This workflow has been created as part of Demonstrator 6 of the project EOSC-Life (within WP3) and is focused on reusing publicly available RNAi screens to gain insights into the nucleolus biology. The workflow downloads images from the Image Data Resource (IDR), performs object segmentation (of nuclei and nucleoli) and feature extraction of the images and objects identified.

Tutorial: https://training.galaxyproject.org/training-material/topics/imaging/tutorials/tutorial-CP/tutorial.html

IDR is based on OMERO and thus all what we show in this notebook can be easily adjusted for use against another OMERO server, e.g. your institutional OMERO server instance.

The main objective of this notebook is to demonstrate how public resources such as the IDR can be used to train your neural network or validate software tools.

The authors of the PLOS Biology paper, "Nessys: A new set of tools for the automated detection of nuclei within intact tissues and dense 3D cultures" published in August ...

Learning objectives

• Read data to analyse from an object store.
• Analyse data in parallel using Dask.
• Show how to use public resources to train neural network.
• Load labels associated to the original data
• Compare results with ground truth.

The authors of the PLOS Biology paper, "Nessys: A new set of tools for the automated detection of nuclei within intact tissues and dense 3D cultures" published in August 2019: https://doi.org/10.1371/journal.pbio.3000388, considered several image ...

The image is referenced in the paper "NesSys: a novel method for accurate nuclear segmentation in 3D" published August 2019 in PLOS Biology: https://doi.org/10.1371/journal.pbio.3000388 and can be viewed online in the Image Data Resource.

This original image was converted into the Zarr format. The analysis results produced by the authors of the paper were converted into labels and linked to the Zarr file which was placed into a public ...

Learning Objectives

• How to access genomic resource via its Python API
• How to access image resource via its Python API
• Relate image data to genomic data

Diabetes related genes expressed in pancreas

This notebook looks at the question Which diabetes related genes are expressed in the pancreas? Tissue and disease can be modified.

Steps:

• Query humanmine.org, an integrated database of Homo sapiens genomic data using the intermine API to find the ...

BatchConvert

A command line tool for converting image data into either of the standard file formats OME-TIFF or OME-Zarr.

The tool wraps the dedicated file converters bfconvert and bioformats2raw to convert into OME-TIFF or OME-Zarr, respectively. The workflow management system NextFlow is used to perform conversion in parallel for batches of images.

The tool also wraps s3 and Aspera clients (go-mc and aspera-cli, respectively). ...

Workflow for tracking objects in Cell Profiler: https://training.galaxyproject.org/training-material/topics/imaging/tutorials/object-tracking-using-cell-profiler/tutorial.html