Workflows

What is a Workflow?
1299 Workflows visible to you, out of a total of 1382
Stable

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, ...

Stable

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 ...

Stable

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 ...

Stable

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 ...

Stable

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 ...

Stable

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 ...

Stable

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
Stable

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

DOI: 10.48546/workflowhub.workflow.1797.1

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

DOI: 10.48546/workflowhub.workflow.1796.1

Work-in-progress

GitHub Actions CI Status GitHub Actions Linting StatusAWS CI[![Cite with ...

Type: Nextflow

Creators: Huihai Wu, Irene Papatheodorou, Yuxuan Lan, David Swarbreck

Submitter: Huihai Wu

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