs to GEMs
ViBE: a hierarchical BERT model to identify viruses using metagenome sequencing data
Software to identify plasmid sequence data from metagenome using logistic regression and Minhash
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 to identify known plasmid sequence from metagenomic assembly using Minhash
Statistical package for metaome denovo assembly results.
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.
Synthetic PHasE Rate Estimator by single metagenome sequence
Growth Rate Index Calculater wrapped by CWL
clutering of MAGs (metagenome assembled genomes) into MGS (metagenomic species)
Run multiple metagenome filtering programs using Docker containers
Arche: a functional-optimized annotator for microbial meta(genomes)
rplB/rpsC targeted analyses with shotgun metagenomes
Add a description, image, and links to the metagenome topic page so that developers can more easily learn about it.
To associate your repository with the metagenome topic, visit your repo's landing page and select "manage topics."