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.

Open data provides an opportunity to perform new analyses on preexisting data, but trade-offs are required to limit an increase in false positives.

A community-based international effort generates standardized HLA allele-specific peptide assay libraries and enables the analysis of the human immunopeptidome by SWATH mass spectrometry.

Each stage of the scientific life cycle stands to benefit from the introduction of data science techniques.

Open research practices bring significant benefits to researchers.

The central complex, a highly conserved insect brain region important for navigation, is characterized by a high degree of recurrence and a sparseness of output pathways.

A new open-source computational toolbox for processing in vivo microendoscopic calcium imaging data performs signal demixing and denoising much more accurately than previously available methods, significantly improving the utility of this imaging modality.

Human pancreatic islet high-resolution chromatin state maps generated from DNA methylation, open chromatin and ChIP-seq mark data facilitate the characterisation of regulatory mechanisms at type 2 diabetes genome-wide association study loci.

The combination of high-speed light sheet microscopy and suitable data analysis facilitates cell-accurate measurements across entire organs and opens the way to systematic, scale-bridging, in vivo studies of organogenesis.