工作流程
计算机科学
转录组
冗余(工程)
过程(计算)
容器(类型理论)
数据挖掘
计算生物学
顺序装配
从头转录组组装
Ensembl公司
分布式计算
数据库
参考基因组
软件工程
自动化
工作流引擎
工作流技术
软件
作者
Avani Bhojwani,Timothy A. Little,Cameron Hyde,Tomer Ventura
摘要
Bulk RNA-sequencing (RNA-seq) is commonly used for identifying and characterizing genes through annotation, phylogeny, and differential expression analysis. For organisms without a reference genome, the need to generate a de novo transcriptome assembly for analyzing these data can prove challenging, as it is a multi-step process requiring many tools and computational resources. Therefore, a standardized and reproducible workflow using current best practices is required. We introduce the nf-core/denovotranscript workflow, an open-source solution built using Nextflow and the nf-core framework. The protocols here describe how the workflow can be used to perform pre-processing, de novo transcriptome assembly, redundancy reduction, assembly quality assessment, and quantification using RNA-seq data. This workflow offers simple installation and thorough documentation. The use of Docker, Singularity, and Podman container technologies also makes it portable across various computing environments. © 2025 Wiley Periodicals LLC. Basic Protocol: Running nf-core/denovotranscript for de novo transcriptome assembly and quantification Support Protocol: Installation and configuration for command line usage.
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