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CITATION.cff
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cff-version: 1.2.0
title: 'Workflomics: Bioinformatics Workflow Generation and Benchmarking'
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Vedran
family-names: Kasalica
email: [email protected]
affiliation: Netherlands eScience Center, Netherlands
orcid: 'https://orcid.org/0000-0002-0097-1056'
- family-names: Peter
given-names: Kok
email: [email protected]
affiliation: Netherlands eScience Center, Netherlands
orcid: 'https://orcid.org/0000-0002-6630-7326'
- family-names: Nauman
given-names: Ahmed
email: [email protected]
affiliation: Netherlands eScience Center, Netherlands
orcid: 'https://orcid.org/0000-0003-3559-9941'
- family-names: Felipe
given-names: Morato
email: [email protected]
affiliation: CSC - IT Center for Science, Finland
orcid: 'https://orcid.org/0009-0008-1501-4073'
- family-names: Rob
given-names: Marissen
email: [email protected]
affiliation: Leiden University Medical Center, Netherlands
orcid: 'https://orcid.org/0000-0002-1220-9173'
- family-names: Anna-Lena
given-names: Lamprecht
email: [email protected]
affiliation: University of Potsdam, Germany
orcid: 'https://orcid.org/0000-0003-1953-5606'
- family-names: Magnus
given-names: Palmblad
email: [email protected]
affiliation: Leiden University Medical Center, Netherlands
orcid: 'https://orcid.org/0000-0002-5865-8994'
identifiers:
- type: doi
value: 10.5281/zenodo.10047136
repository-code: 'https://github.com/workflomics/workflomics-frontend'
url: 'https://github.com/workflomics/workflomics-frontend'
abstract: >-
The Workflomics platform aims to address the challenge faced by life science researchers who work with increasingly large and complex datasets and struggle to create optimal workflows for their data analysis problems.
The platform facilitates a "Great Bake Off" of computational workflows in bioinformatics by integrating bioinformatics tools and metadata with technologies for automated workflow exploration and benchmarking. This enables a systematic and rigorous approach to the development of cutting-edge workflows, specifically in the field of proteomics, to increase scientific quality, robustness, reproducibility, FAIRness, and maintainability.
The platform currently focuses on the proteomics domain. We aim to extend the platform to additional domains, e.g., metabolomics, genomics.
keywords:
- bioinformatics
- workflow benchmarking
license: Apache-2.0
commit: bb02154d29104b2667006e12d37239a3d382b75d
version: 0.1.1
date-released: '2023-11-12'