D. Rogers

CZ CELLxGENE Discover: A single-cell data platform for scalable exploration, analysis and modeling of aggregated data

CZ CELLxGENE Discover provides a platform for scalable exploration and analysis of aggregated single-cell transcriptomic data across multiple studies.

The sterol C-24 methyltransferase encoding gene, erg6, is essential for viability of Aspergillus species.

This paper identifies Erg6 as an essential gene for viability in Aspergillus species and shows its importance in fungal infection models.

Machine learning analysis of the T cell receptor repertoire identifies sequence features that predict self-reactivity

The paper uses machine learning to identify TCR sequence features predicting self-reactivity, finding that n-nucleotide additions and acidic amino acids reduce self-reactivity.

Chronic infection control relies on T cells with lower foreign antigen binding strength generated by N-nucleotide diversity

The paper shows that TdT-mediated TCR diversity, characterized by lower-affinity T cells, aids in controlling chronic infections but not acute ones.

Pre-existing chromatin accessibility and gene expression differences among naïve CD4+ T cells influence effector potential

The paper shows pre-existing transcriptional and chromatin differences in naive CD4+ T cells influence their effector lineage potential.

Asymmetrical pegs in square holes? Functional and phylogenetic determinants of plant community assembly in temperate forest understories

The paper tests how ecological and evolutionary processes shape plant communities in temperate forests using functional traits and phylogenetic relationships.

The UCSC Xena platform for public and private cancer genomics data visualization and interpretation

The paper describes the UCSC Xena platform, which enables secure visualization and analysis of both public and private cancer genomics data through web-based tools and hubs.