Jonas S. Fleck

TL;DR: A meta-analysis of eight geographically and technically diverse fecal shotgun metagenomic studies of colorectal cancer identified a core set of 29 species significantly enriched in CRC metagenomes, establishing globally generalizable, predictive taxonomic and functional microbiome CRC signatures as a basis for future diagnostics.

TL;DR: Pablo et al. as discussed by the authors developed Pando-a flexible framework that incorporates multi-omic data and predictions of transcription-factor-binding sites to infer a global gene regulatory network describing organoid development.

TL;DR: These analyses yield insights into the organization, evolution, and regeneration of a tetrapod nervous system as well as inferred transcriptional dynamics and gene regulatory relationships of postembryonic, region-specific neurogenesis and unraveled conserved differentiation signatures.

TL;DR: GECCO as discussed by the authors is a high-precision, scalable method for identifying novel BGCs in (meta)genomic data using conditional random fields (CRFs) based on an extensive evaluation of de novo BGC prediction, found GECCO to be more accurate and over 3x faster than a state-of-the-art deep learning approach.

TL;DR: This work develops an analytical toolkit to segment nuclei, identify local and global tissue units, infer morphology trajectories, and analyze cell neighborhoods from multiplexed imaging data, and integrates genomic data with spatially segmented nuclei into a multi-modal atlas enabling virtual exploration of retinal organoid development.