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Decentralized autonomous organizations are growing as alternative research funding models, but are also strong scientific communities. We should get on board.
Most features of a cell are determined by gene programs — sets of co-expressed genes that execute a specific function. By incorporating existing knowledge about gene programs and cell types, the Spectra factor analysis method improves how we decode single-cell transcriptomic data and offers insights into challenging tumor immune contexts.
The detection of mobile genetic elements is crucial for exploring the ecology and evolution of microbial communities, and it has diverse implications in biotechnology and public health. geNomad is a computational framework that enables researchers to precisely identifiy and annotate plasmids and viruses in sequencing data on a large scale.
By using fixed charges to engineer a strong electroosmotic flow, we achieve the unidirectional transport of natural polypeptides across nanopores. Our approach enables native proteins to be transported enzymatically and non-enzymatically in the absence of denaturant and electrophoretic tags, with potential applications for protein sequencing.