<![CDATA[BOL: Jaeger : an accurate and fast deep-learning tool to detect bacteriophage sequences]]> https://bioinformaticsonline.com/bookmarks/view/44878/jaeger-an-accurate-and-fast-deep-learning-tool-to-detect-bacteriophage-sequences? https://bioinformaticsonline.com/bookmarks/view/44878/jaeger-an-accurate-and-fast-deep-learning-tool-to-detect-bacteriophage-sequences Thu, 14 Aug 2025 04:02:05 -0500 https://bioinformaticsonline.com/bookmarks/view/44878/jaeger-an-accurate-and-fast-deep-learning-tool-to-detect-bacteriophage-sequences <![CDATA[Jaeger : an accurate and fast deep-learning tool to detect bacteriophage sequences]]> Jaeger is a tool that utilizes homology-free machine learning to identify phage genome sequences that are hidden within metagenomes. It is capable of detecting both phages and prophages within metagenomic assemblies.

The performance of the Jaeger workflow can be significantly increased by utilizing GPUs. To enable GPU support, the CUDA Toolkit and cuDNN library must be accessible to conda.

# setup bioconda
conda config --add channels defaults
conda config --add channels bioconda
conda config --add channels conda-forge
conda config --set channel_priority strict

# create conda environment and install jaeger
mamba create -n jaeger -c nvidia -c conda-forge cuda-nvcc "python>=3.9,<3.12" pip jaeger-bio


# activate environment
conda activate jaeger

Address of the bookmark: https://github.com/MGXlab/Jaeger

]]> Neel