Abstract (Expand)
Authors: V. Murigneux, L. W. Roberts, B. M. Forde, M. D. Phan, N. T. K. Nhu, A. D. Irwin, P. N. A. Harris, D. L. Paterson, M. A. Schembri, D. M. Whiley, S. A. Beatson
Date Published: 25th Jun 2021
Publication Type: Journal
PubMed ID: 34172000
Citation: BMC Genomics. 2021 Jun 25;22(1):474. doi: 10.1186/s12864-021-07767-z.
Collection of de-novo genome assembly workflows written for implementation in Galaxy
Input data should be PacBio HiFi reads and Illumina 3-dimensional Chromatin Confirmation Capture (HiC) reads
Executing all workflows will output two, scaffolded, haplotype assemblies
Maintainers: Tom Brown, Diego De Panis
Number of items: 6
Tags: Assembly, Bioinformatics, Galaxy, Genomics, ONT, Genome assembly, HiFi
Oxford Nanopore QC pipeline which calculates basic statistics as well as filtering for longest reads and creating QC plots using Nanoplots
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 ...
Type: Nextflow
Creators: Valentine Murigneux, Leah W Roberts, Brian M Forde, Minh-Duy Phan, Nguyen Thi Khanh Nhu, Adam D Irwin, Patrick N A Harris, David L Paterson, Mark A Schembri, David M Whiley, Scott A Beatson
Submitter: Valentine Murigneux
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 ...
A workflow for mapping and consensus generation of SARS-CoV2 whole genome amplicon nanopore data implemented in the Nextflow framework. Reads are mapped to a reference genome using Minimap2 after trimming the amplicon primers with a fixed length at both ends of the amplicons using Cutadapt. The consensus is called using Pysam based on a majority read support threshold per position of the Minimap2 alignment and positions with less than 30x coverage are masked using ‘N’.
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]