[HTML][HTML] The role of metadata in reproducible computational research

J Leipzig, D Nüst, CT Hoyt, K Ram, J Greenberg - Patterns, 2021 - cell.com
Reproducible computational research (RCR) is the keystone of the scientific method for in
silico analyses, packaging the transformation of raw data to published results. In addition to …

[HTML][HTML] Perspectives on automated composition of workflows in the life sciences

AL Lamprecht, M Palmblad, J Ison, V Schwämmle… - …, 2021 - ncbi.nlm.nih.gov
Scientific data analyses often combine several computational tools in automated pipelines,
or workflows. Thousands of such workflows have been used in the life sciences, though their …

Challenges of provenance in scientific workflow management systems

K Alam, B Roy - 2022 IEEE/ACM Workshop on Workflows in …, 2022 - ieeexplore.ieee.org
Scientific workflow is one of the well-established pillars of large-scale computational science
and emerged as a torchbearer to formalize and structure a massive amount of complex …

MANSOR: a module alignment method based on neighbor information for scientific workflow

Y Gu, J Cao, S Qian, N Zhu… - … and Computation: Practice …, 2024 - Wiley Online Library
Finding similar scientific workflow modules that can substitute essential components of the
privacy workflows from public repositories to create a personalized workflow is growing in …

BTR: a bioinformatics tool recommendation system

R Green, X Qu, J Liu, T Yu - Bioinformatics, 2024 - academic.oup.com
Motivation The rapid expansion of Bioinformatics research has led to a proliferation of
computational tools for scientific analysis pipelines. However, constructing these pipelines is …

A recommender system for scientific datasets and analysis pipelines

M Mazaheri, G Kiar, T Glatard - 2021 IEEE Workshop on …, 2021 - ieeexplore.ieee.org
Scientific datasets and analysis pipelines are increasingly being shared publicly in the
interest of open science. However, mechanisms are lacking to reliably identify which …

Building Domain-Specific Machine Learning Workflows: A Conceptual Framework for the State of the Practice

BJ Oakes, M Famelis, H Sahraoui - ACM Transactions on Software …, 2024 - dl.acm.org
Domain experts are increasingly employing machine learning to solve their domain-specific
problems. This article presents to software engineering researchers the six key challenges …

Reusability Challenges of Scientific Workflows: A Case Study for Galaxy

K Alam, B Roy, A Serebrenik - 2023 30th Asia-Pacific Software …, 2023 - ieeexplore.ieee.org
Scientific workflow has become essential in software engineering because it provides a
structured approach to designing, executing, and analyzing scientific experiments. Software …

Applying Deep Learning Techniques to Assist Bioinformatics Researchers in Analysis Pipeline Composition

R Green - 2023 - search.proquest.com
In this thesis, I address the problem of computational tool recommendation to suggest during
the construction of life science analysis workflows. The major motivation for such a system is …

Transformer-based tool recommendation system in Galaxy

A Kumar, B Grüning, R Backofen - BMC bioinformatics, 2023 - Springer
Background Galaxy is a web-based open-source platform for scientific analyses.
Researchers use thousands of high-quality tools and workflows for their respective analyses …