Browse our latest Computational and Systems Biology articles

The bioBakery 3 platform enables improved, integrated, and strain-level analysis of microbial communities from large-scale meta-omic data.

An analysis of peer review and funding outcomes of NIH research applications shows that funding disparities of topics preferred by African American Black investigators are not due to peer review preferences or biases.

A novel multi-omics framework revealed the taxonomic contribution to microbiota oxalate, demontrated O. formigenes as the dominating taxon transcriptionally, and identified specific IBD cohort at risk for oxalte toxicity.

Multi-omic profiling of gene expression in response to reduced insulin/IGF-like-signalling reveals tissue-specific regulation of DNA damage and lysosomal mannosidase regulation of tissue homeostasis as pro-longevity responses.

Visual, motor, and forward model gains learn from a postdictive update of space to keep perception and saccadic motor function aligned.

There are regularities in how specific nutrients combine together to shape the taxonomic composition of self-assembled communities, with some types of nutrients dominating other types.

Comprehensive single-cell transcriptome analysis reveals global and tissue-specific aging markers and characterizes the heterogeneous aging status of different cell types and tissues in mouse.

A machine learning method for action detection is developed and applied toward mouse grooming behavior.

Unbiased and automatic annotation using structured prediction framework with efficiently built data-driven atlases is more accurate than registration-based methods for cell identifications in dense images and enables fast whole-brain analysis.

'Cellular Electron Microscopy 500,000 images' (CEM500K) is a highly heterogeneous, information-rich, non-redundant, unlabeled EM dataset curated to pre-train DL algorithms for better model generalization on EM segmentation tasks.