Objectives Fairness is a core concept meant to grapple with different forms of discrimination
and bias that emerge with advances in Artificial Intelligence (eg, machine learning, ML). Yet …

This work considers a scientific experiment as a computational workflow. Provenance
models store details of each workflow execution, including produced data, computational …

Classifications and phylogenetic inferences of organismal groups change in light of new
insights. Over time these changes can result in an imperfect tracking of taxonomic …

There are many steps in analyzing transcriptome data, from the acquisition of raw data to the
selection of a subset of representative genes that explain a scientific hypothesis. The data …

Computer science solutions for molecular biology problems are often presented in the form
of workflows. There is a set of activities performed by different processing entities through …

Scientific workflows can be understood as arrangements of managed activities executed by
different processing entities. It is a regular Bioinformatics approach applying workflows to …

In temporal interaction networks (TINs), vertices correspond to entities, which exchange data
quantities (eg, money, bytes, messages) over time. We study the problem of con-tinuously …

Scientific experiments in bioinformatics are often executed as computational workflows. Data
provenance involves documenting the history, and the paths of the input data, from the …

In an era where it can be argued that all biology is computational biology (Markowetz, 2017),
properly managing computational analyses and data is crucial to evaluate the findings of in …

Many research projects in bioinformatics may be viewed as scientific workflows. Biologists
often run multiple times the same workflow with different parameters in order to refine their …