Behind the Paper
The real stories behind the latest research papers, from conception to publication, the highs and the lows
What is the diagnostic accuracy of deep learning algorithms on medical imaging and what is the quality of evidence supporting this?
Our systematic review and meta-analysis provides a critical assessment of the deep learning literature to date and proposes recommendations to improve the quality of deep learning research in the future.
A hidden population of high-redshift double quasars unveiled by astrometry
A new technique leads to the discovery of two closely separated pairs of supermassive black holes in the early universe.
After the Paper | Looking back on co-abundance binning and what it meant for microbiomics and its authors
In this post, Dr. Henrik Bjørn Nielsen and Dr. Mathieu Almeida are traveling back in time to talk about their paper on co-abundance binning published in 2014 in Nature Biotechnology and how it affected their field and careers.
Mechanistic Investigation of a Rhodium Catalysed Asymmetric Suzuki-Miyaura Coupling
The Fletcher group has previously developed a Rh-catalysed asymmetric Suzuki-Miyaura type cross-coupling of racemic halides with arylboronic acids. Here, we explore the mechanism of this highly enantioselective transformation (https://dx.doi.org/10.1038/s41929-021-00589-y).
Plants down under: The photosynthetic pathway of plants found across Australia’s largest ecosystem monitoring network
As our climate changes, plants using different ways to convert CO2, sunlight, & water into food, known as photosynthetic pathways, will have to ‘migrate’ to new habitats to survive. This problem inspired the creation of a new data set that lists the photosynthetic pathway > 2400 Australian species.
A machine-learning approach to phylogenetic tree inference
The following two fields have barely interacted before: artificial intelligence and molecular evolution. To demonstrate proof of concept, we established a machine-learning-based framework that substantially boosts tree-search algorithms, without compromising accuracy!
A timeframe for human evolution
A precise timeframe for human evolution is fundamental to contextualise key events that occurred during the evolution of our lineage. Our new phylogenetic study dates specific speciation events and provides important insights into body mass and encephalization trends in human evolution.
