{"repo":"nf-core/funcscan","free":true,"listed":false,"github":"https://github.com/nf-core/funcscan","clone":"git clone https://github.com/nf-core/funcscan.git","description":"(Meta-)genome screening for functional and natural product gene sequences","language":"Nextflow","stars":117,"topics":["nextflow","workflow","pipeline","assembly","contigs","function","screening","metagenomics","natural-products","antimicrobial-resistance-genes"],"license":"MIT","category":"workflow-automation","readme_excerpt":"Introduction nf-core/funcscan is a bioinformatics best-practice analysis pipeline for the screening of nucleotide sequences such as assembled contigs for functional genes. It currently features mining for antimicrobial peptides, antibiotic resistance genes and biosynthetic gene clusters. The pipeline is built using Nextflow, a workflow tool to run tasks across multiple compute infrastructures in a very portable manner. It uses Docker/Singularity containers making installation trivial and results highly reproducible. The Nextflow DSL2 implementation of this pipeline uses one container per process which makes it much easier to maintain and update software dependencies. Where possible, these processes have been submitted to and installed from nf-core/modules in order to make them available to all nf-core pipelines, and to everyone within the Nextflow community! On release, automated continuous integration tests run the pipeline on a full-sized dataset on the AWS cloud infrastructure. This ensures that the pipeline runs on AWS, has sensible resource allocation defaults set to run on real-world datasets, and permits the persistent storage of results to benchmark between pipeline releases and other analysis sources. The results obtained from the full-sized test can be viewed on the nf-core website. The nf-core/funcscan AWS full test dataset are contigs generated by the MGnify service from the ENA. We used contigs generated from assemblies of chicken cecum shotgun metagenomes (study","default_branch":null,"files":null,"tree":[],"storefront":"/r/nf-core","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/nf-core/funcscan/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}