Using multiple analysts to independently analyze the same dataset has the potential to explore and strengthen the robustness of results and conclusions in basic and applied research.

MotionTracking is freely available software that can generate multi-scale geometrical models of mammalian tissue and perform quantitative analysis of tissue architecture.

A simple, computationally efficient method provides spatiotemporally precise optogenetic perturbations in freely walking Drosophila, revealing the asymmetries and region-specificity of behavioral programs evoked by activating mechanosensory and chemosensory neurons.

CaImAn is an open-software package that equips the neuroscience community with a set of turnkey, fast and scalable solutions to pre-processing problems arising in single cell calcium imaging data analysis.

Full-text analysis of the human brain-imaging literature can predict the spatial distribution of observations in the brain given the description of a subject of study.

A robust computational pipeline for alternative splicing analysis is developed and applied to large-scale cell atlases, overcoming technical challenges and making results available for the scientific community to explore via public interactive browsers.

A comparison of different bioimage analysis pipelines reveals how deep learning can be used for automatized and reliable analysis of fluorescent features in biological datasets.

Meta-analysis takes down a textbook example in behavioural and evolutionary ecology, and demonstrates the existence of biases in the current scientific publishing culture.

Experimental and computational analyses reveal how proteasomal hydrolysis is regulated and show that peptide transport is the rate-limiting step and the main differentiating factor between human standard- and immuno-proteasomes.

Spot-On is an easy-to-use website that makes a rigorous and bias-corrected modeling framework for analysis of single-molecule tracking experiments available to all.