Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Quantifying and predicting Drosophila larvae crawling phenotypes.

Scientific reports - 21 Jun 2016

Günther Maximilian N, Nettesheim Guilherme, Shubeita George T

Abstract excerpt

The fruit fly Drosophila melanogaster is a widely used model for cell biology, development, disease, and neuroscience. The fly's power as a genetic model for disease and neuroscience can be augmented by a quantitative description of its behavior. Here we show that we can accurately account for the complex and unique crawling patterns exhibited by individual Drosophila larvae using a small set of four parameters...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Alzheimer Disease
Share to Biometry
Share to Drosophila melanogaster

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Drug Evaluation, Preclinical

Share to Fragile X Syndrome

Share to Genetic Testing

Share to Locomotion

Source

Open in PubMed Open full text

Identifiers

PMID: 27323901
DOI: 10.1038/srep27972
PMCID: PMC4914969

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Quantifying and predicting Drosophila larvae crawling phenotypes.PMID 27323901Read ↗

A high throughput and sensitive method correlates neuronal disorder genotypes to Drosophila larvae crawling phenotypes.Semantic proximity Read ↗

Continuous, long-term crawling behavior characterized by a robotic transport system.Semantic proximity Read ↗

Drosophila genotypes can be predicted from their exploration locomotive trajectories using supervised machine learning.Semantic proximity Read ↗

Detection of early locomotor abnormalities in a Drosophila model of Alzheimer's diseaseSemantic proximity Read ↗

Foraging Path-length Protocol for Drosophila melanogaster Larvae.Semantic proximity Read ↗

Modeling the complex pathology of Alzheimer's disease in DrosophilaSemantic proximity Read ↗

SAMBA: A Segment Anything Model-based tool for semi-automated Behavioural Analysis of <i>Drosophila</i> and other model organismsSemantic proximity Read ↗

Analysis of the trajectory of Drosophila melanogaster in a circular open field arena.Semantic proximity Read ↗

A Segment Anything Model-based tool for semi-automated behavioural analysis of Drosophila and other model organisms.Semantic proximity Read ↗

High resolution kinematic approach for quantifying impaired mobility of dystrophic zebrafish larvaeSemantic proximity Read ↗

The evolutionary trajectory of drosophilid walking.Semantic proximity Read ↗

A fruitful endeavor: Modeling ALS in the fruit flySemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.