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DeepSEA, a deep-learning algorithm trained on large-scale chromatin-profiling data, predicts chromatin effects from sequence alone, has single-nucleotide sensitivity and can predict effects of noncoding variants.
Spectrally resolved STORM (stochastic optical reconstruction microscopy) uses wide-field spectral measurements of sparsely activated single-molecule emitters to image cells labeled with fluorophores with highly overlapping emission spectra, opening the door to multiplexed super-resolution imaging.
SpeedSeq is an open-source software suite offering very fast, accurate and comprehensive analysis of single-nucleotide and structural variants from whole genome sequencing data.
Functional ultrasound imaging and electroencephalography are combined to assess brain activity in mobile rats. The methodology is applied to the analysis of theta rhythms in a maze task and of epileptic seizures.
The combination of an engineered demthylase and a highly processive reverse transcriptase during tRNA library preparation for high-throughput sequencing allows comprehensive profiling of the small RNAs.
Temporally stochastic STED nanoscopy with electro-optical deflector–based scanning allows ultrafast super-resolution imaging. The method was used to monitor vesicles and viruses moving at ~2 μm/s with no motion blur.
Single-particle dynamics are analyzed with hidden Markov modeling in combination with Bayesian model selection. This method can annotate both diffusive and directed motion states with single-step resolution.
Assessing the activity of >1,000 single guide RNAs (sgRNAs) on >1,000 genetic loci with two Cas9 orthologs provides insight into sgRNA design and epigenetic parameters for optimal activity.
Image reconstruction by integrating exchangeable single-molecule localization (IRIS) allows for super-resolution imaging of multiple targets. IRIS yields continuously labeled structures owing to high labeling density and is demonstrated for multiple cytoskeletal components.
A hybrid method that combines sparse NMR spectroscopy data with evolutionary residue-residue coupling information is used to solve accurate structures of large proteins.
This paper reports magnetic imaging of immunolabeled mammalian cells using nitrogen-vacancy centers in diamond and shows that the method can be used for quantitative profiling of markers.
The combination of immunofluorescence and single-molecule FISH (smFISH) enables a quantitative description of how transcription factor binding drives the kinetics of mRNA production.