Workflows
What is a Workflow?Filters
Galaxy workflow for the reproduction of the results published in: D. Decarolis, A. H. Clark, T. Pellegrinelli, M. Nachtegaal, E. W. Lynch, C. R. A. .Catlow, E. K. Gibson, A. Goguet, P. P. Wells (2021). Spatial Profiling of a Pd/Al2O3 Catalyst during Selective Ammonia Oxidation DOI: 10.1021/acscatal.0c05356.
This workflow is published as part of the research data submitted for the paper Facilitating Reproducibility in Catalysis Research with Managed Workflows and RO-Crates: A Galaxy Case Study, ...
Type: Galaxy
Creators: Patrick Austin, Alexander Belozerov, Subindev Devadasan, Leandro Liborio, Abraham Nieva de la Hidalga, Tom Underwood
Submitter: Patrick Austin
Galaxy workflow for the reproduction of the results published in: R. H. Blackmore, M. E. Rivas, T. Eralp Erden, T. Dung Tran, H. R. Marchbank, D. Ozkaya, M. Briceno de Gutierrez, A. Wagland, P. Collier, P. P. Wells (2018). Understanding the mechanochemical synthesis of the perovskite LaMnO3 and its catalytic behaviour DOI: 10.1039/C9DT03590G.
This workflow is published as part of the research data submitted for the paper Facilitating Reproducibility in Catalysis Research with Managed Workflows ...
Type: Galaxy
Creators: Patrick Austin, Alexander Belozerov, Subindev Devadasan, Leandro Liborio, Abraham Nieva de la Hidalga, Tom Underwood
Submitter: Patrick Austin
Galaxy workflow for with the reproduction of the results published in: C. Stewart, E. K. Gibson, K. Morgan, G. Cibin, A. J. Dent, C. Hardacre, E. V. Kondratenko, V. A. Kondratenko, C. McManus, S. M. Rogers, C. E. Stere, S. Chansai, Y. -C. Wang, S. J. Haigh, P. P. Wells, A. Goguet (2018). Unraveling the H2Promotional Effect on Palladium-Catalyzed CO Oxidation Using a Combination of Temporally and Spatially Resolved Investigations DOI: 10.1021/acscatal.8b01509.
This workflow is published as part ...
Type: Galaxy
Creators: Patrick Austin, Alexander Belozerov, Subindev Devadasan, Leandro Liborio, Abraham Nieva de la Hidalga, Tom Underwood
Submitter: Patrick Austin
Galaxy workflow for the reproduction of the results published in: George F. Tierney, Donato Decarolis, Norli Abdullah, Scott M. Rogers, Shusaku Hayama, Martha Briceno de Gutierrez, Alberto Villa, C. Richard A. Catlow, Paul Collier, Nikolaos Dimitratos and Peter P. Wells (2019) Extracting structural information of Au colloids at ultra-dilute concentrations: identification of growth during nanoparticle immobilization. Nanoscale Advances. V. 1. pp. 2546-2552. DOI: 10.1039/C9NA00159J.
This workflow ...
Type: Galaxy
Creators: Patrick Austin, Alexander Belozerov, Subindev Devadasan, Leandro Liborio, Abraham Nieva de la Hidalga, Tom Underwood
Submitter: Patrick Austin
Galaxy workflow for the reproduction of the results published in: Antonis M. Messinis, Stephen L. J. Luckham, Peter P. Wells, Diego Gianolio, Emma K. Gibson, Harry M. O’Brien, Hazel A. Sparkes, Sean A. Davis, June Callison, David Elorriaga, Oscar Hernandez-Fajardo & Robin B. Bedford (2019) The highly surprising behaviour of diphosphine ligands in iron-catalysed Negishi cross-coupling Nature Catalysis, 2019, 2, 123-133 DOI: 10.1038/s41929-018-0197-z.
This workflow is published as part of the ...
Type: Galaxy
Creators: Patrick Austin, Alexander Belozerov, Subindev Devadasan, Leandro Liborio, Abraham Nieva de la Hidalga, Tom Underwood
Submitter: Patrick Austin
Galaxy workflow for the reproduction of the results published in: H. Huang, A. B. A. A. Nassr, V. Celorrio, S. F. R. Taylor, V. K. Puthiyapura, C. Hardacre, D. J. L. Brett, A. E. Russell. (2018) Effects of heat treatment atmosphere on the structure and activity of Pt3Sn nanoparticle electrocatalysts: a characterisation case study. Faraday Discussions. V. 208. pp. 555-573. DOI: 10.1039/c7fd00221a.
This workflow is published as part of the research data submitted for the paper Facilitating ...
Type: Galaxy
Creators: Patrick Austin, Alexander Belozerov, Subindev Devadasan, Leandro Liborio, Abraham Nieva de la Hidalga, Tom Underwood
Submitter: Patrick Austin
Modified workflow to perform Voronoi segmentation, based on https://usegalaxy.eu/published/workflow?id=23030421cd9fcfb2.
Input requirements:
- RA: -- right ascension in degrees as a float number.
- Dec: -- Declination in degrees as a float number
- Radius: -- the radius of the cone to be queried in arcminutes as a float number
- Pixel size: -- the size of the pixel in arcseconds
- Band: -- the band (channel) of the image: g, r, z, i
Colorectal-cancer-detection-using-ColoPola-dataset
Methods
We trained and tested three models from scratch (CNN, CNN_2 and EfficientFormerV2) and two pretrained models (DenseNet121 and EfficientNetV2-m) to classify the colorectal cancer using the ColoPola dataset.
ColoPola dataset
The dataset consists of 572 slices (specimens) with 20,592 images. There are 284 cancer samples and 288 normal samples. This dataset can download from Zenodo repository. ...
Type: Python
Creators: Thi-Thu-Hien Pham, Thao-Vi Nguyen, The-Hiep Nguyen, Quoc-Hung Phan, Thanh-Hai Le
Submitter: Thanh-Hai Le
CryoDataBot
CryoDataBot is an automated pipeline designed to streamline dataset generation for cryogenic electron microscopy (cryoEM)-based atomic model building. It supports large-scale AI training and benchmarking by providing standardized tools for data retrieval, preprocessing, labeling, and quality control. CryoDataBot enables flexible configurations for diverse biomolecular structures, improves modeling reproducibility, and facilitates retraining of AI models such as U-Net and CryoREAD. ...
Type: Python
Creators: Qibo Xu, Hong Zhou, Leon Wu, Micahel Rebelo, Shi Feng, Star Yu, Farhanaz Farheen, Daisuke Kihara
Submitter: Qibo Xu