Despite tremendous gains over the past decade, methods for characterizing proteins have
generally lagged behind those for nucleic acids, which are characterized by extremely high …

Cells are the basic units of life with vast heterogeneity. Single-cell transcriptomics unveils
cell-to-cell gene expression variabilities, discovers novel cell types, and uncovers the critical …

Identification of cell populations often relies on manual annotation of cell clusters using
established marker genes. However, the selection of marker genes is a time-consuming …

Advances in multi-omics have led to an explosion of multimodal datasets to address
questions from basic biology to translation. While these data provide novel opportunities for …

During development, animals generate distinct cell populations with specific identities,
functions, and morphologies. We mapped transcriptionally distinct populations across …

Genome-wide association studies in combination with single-cell genomic atlases can
provide insights into the mechanisms of disease-causal genetic variation. However …

The growth of omic data presents evolving challenges in data manipulation, analysis and
integration. Addressing these challenges, Bioconductor provides an extensive community …

Rigorous record-keeping and quality control are required to ensure the quality,
reproducibility and value of imaging data. The 4DN Initiative and BINA here propose light …

Understanding human brain development is of fundamental interest but is also very
challenging. Single-cell RNA-sequencing studies in mammals have revealed that brain …

For quality, interpretation, reproducibility and sharing value, microscopy images should be
accompanied by detailed descriptions of the conditions that were used to produce them …