Accurate tracking of the 3D pose of animals from video recordings is critical for many behavioral studies, yet there is a dearth of publicly available datasets that the computer vision community could use for model development. We here introduce the Rodent3D dataset that records animals exploring their environment and/or interacting with each other with multiple cameras and modalities (RGB, depth, thermal infrared). Rodent3D consists of 200 min of multimodal video recordings from up to three thermal and three RGB-D synchronized cameras (approximately 4 million frames). For the task of optimizing estimates of pose sequences provided by existing pose estimation methods, we provide a baseline model called OptiPose. While deep-learned attention mechanisms have been used for pose estimation in the past, with OptiPose, we propose a different way by representing 3D poses as tokens for which deep-learned context models pay attention to both spatial and temporal keypoint patterns. Our experiments show how OptiPose is highly robust to noise and occlusion and can be used to optimize pose sequences provided by state-of-the-art models for animal pose estimation.

Cooperativity and antagonism between transcription factors (TFs) can drastically modify their binding to regulatory DNA elements. While mapping these relationships between TFs is important for understanding their context-specific functions, existing approaches either rely on DNA binding motif predictions, interrogate one TF at a time, or study individual TFs in parallel. Here, we introduce paired yeast one-hybrid (pY1H) assays to detect cooperativity and antagonism across hundreds of TF-pairs at DNA regions of interest. We provide evidence that a wide variety of TFs are subject to modulation by other TFs in a DNA sequence-specific manner. We also demonstrate that TF-TF relationships are often affected by alternative isoform usage, and identify cooperativity and antagonism between human TFs and viral proteins. pY1H assays provide a broadly applicable framework to study how different functional relationships affect protein occupancy at regulatory DNA regions.