Investigating how different evolutionary forces have shaped patterns of DNA variation within and among species requires detailed knowledge of their demographic history. Orang-utans, whose distribution is currently restricted to the Southeast Asian islands of Borneo (Pongo pygmaeus) and Sumatra (Pongo abelii), have likely experienced a complex demographic history, influenced by recurrent changes in climate and sea levels, volcanic activities and anthropogenic pressures. Using the most extensive sample set of wild orang-utans to date, we employed...

Abstract Clinical translation from bench to bedside often remains challenging even despite promising preclinical evidence. Among many drivers like biological complexity or poorly understood disease pathology, preclinical evidence often lacks desired robustness. Reasons include low sample sizes, selective reporting, publication bias, and consequently inflated effect sizes. In this context, there is growing consensus that confirmatory multicenter studies -by weeding out false positives- represent an important step in strengthening and generating preclinical evidence before moving on...

Additional file 1: Figure S 1. Composition of workshop participants as per field of expertise. The organizing team mainly consists of meta-researchers with a clinical or preclinical background. Other refers to e.g., stakeholders from funding agencies that also attended the workshop. Methods S1. Multi-stakeholder workshop method-Workshop design. Glossary. Glossary of terms.

Additional file 1: Figure S 1. Composition of workshop participants as per field of expertise. The organizing team mainly consists of meta-researchers with a clinical or preclinical background. Other refers to e.g., stakeholders from funding agencies that also attended the workshop. Methods S1. Multi-stakeholder workshop method-Workshop design. Glossary. Glossary of terms.

Abstract Clinical translation from bench to bedside often remains challenging even despite promising preclinical evidence. Among many drivers like biological complexity or poorly understood disease pathology, preclinical evidence often lacks desired robustness. Reasons include low sample sizes, selective reporting, publication bias, and consequently inflated effect sizes. In this context, there is growing consensus that confirmatory multicenter studies -by weeding out false positives- represent an important step in strengthening and generating preclinical evidence before moving on...