Workflows
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General workflow to upload data into OMERO using Galaxy
A dataset for testing can be found at: https://zenodo.org/records/14205500
Important Security Note: It is crucial to be aware that storing credentials as variables can pose security risks, particularly if accessed by administrators. Therefore, it is essential to handle user credentials securely and in accordance with best practices.
General workflow to upload data into OMERO using KNIME
The workflow consists of two main branches: the Green Branch, which imports a folder containing images, and the Purple Branch, which enables the annotation of metadata as key-value pairs.
- Fetching Images: The first step involves fetching images from a locally accessible folder.
- User Authentication: Users are prompted to input their OMERO username and password through a Java snippet. This information is then converted into ...
Single-cell RNA-seq workflow with Scanpy and Anndata. Based on the 3k PBMC clustering tutorial from Scanpy. It takes count matrix, barcodes and feature files as input and creates an Anndata object out of them. It then performs QC and filters for lowly expressed genes and cells. Then the data is normalized and scaled. Then PCs are computed to further cluster using louvain algorithm. It also generated various plots of clustering colored with highly ranked genes.
Type: Galaxy
Creators: Pavankumar Videm, Hans-Rudolf Hotz, Mehmet Tekman, Bérénice Batut
Submitter: WorkflowHub Bot
This workflow allows you to annotate a genome with Helixer and evaluate the quality of the annotation using BUSCO and Genome Annotation statistics. GFFRead is also used to predict protein sequences derived from this annotation, and BUSCO and OMArk are used to assess proteome quality.
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 ...