Workflows

What is a Workflow?
763 Workflows visible to you, out of a total of 825
No description specified

Type: Common Workflow Language

Creators: None

Submitter: Aishwarya Iyer

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Type: Nextflow

Creator: Pixelgen Technologies AB

Submitter: WorkflowHub Bot

Point-based Individual Tree Delineation from 3D LiDAR Point Cloud Data.

This module implements a lightweight and easy-to-use Point-based method for individual tree delineation from 3D point cloud data using pure C/C++.

The source code files are included in folder [TreeSeparation], which consists of a project generated from Visual Studio 2015. The CLASS for tree separation is named "FoxTree" and can be found in the respect FoxTree.h and FoxTree.cpp files.

Inupt

The ...

Type: Unrecognized workflow type

Creators: None

Submitter: Jinhu Wang

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Type: Nextflow

Creators: None

Submitter: WorkflowHub Bot

The workflow starts with selecting EH38E2924876 as the search term. Genomic position of provided unique regulatory element identifier was retrieved from CFDE Linked Data Hub[1]. A list of variants in the region of the regulatory element was retrieved from CFDE Linked Data Hub[1]. Variant/variant set associated allele specific epigenomic signatures were retrieved from CFDE LDH[5] based on Roadmap and ENTEx data[6], [4]. GTEx eQTL and sQTL evidence for the given variant(s) were retrieved from CFDE ...

Type: Playbook Workflow Builder Workflow

Creator: Playbook Partnership NIH CFDE

Submitter: Daniel Clarke

DOI: 10.48546/workflowhub.workflow.1249.2

A file containing GEO Aging Signatures was first uploaded. The file containing GEO Aging Signatures was loaded as a gene signature. A file containing GTEx Aging Signatures was first uploaded. The file containing GTEx Aging Signatures was loaded as a gene signature. Significant genes were extracted from the GEO Aging Signatures. Significant genes were extracted from the GTEx Aging Signatures. Reversers and mimickers from over 1 million signatures were identified using SigCom LINCS[1]. Resolved ...

Type: Playbook Workflow Builder Workflow

Creator: Playbook Partnership NIH CFDE

Submitter: Daniel Clarke

DOI: 10.48546/workflowhub.workflow.1248.1

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Type: Nextflow

Creators: James A. Fellows Yates, Sofia Stamouli, Moritz E. Beber, Lauri Mesilaakso, Thomas A. Christensen II, Jianhong Ou, Mahwash Jamy, Maxime Borry, Rafal Stepien, Tanja Normark

Submitter: WorkflowHub Bot

A file was first uploaded. The file was parsed as a gene count matrix. Significantly over-expressed genes when compared to tissue expression in GTEx[1] were identified. RNA-seq-like LINCS L1000 Signatures[3] which mimick or reverse the the expression of IMP3 were visualized. Drugs which down-regulate the expression of IMP3 were identified from the RNA-seq-like LINCS L1000 Chemical Perturbagens[3]. Genes which down-regulate the expression of IMP3 were identified from the RNA-seq-like LINCS L1000 ...

Type: Playbook Workflow Builder Workflow

Creator: Playbook Partnership NIH CFDE

Submitter: Daniel Clarke

DOI: 10.48546/workflowhub.workflow.1246.1

The workflow starts with selecting RPE as the search term. For the given gene ID (SYMBOL), StringDB PPI was extracted using their API[1]. For the Given StringDB PPI, the list of nodes (Gene Set) is generated. For the Given StringDB PPI, the list of nodes (GeneSet) is generated. Reversers and mimickers from over 1 million signatures were identified using SigCom LINCS[2]. The gene set was submitted to Enrichr[4]. The gene set was then searched in the Metabolomics Workbench[5] to identify relevant ...

Type: Playbook Workflow Builder Workflow

Creator: Playbook Partnership NIH CFDE

Submitter: Daniel Clarke

DOI: 10.48546/workflowhub.workflow.1245.1

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