Browse our latest Computational and Systems Biology articles

Analysis of yeast, fly and human genomes suggests that sequence divergence is not the main source of orphan genes.

Homology information implicit in regions of conserved synteny allows quantification of gene origination by complete sequence divergence, revealing a larger-than-expected role for other mechanisms of origin, including de novo origination.

The combination of statistical inference and perturbation experiments reveals that trans-generational inheritance of cell size and cell-cycle speed, coupled through a minimum-size checkpoint, shapes paradoxical cell-cycle correlations in lineage trees.

Cancer control, DNA repair, and immunity are key functionalities underlying the evolution of extended lifespan in mammals.

CNApp is a novel and unique web-based software that enables the performance of comprehensive and integrative analysis of genomic copy number alterations to uncover new associations with patient-oriented relevance.

Combination of deep learning models trained on tissue-specific genomic data and fine-mapping approaches supports efforts to identify causal variants and mechanisms at GWAS loci.

Single cell expression data can be used to determine how regulatory transcription factors and target genes are connected, and is especially useful when studying transcription factors controlling heterogeneous cell states.

Both bottom-up and top-down processing are involved in the occipital-temporal face network, with the top-down modulation more extensively engaged when available information is sparse in the face images.

A multiscale computational nerve net model describes how the activity of individual neurons controls the swimming motion of a jellyfish in its hydrodynamic environment.

Light-seeking strategies in Zebrafish larvae are dissected using a virtual-reality assay, and these data are used to establish minimal stochastic and neural-circuits models that quantitatively capture this behavior.