Highlights of ggVennDiagram include: (1) Subset/Region filling Venn diagram up to seven sets; (2) Upset plot with unlimited sets; (3) Venn Calculator for two or more sets; (4) Provide as R package, Shiny App, and TBtools plugin.

Circos plots enable scientists to easily inspect big biological data genome‐widely on a macroscopic scale, but cumbersome preparation of input data and complex parameter configuration limits its application. We have developed the “Advanced Circos” function in TBtools, to provide a simple way to construct Circos plots. As an out‐of‐the‐box combo toolkit, TBtools has integrated a set of functions convenient for input data preparation. The “Advanced Circos” function is supplied with a user‐friendly interface for the customization of parameter settings and can be deployed to visualize all kinds of genomic data, such as genomic associations, alignment data, gene density, and QTL locations. In the present article, we introduce the main features of “Advance Circos” and the protocols of upstream data preparation, aiming to endow more users with the ability to use Circos plots in big genomic data exploration.

Organelle genomes, specifically chloroplast and mitochondrial DNA, exist alongside the nuclear genome and are extensively used in gene function studies, evolutionary analyses, and targeted breeding. However, assembling these genomes remains challenging due to frequent recombination and the presence of abundant repetitive sequences. Although some tools exist to tackle this task, many are difficult to install, require extensive parameter tuning, and demand significant computational resources.To address these limitations, we present HiMT, a user-friendly, out-of-the-box software tool that supports one-click chloroplast and mitochondrial genome assembly using default parameters, particularly for plant species. HiMT automatically estimates read coverage depth and employs a fixed k-mer prefix strategy to minimize computational demands, making it suitable for use on standard laptops. Benchmark tests show that HiMT ensures assembly completeness and achieves a high assembly success rate while maintaining low hardware requirements and fast runtimes. Additionally, HiMT features a graphical user interface (GUI) and generates interactive reports for the quality assessment of organelle genome assemblies. We anticipate that HiMT will facilitate high-quality plant mitochondrial genome research and significantly streamline organelle genome assembly workflows. To support the research community, HiMT is freely available to non-commercial users at https://github.com/tangshuyuan/HiMT.