Workflows

What is a Workflow?
359 Workflows visible to you, out of a total of 390

This workflows contains a pipeline in Scipion that performs the following steps:

1.1) Import small molecules: introduces a set of small molecular structures in the pipeline as prospective ligands

1.2) Import atomic structure: introduces a protein atomic structure in the pipeline as receptor.

2.1) Ligand preparation: uses RDKit to prepare the small molecules optimizing their 3D structure.

2.2) Receptor preparation: uses bioPython to prepare the receptor structure, removing waters, adding hydrogens ...

Type: Scipion

Creators: None

Submitter: Daniel Del Hoyo

Work-in-progress

This workflow performs the most basic Virtual Drug Screening Pipeline to import a set of small molecules and dock them to an imported protein structure.

Type: Scipion

Creators: None

Submitter: Daniel Del Hoyo

Stable

BVSim: A Benchmarking Variation Simulator Mimicking Human Variation Spectrum

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Table of Contents

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

DOI: 10.48546/workflowhub.workflow.1361.1

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)
...

Type: R markdown

Creators: None

Submitter: Tyler Lovelace

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 ...

Type: Python

Creator: Zhi Song

Submitter: Zhi Song

DOI: 10.48546/workflowhub.workflow.1305.1

Deprecated
No description specified

Type: KNIME

Creator: Kateřina Storchmannová

Submitter: Kateřina Storchmannová

Deprecated

Current version of this workflow: https://workflowhub.eu/workflows/1109. Please use only with the new version. KNIME workflow to gather ChEMBL permeability data is availbale: https://workflowhub.eu/workflows/1169.

Type: KNIME

Creator: Kateřina Storchmannová

Submitter: Kateřina Storchmannová

gSpreadComp: Streamlining Microbial Community Analysis for Resistance, Virulence, and Plasmid-Mediated Spread

Overview

gSpreadComp is a UNIX-based, modular bioinformatics toolkit designed to streamline comparative genomics for analyzing microbial communities. It integrates genome annotation, gene spread calculation, plasmid-mediated horizontal gene transfer (HGT) detection and resistance-virulence ranking within the analysed microbial community to help researchers identify potential ...

Type: Shell Script

Creator: Jonas Kasmanas

Submitter: Jonas Kasmanas

DOI: 10.48546/workflowhub.workflow.1340.3

Work-in-progress

AnnoAudit - Annotation Auditor

AnnoAudit is a robust Nextflow pipeline designed to evaluate the quality of genomic annotations through a multifaceted approach.

Overview of the workflow

The workflow assess the annotation quality based on different criteria:

  • Protein evidence support
  • RNASeq evidence support
  • Statistics of the predictions (i.e., gene length, exon number, etc.)
  • Ortholog analysis (BUSCO, OMArk)

Input data

  • Reference genome genome.[.fna, .fa, .fasta]
  • Annotation ...

Type: Nextflow

Creator: Phuong Doan

Submitter: Phuong Doan

DOI: 10.48546/workflowhub.workflow.1330.1

Stable

Prostate cancer classification workflow

This workflow segments tissue regions and classifies prostate cancer on H&E whole slide images, using AI. It consists of three steps:

  1. low-resolution tissue segmentation to select areas for further processing;

  2. high-resolution tissue segmentation to refine borders - it uses step 1 as input;

  3. high-resolution normal/cancer classification - it uses step 1 as input.

Type: Common Workflow Language

Creator: Mauro Del Rio

Submitter: Simone Leo

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