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Different methods have contributed to a better understanding of the malaria parasite, but improvements are still needed to uncover basic Plasmodium biology.
Multi-omic study uncovers biological variation across 14 HeLa cell samples, which might help to explain the growing concerns about reproducibility issues in cell culture.
A virus-based tracing approach in combination with recombinase-mediated labeling allows the dissection of neuronal circuit motifs with subtype specificity.
Light-sheet fluorescence microscopes are making it possible to follow subcellular dynamics with unprecedented detail, but they are complex to build and maintain. A new method that can generate arbitrary light sheets provides much-needed simplicity and additional versatility.
A computational approach facilitates molecular formula, metabolite class, and structure assignment for plant metabolites on the basis of LC–MS analysis of fully 13C-labeled and unlabeled plants.
The solid media portable cell killing assay uses metabolism-sensitive staining to illuminate the killing of antibiotic-tolerant bacteria under resource-depleted conditions, thereby enabling multiplex, genome-scale analyses for the identification of target strains.
DARTS first uses public domain data to train a deep neural network to predict differential alternative splicing; the predictions are then combined with observed RNA-seq data in a Bayesian framework to infer changes in alternative splicing between biological samples.
Selene is a deep learning library that enables the expansion of existing deep learning models to new data, the development of new model architectures, and the evaluation of these new models on biological sequence data.
SNAC-tags allow for versatile sequence-specific cleavage of soluble and membrane proteins with Ni2+ under biocompatible conditions, bypassing enzymatic cleavage and enabling cleavage in situations where commonly used enzymes fail.
Covalent linking of a histone-modification-specific antibody to MNase allows for the isolation of fragments with the desired histone mark, which can be amplified and sequenced. This approach is sensitive enough to profile histone modifications in single cells.
Cell Population Mapping (CPM) leverages single-cell RNA-seq data as a rich reference to predict the composition of cell types and cell states from bulk RNA-seq data.
The development of 19F-13C TROSY provides a new avenue for the collection of high-sensitivity, background-free information about the structure and dynamics of challenging biomolecular systems by NMR spectroscopy.
An active atlas for automatic alignment of brains to a reference atlas is presented. The method uses the fine-scale pattern of tissue. The atlas is refined by each new brain and can inform on the structural variability between different brains.