Jespersen North (pinpart0)

We further found stages N2 and N3 sleep contain a mixture of discrete subtypes of slow waves, each identified by their unique coupled-spindle timing and frequency. The relative contribution of coupling subtypes shifts across the human lifespan, and a deeper sleep phenotype prevails with increasing age. Distinct subtypes of slow waves and coupled spindles form the composite of slow wave sleep. Our findings support a model of sleep-dependent synaptic regulation via discrete slow wave/spindle coupling subtypes and advance a conceptual framework for the development of coupling-based biomarkers in age-associated neurological disease. Distinct subtypes of slow waves and coupled spindles form the composite of slow wave sleep. Our findings support a model of sleep-dependent synaptic regulation via discrete slow wave/spindle coupling subtypes and advance a conceptual framework for the development of coupling-based biomarkers in age-associated neurological disease. Next generation sequencing (NGS) enabled the fast accumulation of genomic data at public repositories. This technology also made it possible to better understand the regulation of gene expression by transcription factors and various chromatin-associated proteins through the integration of chromatin immunoprecipitation (ChIP-Seq). selleck The Cistrome Project (Liu et al., 2011) has become one of the indispensable research portals for biologists to access and analyze data generated with thousands of ChIP-Seq experiments. Integrative motif analysis on shared binding regions among a set of experiments is not yet achievable despite a set of search and analysis tools provided by Cistrome via its web interface and the Galaxy framework (Afgan et al., 2016). We implemented a python command-line tool for searching binding sequences of a transcription factor common to multiple ChIP-Seq experiments. We use the peaks in the Cistrome database as identified by MACS 2.0 (Zhang et al., 2008) for each experiment and identify shared peak regions in a genomic locus of interest. We then scan these regions for binding sequences using a binding motif of a transcription factor obtained from the JASPAR database (Fornes et al., 2020). MotifGenie is developed in collaboration with molecular biologists and its findings are corroborated by laboratory experiments. MotifGenie is freely available at https//github.com/ceragoguztuzun/MotifGenie. MotifGenie is freely available at https//github.com/ceragoguztuzun/MotifGenie.ProteoVision is a web server designed to explore protein structure and evolution through simultaneous visualization of multiple sequence alignments, topology diagrams and 3D structures. Starting with a multiple sequence alignment, ProteoVision computes conservation scores and a variety of physicochemical properties and simultaneously maps and visualizes alignments and other data on multiple levels of representation. The web server calculates and displays frequencies of amino acids. ProteoVision is optimized for ribosomal proteins but is applicable to analysis of any protein. ProteoVision handles internally generated and user uploaded alignments and connects them with a selected structure, found in the PDB or uploaded by the user. It can generate de novo topology diagrams from three-dimensional structures. All displayed data is interactive and can be saved in various formats as publication quality images or external datasets or PyMol Scripts. ProteoVision enables detailed study of protein fragments defined by Evolutionary Classification of protein Domains (ECOD) classification. ProteoVision is available at http//proteovision.chemistry.gatech.edu/.Free smartphone applications that aim to promote physical activity or reduce sedentary behavior at workplaces were questioned for its content such as technical features, behavior change techniques (BCT) and security concerns. To evaluate systematically whether smartphone apps are mapped adequate