XGBoost implementation for bacteria family identification
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Updated
Jun 26, 2023 - Python
XGBoost implementation for bacteria family identification
application of expression basedneural network to metagenomics
normalizing metagenomics abundances based on OTU abundances.
bacterial genome deep learning using keras
HumanMetagenomeDB: a public repository of curated and standardized metadata for human metagenomes
This project aims do describe and explore the metagenomes of fern species of the genus Azolla.
FOCUS: An Agile Profiler for Metagenomic Data
Raw sequence metagenomic reads pre-processing: trimming, QC, and host contamination
An algorithm for recovering haplotypes from metagenomes
Minimum Information about any (X) Sequence” (MIxS) specification
This is the codebase for Recycler, described in our manuscript: https://academic.oup.com/bioinformatics/article/33/4/475/2623362, by Roye Rozov, Aya Brown Kav, David Bogumil, Naama Shterzer, Eran Halperin, Itzhak Mizrahi, and Ron Shamir
Software for prediction of plasmid sequences in metagenomic assemblies
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