Workflows
What is a Workflow?Filters
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 ...
Type: Unrecognized workflow type
Creators: Jean-Marie Burel, Petr Walczysko
Submitter: Jean-Marie Burel
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
- 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 ...
The notebook shows how to load an IDR image with labels.
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.
In this notebook, the image is loaded together with the labels and analyzed using StarDist. The StarDist analysis produces a segmentation, which is then viewed side-by-side with the original segmentations ...
Type: Unrecognized workflow type
Creators: Jean-Marie Burel, Petr Walczysko
Submitter: Jean-Marie Burel
Protein Conformational ensembles generation
Workflow included in the ELIXIR 3D-Bioinfo Implementation Study:
Building on PDBe-KB to chart and characterize the conformation landscape of native proteins
This tutorial aims to illustrate the process of generating protein conformational ensembles from** 3D structures **and analysing its molecular flexibility, step by step, using the BioExcel Building Blocks library (biobb).
...
Protein Conformational ensembles generation
Workflow included in the ELIXIR 3D-Bioinfo Implementation Study:
Building on PDBe-KB to chart and characterize the conformation landscape of native proteins
This tutorial aims to illustrate the process of generating protein conformational ensembles from** 3D structures **and analysing its molecular flexibility, step by step, using the BioExcel Building Blocks library (biobb).
...
Protein Conformational ensembles generation
Workflow included in the ELIXIR 3D-Bioinfo Implementation Study:
Building on PDBe-KB to chart and characterize the conformation landscape of native proteins
This tutorial aims to illustrate the process of generating protein conformational ensembles from** 3D structures **and analysing its molecular flexibility, step by step, using the BioExcel Building Blocks library (biobb).
...
Protein Conformational ensembles generation
Workflow included in the ELIXIR 3D-Bioinfo Implementation Study:
Building on PDBe-KB to chart and characterize the conformation landscape of native proteins
This tutorial aims to illustrate the process of generating protein conformational ensembles from** 3D structures **and analysing its molecular flexibility, step by step, using the BioExcel Building Blocks library (biobb).
...
Abstract CWL Automatically generated from the Galaxy workflow file: Copy of Genome-wide alternative splicing analysis
Phenotype similarity analysis
A Jupyter Notebook for analyzing phenotyping similarities across user specified genes. Phenotypes are retrieved from the MGI resource
Input
The tool takes as input a list of gene ids (MGI ids or Gene Symbol ids). The elemnts in the list could be separated by a comma, semicolumn, tab or newline.
Operation
The Notebook will create a table where row and columns names are the Gene Symbols of the input elements and each cell will contain the name of the ...