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The Journal of Visualized Experiments (JoVE) is a peer reviewed, PubMed-indexed video journal. Our mission is to increase the productivity of scientific research.

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University of Texas, Dallas

2 articles published in JoVE

 JoVE General

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types


JoVE 4273 12/10/2012

1, 1,2, 1,2, 2,3

1Department of Applied Mathematics & Statistics, Stony Brook University, 2Computational Biology and Bioinformatics, Cold Spring Harbor Laboratory, 3Department of Molecular and Cell Biology, University of Texas at Dallas

Our Bayesian Change Point (BCP) algorithm builds on state-of-the-art advances in modeling change-points via Hidden Markov Models and applies them to chromatin immunoprecipitation sequencing (ChIPseq) data analysis. BCP performs well in both broad and punctate data types, but excels in accurately identifying robust, reproducible islands of diffuse histone enrichment.

 JoVE Clinical and Translational Medicine

Eye Tracking Young Children with Autism


JoVE 3675 3/27/2012

1, 2

1School of Behavioral and Brain Sciences, University of Texas at Dallas, 2Carolina Institute for Developmental Disabilities, School of Medicine, University of North Carolina at Chapel Hill

Eye tracking has long been used to study gaze patterns in typically-developing individuals, but recent technological advancements have made its use with clinical populations, including autism, more feasible. While eye-tracking young children with autism can offer insight into early symptom manifestations, it involves methodological challenges. Suggestions for best practices are provided.

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