[HTML][HTML] The role of metadata in reproducible computational research
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 …
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
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 …
or workflows. Thousands of such workflows have been used in the life sciences, though their …
Challenges of provenance in scientific workflow management systems
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 …
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
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 …
privacy workflows from public repositories to create a personalized workflow is growing in …
BTR: a bioinformatics tool recommendation system
Motivation The rapid expansion of Bioinformatics research has led to a proliferation of
computational tools for scientific analysis pipelines. However, constructing these pipelines is …
computational tools for scientific analysis pipelines. However, constructing these pipelines is …
A recommender system for scientific datasets and analysis pipelines
Scientific datasets and analysis pipelines are increasingly being shared publicly in the
interest of open science. However, mechanisms are lacking to reliably identify which …
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
Domain experts are increasingly employing machine learning to solve their domain-specific
problems. This article presents to software engineering researchers the six key challenges …
problems. This article presents to software engineering researchers the six key challenges …
Reusability Challenges of Scientific Workflows: A Case Study for Galaxy
Scientific workflow has become essential in software engineering because it provides a
structured approach to designing, executing, and analyzing scientific experiments. Software …
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 …
the construction of life science analysis workflows. The major motivation for such a system is …
Transformer-based tool recommendation system in Galaxy
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 …
Researchers use thousands of high-quality tools and workflows for their respective analyses …