Workflows

What is a Workflow?
519 Workflows visible to you, out of a total of 550
Work-in-progress

Autosubmit mHM test domains

Type: Autosubmit

Creator: Bruno P. Kinoshita

Submitter: Bruno P. Kinoshita

Stable

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bio.tools Snakemake Deploy Docker image ...

Type: Snakemake

Creators: Ivan Topolsky, Kim Philipp Jablonski

Submitter: Ivan Topolsky

Stable

The workflow takes trimmed HiC forward and reverse reads, and Hap1/Hap2 assemblies to produce Hap1 and Hap2 scaffolded assemblies using YaHS. It also runs all the QC analyses (gfastats, BUSCO, Merqury and Pretext).

Type: Galaxy

Creators: Diego De Panis, ERGA

Submitter: Diego De Panis

Work-in-progress

Correlation between Phenotypic and In Silico Detection of Antimicrobial Resistance in Salmonella enterica in Canada Using Staramr.

Doi: 10.3390/microorganisms10020292

Type: Galaxy

Creators: None

Submitter: Dennis Dollée

Work-in-progress

With this galaxy pipeline you can use Salmonella sp. next generation sequencing results to predict bacterial AMR phenotypes and compare the results against gold standard Salmonella sp. phenotypes obtained from food.

This pipeline is based on the work of the National Food Agency of Canada. Doi: 10.3389/fmicb.2020.00549

Type: Galaxy

Creators: None

Submitter: Dennis Dollée

Stable

Name: SparseLU Contact Person: support-compss@bsc.es Access Level: public License Agreement: Apache2 Platform: COMPSs

Description

The Sparse LU application computes an LU matrix factorization on a sparse blocked matrix. The matrix size (number of blocks) and the block size are parameters of the application.

As the algorithm progresses, the area of the matrix that is accessed is smaller; concretely, at each iteration, the 0th row and column of the current matrix are discarded. ...

Type: COMPSs

Creators: Jorge Ejarque, The Workflows and Distributed Computing Team (https://www.bsc.es/discover-bsc/organisation/scientific-structure/workflows-and-distributed-computing)

Submitter: Raül Sirvent

DOI: 10.48546/workflowhub.workflow.515.1

Stable

A variation of the Cancer variant annotation (hg38 VEP-based) workflow at https://doi.org/10.48546/workflowhub.workflow.607.1.

Like that other workflow it takes a list of tumor/normal sample pair variants in VCF format (see the other workflow for details about the expected format) and

  1. annotates them using the ENSEMBL Variant Effect Predictor and custom annotation data
  2. turns the annotated VCF into a MAF file for import into cBioPortal
  3. generates human-readable variant- and gene-centric ...

Type: Galaxy

Creator: Wolfgang Maier

Submitter: Wolfgang Maier

DOI: 10.48546/workflowhub.workflow.629.1

Stable

Call somatic, germline and LoH event variants from PE Illumina sequencing data obtained from matched pairs of tumor and normal tissue samples.

This workflow can be used with whole-genome and whole-exome sequencing data as input. For WES data, parts of the analysis can be restricted to the exome capture kits target regions by providing the optional "Regions of Interest" bed dataset.

The current version uses bwa-mem for read mapping and varscan somatic for variant calling and somatic status ...

Type: Galaxy

Creator: Wolfgang Maier

Submitter: Wolfgang Maier

DOI: 10.48546/workflowhub.workflow.628.1

Stable

Name: Matrix multiplication with Objects Contact Person: support-compss@bsc.es Access Level: public License Agreement: Apache2 Platform: COMPSs

Description

Matrix multiplication is a binary operation that takes a pair of matrices and produces another matrix.

If A is an n×m matrix and B is an m×p matrix, the result AB of their multiplication is an n×p matrix defined only if the number of columns m in A is equal to the number of rows m in B. When multiplying A and B, the ...

Type: COMPSs

Creators: Javier Conejero, The Workflows and Distributed Computing Team (https://www.bsc.es/discover-bsc/organisation/scientific-structure/workflows-and-distributed-computing/)

Submitter: Raül Sirvent

DOI: 10.48546/workflowhub.workflow.627.1

MMV Im2Im Transformation

Build Status

A generic python package for deep learning based image-to-image transformation in biomedical applications

The main branch will be further developed in order to be able to use the latest state of the art techniques and methods in the future. To reproduce the results of our manuscript, we refer to the branch ...

Type: Python

Creator: Justin Sonneck

Submitter: Justin Sonneck

DOI: 10.48546/workflowhub.workflow.626.1

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