Workflows
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This workflow was built for the 2024 Bioinformatics Bootcamp at The Open University. It is meant to occur after the (universal) Filter, plot and explore tutorial to allow analysis of a single cluster.
BVSim: A Benchmarking Variation Simulator Mimicking Human Variation Spectrum
Table of Contents
- Getting Started
- Installation
- General Functions and Parameters
- Shared Parameters
- Output Naming Conventions
- [Write the Relative ...
Type: Unrecognized workflow type
Creators: Yongyi Luo, Zhen Zhang, Jiandong Shi, Jingyu Hao, Sheng Lian, Taobo Hu, Toyotaka Ishibashi, Depeng Wang, Shu Wang, Weichuan Yu, Xiaodan Fan
Submitter: Zhen Zhang
Create Meryl Database used for the estimation of assembly parameters and quality control with Merqury. Part of the VGP pipeline.
CausalCoxMGM
Implementation of CausalCoxMGM algorithm and scripts for analysis of simulated and real-world biomedical datasets.
Installation
To install CoxMGM and CausalCoxMGM, run the following command in the terminal:
R CMD INSTALL rCausalMGM
or alternatively:
R CMD INSTALL rCausalMGM/rCausalMGM_1.0.tar.gz
Demonstration of CausalCoxMGM with the WHAS500 dataset
First, we begin by loading the necessray R packages for this analysis.
library(rCausalMGM)
library(survival)
...
This workflow was developed for the 2024 Bioinformatics Bootcamp at The Open University. It imports datasets from the EBI SCXA, reformats then, and analyses them similar to the Filter, plot and explore Galaxy tutorial.
Type: Galaxy
Creators: Wendi Bacon, Julia Jakiela, The Open University
Submitter: Diana Chiang Jurado
PVGA is a powerful virus-focused assembler that does both assembly and polishing. For virus genomes, small changes will lead to significant differences in terms of viral function and pathogenicity. Thus, for virus-focused assemblers, high-accuracy results are crucial. Our approach heavily depends on the input reads as evidence to produce the reported genome. It first adopts a reference genome to start with. We then align all the reads against the reference genome to get an alignment graph. After ...
This workflow constructs Metagenome-Assembled Genomes (MAGs) using SPAdes or MEGAHIT as assemblers, followed by binning with four different tools and refinement using Binette. The resulting MAGs are dereplicated across the entire input sample set, then annotated and evaluated for quality. You can provide pooled reads (for co-assembly/binning), individual read sets, or a combination of both. The input samples must consist of the original reads, which are used for abundance estimation. In all cases, ...
Type: Galaxy
Creators: Bérénice Batut, Paul Zierep, Mina Hojat Ansari, Patrick Bühler, Santino Faack
Submitter: WorkflowHub Bot