Workflows

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738 Workflows visible to you, out of a total of 793
PhysioNet CascadeSVM Kfold

Name: PhysioNet CascadeCSVM Kfold Contact Person: support-compss@bsc.es Access Level: public License Agreement: Apache2 Platform: COMPSs Machine: MareNostrum5

Kfold to evaluate CascadeCSVM accuracy on PhysioNet dataset (https://b2drop.bsc.es/index.php/s/8Q8MefXX2rrzaWs). This application used dislib-0.9.0

Type: COMPSs

Creator: Fernando Vázquez-Novoa

Submitter: Fernando Vázquez-Novoa

DOI: 10.48546/workflowhub.workflow.1124.1

PhysioNet RF Kfold

Name: PhysioNet RF Kfold Contact Person: support-compss@bsc.es Access Level: public License Agreement: Apache2 Platform: COMPSs Machine: MareNostrum5

Kfold to evaluate RandomForest accuracy on PhysioNet dataset (https://b2drop.bsc.es/index.php/s/8Q8MefXX2rrzaWs). This application used dislib-0.9.0

Type: COMPSs

Creator: Fernando Vázquez-Novoa

Submitter: Fernando Vázquez-Novoa

DOI: 10.48546/workflowhub.workflow.1122.1

Genome assembly workflow for nanopore reads, for TSI

Genome assembly workflow for nanopore reads, for TSI

Input:

  • Nanopore reads (can be in format: fastq, fastq.gz, fastqsanger, or fastqsanger.gz)

Optional settings to specify when the workflow is run:

  • [1] how many input files to split the original input into (to speed up the workflow). default = 0. example: set to 2000 to split a 60 GB read file into 2000 files of ~ 30 MB.
  • [2] filtering: min average read quality score. default = 10
  • [3] filtering: min read length. default = 200
  • [4] ...

Type: Galaxy

Creator: Anna Syme

Submitter: Anna Syme

DOI: 10.48546/workflowhub.workflow.1114.1

Full Analyse Argo data

Process argo data with the Pangeo Ecosystem and visualise them with Ocean Data View (ODV)

Type: Galaxy

Creator: Marie Jossé

Submitter: Marie Jossé

Workflow for differential expression analysis in proteomics data and overlaying DEPs on COVID-19 Disease Map

A R workflow for proteomics data analysis is reported. This pipeline was basing on protein expression projects, stored on the PRIDE database and reported on the COVID-19 Data portal. This is an R pipeline to analyze protein expression data, built on lung cell lines infected by SARS-CoV-2 variants: ​B.1, Delta, and Omicron BA.1 (Mezler et al. 2023) https://www.ebi.ac.uk/pride/archive/projects/PXD037265. This pipeline can obtain DEPs for each variant, starting from normalized protein expression ...

Type: R markdown

Creator: Francesco Messina

Submitter: Francesco Messina

nf-core/pairgenomealign

Pairwise alignment pipeline (genome to genome or reads to genome)

Type: Nextflow

Creators: charles-plessy , charles-plessy

Submitter: WorkflowHub Bot

Protein-protein and protein-nucleic acid binding site prediction via interpretable hierarchical geometric deep learning
Stable

GraphRBF is a state-of-the-art protein-protein/nucleic acid interaction site prediction model built by enhanced graph neural networks and prioritized radial basis function neural networks. This project serves users to use our software to directly predict protein binding sites or train our model on a new database. Identification of protein-protein and protein-nucleic acid binding sites provides insights into biological processes related to protein functions and technical guidance for disease ...

Type: BioCompute Object

Creator: 仕卓 张

Submitter: 仕卓 张

DOI: 10.48546/workflowhub.workflow.1107.1

Swedish Earth Biogenome Project Genome Assembly Workflow
Work-in-progress

Swedish Earth Biogenome Project - Genome Assembly Workflow

The primary genome assembly workflow for the Earth Biogenome Project at NBIS.

Workflow overview

General aim:

flowchart LR 
hifi[/ HiFi reads /] --> data_inspection 
ont[/ ONT reads /] --> data_inspection 
hic[/ Hi-C reads /] --> data_inspection 
data_inspection[[ Data inspection ]] --> preprocessing 
preprocessing[[ Preprocessing ]] --> assemble 
assemble[[ Assemble ]] --> validation 
validation[[ Assembly
...

Type: Nextflow

Creators: Mahesh Binzer-Panchal, Martin Pippel

Submitter: Mahesh Binzer-Panchal

Marine Omics identifying biosynthetic gene clusters

Secondary metabolite biosynthetic gene cluster (SMBGC) Annotation using Neural Networks Trained on Interpro Signatures

Type: Galaxy

Creator: Marie Jossé

Submitter: Marie Jossé

ERGA-BGE Genome Report ANNOT analyses
Stable

The workflow requires the user to provide:

  • ENSEMBL link address of the annotation GFF3 file
  • ENSEMBL link address of the assembly FASTA file
  • NCBI taxonomy ID
  • BUSCO lineage
  • OMArk database

Thw workflow will produce statistics of the annotation based on AGAT, BUSCO and OMArk.

Type: Galaxy

Creators: Diego De Panis, ERGA

Submitter: Diego De Panis

DOI: 10.48546/workflowhub.workflow.1096.1

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