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EPI2ME Labs Workflows

September 01, 2020
2 min read
EPI2ME Labs Workflows

EPI2ME Labs maintains a collection of Nextflow bioinformatics workflows tailored to Oxford Nanopore Technologies long-read sequencing data. They are curated and actively maintained by experts in long-read sequence analysis.

We are excited to offer our bioinformatics solutions using the Nextflow reactive workflow framework. Nextflow has been selected as a preferred framework because of its integration with container technologies, software package managers and its scalability to cluster- and cloud-scale installations. Nextflow also has growing user adoption through projects such as nf-core. These advantages will help us deliver varied workflows with minimal requirements for the installation of additional software.

See the Quick Start page for a walkthrough of using our workflows through EPI2ME Labs. Our workflows are also freely available to use from the command-line on Linux, macOS, and Windows through WSL2. See our Workflow Command-line Usage page for more information.

Available workflows

Below you will find a complete list of available workflows with a short description of each. Each description is accompanied by a link to the Github repository hosting the workflow and a sample workflow report.

Basic Tasks

  • wf-basecalling provides Oxford Nanopore Technolgies Technologies’ signal processing and primary data analysis in the form of a Nextflow workflows. (Sample report) (Documentation)
  • wf-alignment packages the minimap2 software and streamlines the process of mapping sequence reads to a reference genome and preparing summary statistics. It can also analyse the abundance of known molarity control experiments and use this information to derive the abundances of other species present in the sample. (Sample report) (Documentation)

Human genetics

  • wf-human-variation: our all-in-one human variation workflow consolidates both the small variant calling from wf-human-snp with the structural variant calling from wf-human-sv. This pipeline performs the steps of the two pipelines simultaneously and the results are generated and output in the same way as they would have been had the pipelines been run separately. Users should migrate their analyses to wf-human-variation as the separate wf-human-snp and wf-human-sv pipelines are no longer supported. (Sample report) (Documentation)
  • wf-cnv: a workflow for carrying out copy number analysis, using a read depth method implemented by the R package QDNAseq. (Documentation)

Assembly

Metagenomics

Direct RNA sequencing and cDNA

  • wf-transcriptomes: transcript assembly from cDNA or direct RNA reads using either a reference-guided or an experimental de novo reconstruction options. This workflow also provides differential gene expression and differential transcript usage analysis.
  • wf-single-cell is a research pipeline designed to identify the cell barcode and UMI sequences present in nanopore sequencing reads generated from single-cell gene expression libraries. (Sample report) (Documentation)

Infectious Disease

Miscellaneous


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