Convergent transcription and stalling of transcription are enriched at DNA breakpoints found in acute lymphoblastic leukemia and associate with DNA structures and sequences that mediate genetic instability.

Oligo-conjugated antibodies are a powerful tool but require thorough optimization to reduce background signal, increase sensitivity, and reduce sequencing costs.

A comparison of different bioimage analysis pipelines reveals how deep learning can be used for automatized and reliable analysis of fluorescent features in biological datasets.

Declined coding of sensory information in the brain reflects human vigilance decrements and allows prediction of behavioural errors.

Dopamine neurons function as an ensemble to signal a multidimensional feature prediction error.

Neurons responsible for detecting local visual features are modulated by visual and motor-related forms of gain control that increase the threshold for detection when self-generated movement signals would dominate visual input.

The human brain encodes coordinated patterns of joint movements – synergies – to increase the efficiency with which it can control complex hand movements.

An approach based on cue phrases can be used to identify instances of disagreement in scientific articles and compare the level of disagreement in various disciplines.

Stem-cell-based neural replacement, in combination with optogenetic stimulation, could represent a translationally viable therapeutic strategy to overcome atrophy and paralysis of targeted muscles in people living with amyotrophic lateral sclerosis.

compaRe can be used to optimize cytometric high-parameter immunophenotypic characterization of heterogeneous cell populations.