Abstract (Expand)
Authors: Stian Soiland-Reyes, Genís Bayarri, Pau Andrio, Robin Long, Douglas Lowe, Ania Niewielska, Adam Hospital
Date Published: 7th Mar 2021
Publication Type: Journal
DOI: 10.1162/dint_a_00135
Citation:
invited presentation at https://researchsoft.github.io/FAIReScience/, FAIReScience 2021 online workshop virtually co-located with the 17th IEEE International Conference on eScience (eScience 2021)
20th Sept 2021
Creator: Carole Goble
Submitter: Carole Goble
Keynote Presented at the ICTeSSH 2021 Conference to Social Science and Humanities. ICTeSSH 2021, 30th June 2021
https://ictessh.uns.ac.rs/ In data intensive science multi-step tool-chains are widely used to help scientists manage, analyze, and share increasing volumes of complex data. The use of computational workflows to manage these multi-step computational processes has accelerated in the past few years driven by the need for scalable data processing, the exchange of processing know-how, and ...
Creator: Carole Goble
Submitter: Carole Goble
Keynote JOBIM 2021 (French Bioinformatics Conference)
FAIR Computational Workflows https://jobim2021.sciencesconf.org/ 8 July 2021
Computational workflows capture precise descriptions of the steps and data dependencies needed to carry out computational data pipelines, analysis and simulations in many areas of Science, including the Life Sciences. The use of computational workflows to manage these multi-step computational processes has accelerated in the past few years driven by the need for ...
Creator: Carole Goble
Submitter: Carole Goble
Keynote at German Conference on Bioinformatics 2021 https://gcb2021.de/ FAIR Computational Workflows Computational workflows capture precise descriptions of the steps and data dependencies needed to carry out computational data pipelines, analysis and simulations in many areas of Science, including the Life Sciences. The use of computational workflows to manage these multi-step computational processes has accelerated in the past few years driven by the need for scalable data processing, the ...
Creator: Carole Goble
Submitter: Carole Goble
Workflow to perform nuclei cell counting on High Content Screening (HCS) Data and upload result into OMERO
In this workflow, cell images are first uploaded to both Galaxy and OMERO using the “OMERO Image Import” tool. Concurrently, image processing is performed. After thresholding and binarization, key features of nuclei, such as area, label number, and perimeter, are computed from the processed images and saved as a CSV file. The result file is then attached to each image stored in OMERO using ...
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.
This workflow is designed to analyze to a multi-omics data set that comprises genome-wide DNA methylation profiles, targeted metabolomics, and behavioral data of two cohorts that participated in the ACTION Biomarker Study (ACTION, Aggression in Children: Unraveling gene-environment interplay to inform Treatment and InterventiON strategies. (Boomsma 2015, Bartels 2018, Hagenbeek 2020, van Dongen 2021, Hagenbeek 2022). The ACTION-NTR cohort consists of twins that are either longitudinally concordant ...