Open-source computational framework for studying Drosophila behavioral phase

Summary: This protocol describes a standardized method for analyzing Drosophila behavioral rhythmicity under light dark cycles, temperature ramps, and free running conditions. The protocol constitutes a step-by-step guide from generation of appropriate Drosophila genetic crosses to behavioral experi...

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Main Authors: Boyan Kostadinov, Hannah Lee Pettibone, Evardra Valerie Bell, Xiaona Zhou, Ausra Pranevicius, Orie Thomas Shafer, Maria Paz Fernandez
Format: Article
Language:English
Published: Elsevier 2021-03-01
Series:STAR Protocols
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666166720302720
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author Boyan Kostadinov
Hannah Lee Pettibone
Evardra Valerie Bell
Xiaona Zhou
Ausra Pranevicius
Orie Thomas Shafer
Maria Paz Fernandez
author_facet Boyan Kostadinov
Hannah Lee Pettibone
Evardra Valerie Bell
Xiaona Zhou
Ausra Pranevicius
Orie Thomas Shafer
Maria Paz Fernandez
author_sort Boyan Kostadinov
collection DOAJ
description Summary: This protocol describes a standardized method for analyzing Drosophila behavioral rhythmicity under light dark cycles, temperature ramps, and free running conditions. The protocol constitutes a step-by-step guide from generation of appropriate Drosophila genetic crosses to behavioral experiments. We also provide an open-source computational framework using R for the analysis of the phase of behavior using circular statistics. An extended method for complete use is also provided.For complete details on the use and execution of this protocol, please refer to Fernandez et al. (2020).
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spelling doaj.art-9fbe23397bd54e58a50c5d4b3fdf19452022-12-21T18:18:15ZengElsevierSTAR Protocols2666-16672021-03-0121100285Open-source computational framework for studying Drosophila behavioral phaseBoyan Kostadinov0Hannah Lee Pettibone1Evardra Valerie Bell2Xiaona Zhou3Ausra Pranevicius4Orie Thomas Shafer5Maria Paz Fernandez6Mathematics Department, NYC College of Technology, City University of New York, Brooklyn, NY 11201, USA; Corresponding authorAdvanced Science Research Center, The Graduate Center, City University of New York, New York, NY 10031, USADepartment of Neuroscience and Behavior, Barnard College of Columbia University, New York, NY 10027, USAMathematics Department, NYC College of Technology, City University of New York, Brooklyn, NY 11201, USADepartment of Neuroscience and Behavior, Barnard College of Columbia University, New York, NY 10027, USAAdvanced Science Research Center, The Graduate Center, City University of New York, New York, NY 10031, USADepartment of Neuroscience and Behavior, Barnard College of Columbia University, New York, NY 10027, USA; Corresponding authorSummary: This protocol describes a standardized method for analyzing Drosophila behavioral rhythmicity under light dark cycles, temperature ramps, and free running conditions. The protocol constitutes a step-by-step guide from generation of appropriate Drosophila genetic crosses to behavioral experiments. We also provide an open-source computational framework using R for the analysis of the phase of behavior using circular statistics. An extended method for complete use is also provided.For complete details on the use and execution of this protocol, please refer to Fernandez et al. (2020).http://www.sciencedirect.com/science/article/pii/S2666166720302720BioinformaticsModel organismsNeuroscience
spellingShingle Boyan Kostadinov
Hannah Lee Pettibone
Evardra Valerie Bell
Xiaona Zhou
Ausra Pranevicius
Orie Thomas Shafer
Maria Paz Fernandez
Open-source computational framework for studying Drosophila behavioral phase
STAR Protocols
Bioinformatics
Model organisms
Neuroscience
title Open-source computational framework for studying Drosophila behavioral phase
title_full Open-source computational framework for studying Drosophila behavioral phase
title_fullStr Open-source computational framework for studying Drosophila behavioral phase
title_full_unstemmed Open-source computational framework for studying Drosophila behavioral phase
title_short Open-source computational framework for studying Drosophila behavioral phase
title_sort open source computational framework for studying drosophila behavioral phase
topic Bioinformatics
Model organisms
Neuroscience
url http://www.sciencedirect.com/science/article/pii/S2666166720302720
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