MOTIVATION: CircRNAs are covalently closed RNA molecules that are particularly abundant in the brain. While circRNA expression data from the human brain is rapidly accumulating, integration of large-scale datasets remains challenging and time-consuming, and consequently an integrative view of circRNA expression in the human brain is currently lacking. RESULTS: NeuroCirc is a web-based resource that allows interactive exploration of multiple types of circRNA data from the human brain, including large-scale expression datasets, circQTL data and circRNA expression across neuronal differentiation and cellular maturation time-courses. NeuroCirc also allows users to upload their own circRNA expression data and explore it in the integrative platform, thereby supporting circRNA prioritization for experimental validation and functional studies. AVAILABILITY AND IMPLEMENTATION: NeuroCirc is freely available at: https://voineagulab.github.io/NeuroCirc/. The source code and user documentation are available at: https://github.com/Voineagulab/NeuroCirc. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

SUMMARY: TDAview is an online tool for topological data analysis (TDA) and visualization. It implements the Mapper algorithm for TDA and provides extensive graph visualization options. TDAview is a user-friendly tool that allows biologists and clinicians without programming knowledge to harness the power of TDA. TDAview supports an analysis and visualization mode in which a Mapper graph is constructed based on user-specified parameters, followed by graph visualization. It can also be used in a visualization only mode in which TDAview is used for visualizing the data properties of a Mapper graph generated using other open-source software. The graph visualization options allow data exploration by graphical display of metadata variable values for nodes and edges, as well as the generation of publishable figures. TDAview can handle large datasets, with tens of thousands of data points, and thus has a wide range of applications for high-dimensional data, including the construction of topology-based gene co-expression networks. AVAILABILITY AND IMPLEMENTATION: TDAview is a free online tool available at https://voineagulab.github.io/TDAview/. The source code, usage documentation and example data are available at TDAview GitHub repository: https://github.com/Voineagulab/TDAview.