Event Sequences
Event Sequences - Related Videos
10:36
Rare Event Detection Using Error-corrected DNA and RNA Sequencing
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Cited by 13 •
2018
Next-generation sequencing (NGS) is a powerful tool for genomic characterization that is limited by the high error rate of the platform (~0.5–2.0%). We describe our methods of error-corrected sequencing that allow us to obviate the NGS error rate and detect mutations at variant allele fractions as rare as 0.0001.
14:33
Event-related Potentials and the Oddball Task
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2023
Source: Laboratories of Jonas T. Kaplan and Sarah I. Gimbel—University of Southern California Given the overwhelming amount of information captured by the sensory organs, it is crucial that the brain is able to prioritize the processing of certain stimuli, to spend less effort on what might not be currently important and to attend to what is. One heuristic the brain uses is to ignore stimuli that are frequent or constant in favor of stimuli that are unexpected or unique. Therefore, rare events...
08:57
Amplicon Sequencing using the Long-Read Sequencing Technologies
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2025
This protocol was optimized for targeted deep sequencing of 18 drug-resistance regions in Mycobacterium tuberculosis using a long-read sequencing platform, followed by analysis with a tuberculosis-specific bioinformatics pipeline designed for long-read data.
09:00
Live Cell Imaging of Early Autophagy Events: Omegasomes and Beyond
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Cited by 13 •
2013
Time-lapse microscopy of fluorescently labeled autophagy markers allows monitoring of the dynamic autophagy response with high temporal resolution. Using specific autophagy and organelle markers in a combination of 3 different colors, we can follow the contribution of a protein to autophagosome formation in a robust spatial and temporal context.
12:59
BEST: Barcode Enabled Sequencing of Tetrads
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Cited by 4 •
2014
Barcode Enabled Sequencing of Tetrads (BEST) replaces the manual processes of isolating, disrupting and spacing tetrads. BEST isolates tetrads by fluorescence-activated cell sorting onto agar plates, separates the spores by agitation with glass beads, and determines which randomly arrayed colonies were derived from the same original tetrad using molecular barcodes.
FAQs
Researchers divide observed behavior into identifiable events, preserve the order in which those events occur, and record their timing. They then examine transitions between events rather than treating each action as isolated. This approach can show whether particular actions, stimuli, or responses tend to occur in consistent temporal arrangements, helping clarify how behavior is organized over time.
A transition represents what follows a preceding event, making it possible to examine behavioral dependencies. Researchers can assess whether one action, stimulus, or response reliably precedes another within the recorded observations. Focusing on transitions helps distinguish an organized pattern from a collection of events that happen during the same observation period.
The same event may be followed by different events under different conditions, so comparing sequences across contexts can reveal how environmental changes influence behavior. In behavior research, this comparison may show altered communication, social interaction, learning, or responses to cues. The resulting differences help identify which parts of a pattern remain stable and which are context-sensitive.
First, researchers identify the observable actions, stimuli, or other events relevant to the behavior being studied. They record when each event occurs and its position relative to other events, then code the observations in sequence. Finally, they examine transitions and compare recurring patterns across individuals or conditions to interpret behavioral organization.
This approach is useful when the order of actions matters, such as during communication, social interaction, learning, or responses to environmental cues. Recording the unfolding pattern can provide more information than simply noting whether an event occurred. Researchers can use the resulting sequences to compare behavioral organization between individuals or across experimental conditions.
Comparisons can identify regular patterns, recurring transitions, and differences in what happens next after a particular event. They may also show whether behavioral organization changes across individuals or conditions. In studies of behavior, these outcomes help connect observable actions with temporal dependencies and clarify how contextual changes influence the progression of activity.