Assembly and intrahost/low-frequency variant calling for viral samples

The workflow takes ONT reads collection, runs SeqKit and Nanoplot. The main outputs are a table and plots of raw reads stats.

ONTViSc (ONT-based Viral Screening for Biosecurity)

Introduction

eresearchqut/ontvisc is a Nextflow-based bioinformatics pipeline designed to help diagnostics of viruses and viroid pathogens for biosecurity. It takes fastq files generated from either amplicon or whole-genome sequencing using Oxford Nanopore Technologies as input.

The pipeline can either: 1) perform a direct search on the sequenced reads, 2) generate clusters, 3) assemble the reads to generate longer contigs or 4) directly ...

MoP2- DSL2 version of Master of Pores

[![Nextflow ...

microPIPE was developed to automate high-quality complete bacterial genome assembly using Oxford Nanopore Sequencing in combination with Illumina sequencing.

To build microPIPE we evaluated the performance of several tools at each step of bacterial genome assembly, including basecalling, assembly, and polishing. Results at each step were validated using the high-quality ST131 Escherichia coli strain EC958 (GenBank: HG941718.1). After appraisal of each step, we selected the best combination of ...

COVID-19: variation analysis on ARTIC ONT data

This workflow for ONT-sequenced ARTIC data is modeled after the alignment/variant-calling steps of the ARTIC pipeline. It performs, essentially, the same steps as that pipeline’s minion command, i.e. read mapping with minimap2 and variant calling with medaka. Like the Illumina ARTIC workflow it uses ivar for primer trimming. Since ONT-sequenced reads have a much ...

Metagenomics: taxa classification

Genome assembly: Unicycler-based WF for Klebsiella pneumoniae [Wick et al. Microbial genomics 2017]

Genome assembly: Flye-based WF for highly repetitive genomes [Schmid et al. NAR 2018]

Collection of de-novo genome assembly workflows written for implementation in Galaxy

Input data should be Oxford Nanopore raw reads plus Illumina WGS reads and Illumina 3-dimensional Chromatin Confirmation Capture (HiC) reads

Executing all workflows will output one scaffolded collapsed assembly and the complete QC analyses

Please run the workflows in order: WF0 (there are two, one for ONT, and another one for Illumina that can be used independently for the WGS and HiC reads), WF1, WF2, WF3, WF4

Collection of de-novo genome assembly workflows written for implementation in Galaxy

Input data should be Oxford Nanopore raw reads plus Illumina WGS reads and Illumina 3-dimensional Chromatin Confirmation Capture (HiC) reads

Executing all workflows will output one scaffolded collapsed assembly and the complete QC analyses

Please run the workflows in order: WF0 (there are two, one for ONT, and another one for Illumina that can be used independently for the WGS and HiC reads), WF1, WF2, WF3, WF4