![]() ![]() This would be enough to run Curare in use-conda mode. conda create -n curare -c bioconda -c conda-forge curareĪlternatively, you can install Curare via GitHub release and install all dependencies in conda_environment.yaml manually. Please notice that the conda channels bioconda and conda-forge are required for installing Curare correctly. It is recommended to use conda for installing curare with all dependencies. (Images created with Curare using the data from: Banerjee R et al., "Tailoring a Global Iron Regulon to a Uropathogen.", mBio, 2020 Mar 24 11(2)) From the navigation bar at the top, you can then navigate to the specific reports of each module with detailed charts and many statistics. The start page will include Curare statistics, the runtime of this analysis, sample descriptions, and all dependencies of the tools used in this pipeline. Available modulesĪt the end of a Curare run, you will also get an HTML report containing the most important results and an overview of all used settings. Each workflow can be divided into four steps: Preprocessing, Premapping, Mapping, and Analysis. FeaturesĬurare was developed to simplify the automized execution of RNA-Seq workflows on large datasets. Its modularized structure and the simplicity of Snakemake enables developers to create new and advanced workflow steps. ![]() Define standardized pipelines customized for your specific workflow without the necessity of installing all the tools by yourself.Ĭurare is implemented in Python and uses the power of Snakemake and Conda to build and execute the defined workflows. ![]() Curare - A Customizable and Reproducible Analysis Pipeline for RNA-Seq Experiments ContentsĬurare is a freely available analysis pipeline for reproducible, high-throughput, bacterial RNA-Seq experiments. ![]()
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