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 …

The rapid global spread of the novel coronavirus SARS-CoV-2 has strained healthcare and
testing resources, making the identification and prioritization of individuals most at-risk a …

Abstract Motivation Automated machine learning (AutoML) systems are helpful data science
assistants designed to scan data for novel features, select appropriate supervised learning …

The open science movement continues to gain momentum, attention, and discussion.
However, there are a number of different interpretations, viewpoints, and perspectives as to …

Motivation Assessing biodiversity status and trends in plant communities is critical for
understanding, quantifying and predicting the effects of global change on ecosystems …

Researchers in ecology and evolutionary biology are increasingly dependent on
computational code to conduct research. Hence, the use of efficient methods to share …

The broadening utilisation of ancient DNA to address archaeological, palaeontological, and
biological questions is resulting in a rising diversity in the size of laboratories and scale of …

Contemporary bioinformatic and chemoinformatic capabilities hold promise to reshape
knowledge management, analysis and interpretation of data in natural products research …

The standardized identification of biomedical entities is a cornerstone of interoperability,
reuse, and data integration in the life sciences. Several registries have been developed to …

In this work we investigate how models with advanced natural language processing
capabilities can be used to reduce the time-consuming process of writing and revising …