Workflows

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 ...

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 ...

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 ...

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 ...

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

High-Performance Computing (HPC) environments are integral to quantum chemistry and computationally intense research, yet their complexity poses challenges for non-HPC experts. Navigating these environments proves challenging for researchers lacking extensive computational knowledge, hindering efficient use of domain specific research software. The prediction of mass spectra for in silico annotation is therefore inaccessible for many wet lab scientists. Our main goal is to facilitate non-experts ...

A R workflow for proteomics data analysis is reported. This pipeline was basing on protein expression projects, stored on the PRIDE database and reported on the COVID-19 Data portal. This is an R pipeline to analyze protein expression data, built on lung cell lines infected by SARS-CoV-2 variants: ​B.1, Delta, and Omicron BA.1 (Mezler et al. 2023) https://www.ebi.ac.uk/pride/archive/projects/PXD037265. This pipeline can obtain DEPs for each variant, starting from normalized protein expression ...

This workflow provides a calculaiton of the power spectrum of Stochastic Gravitational Wave Backgorund (SGWB) from a first-order cosmological phase transition based on the parameterisations of Roper Pol et al. (2023). The power spectrum includes two components: from the sound waves excited by collisions of bubbles of the new phase and from the turbulence that is induced by these collisions.

The cosmological epoch of the phase transition is described by the temperature, T_star and by the number(s) ...

The tool provides a calculation of the power spectrum of Stochastic Gravitational Wave Backgorund (SGWB) from a first-order cosmological phase transition based on the parameterisations of Roper Pol et al. (2023). The power spectrum includes two components: from the sound waves excited by collisions of bubbles of the new phase and from the turbulence that is induced by these collisions.

The cosmological epoch of the phase transition is described by the temperature, T_star and by the number(s) of ...

Protype demonstrator of a workflow reducing HESS and INTEGRAL/SPI-ACS data to common Light Curve format and combining the lightcurves into a multi-wavelength observation.