Jun 2025· Journal of Cell Science· 0 citations· 22 references
MedicineComputer Science
TL;DR
Rxiv-Maker is introduced, an open-source framework that lets authors write in simple Markdown and produce a formatted article, as a PDF or an editable Word document, with consistent styling, automatic figure and citation numbering, and reliable cross-referencing.
Abstract
Preprints have transformed how biologists share results, yet how well a preprint reads still depends on formatting, a task that has shifted from publishers to authors. Cell biology has also become increasingly quantitative, with conclusions resting on multi-step image analysis whose figures, values, and statistics are revised repeatedly across a project. Keeping a well-formatted manuscript in step with the latest analysis is tedious and error-prone. We introduce Rxiv-Maker, an open-source framework that lets authors write in simple Markdown and produce a formatted article, as a PDF or an editable Word document, with consistent styling, automatic figure and citation numbering, and reliable cross-referencing. For quantitative work, it can optionally regenerate figures and recompute reported values directly from the data, so the text stays consistent with the analysis. Built on familiar tools such as Git and Visual Studio Code, it gives a transparent, collaborative path from analysis to a submission-ready preprint. Researchers have already used Rxiv-Maker for cell-biology studies spanning bacterial cell-cycle analysis, filopodia proteomics, and zebrafish live imaging, showing it supports reproducible reporting of genuine biological findings.
ScPyviewer is a web-based viewer that ingests AnnData objects directly and reproduces the core interaction patterns of the incumbent R Shiny tools without leaving the Python stack and uniquely offers native AnnData ingestion with no Seurat conversion, and cross-dataset comparison over shared genes and matched cell-type...
Ten simple rules for non-visual bioinformatics are presented, covering plots as decision records, cautious use of AI-generated figure descriptions, accessible computing environments, text-first literate programming, structured data and metadata, compact object summaries, accessible publication formats, collaboration pr...
Jacqueline G. Kientsch, S. Neuhauss, I. Mallona· 0 citations
VectorHarness is presented, a multi-agent framework for raster-to-authoring reconstruction that recovers heterogeneous components using type-appropriate native representations that recovers heterogeneous components using type-appropriate native representations.
Jia-Hao Tang, Yi-Ren Song, Alex Jinpeng Wang· 0 citations
MakeMyFigure is introduced, a free and open-source platform for data visualization, analysis, and creation of multi-panel scientific figures that combines accessible, code-free figure creation with panel-level computational reproducibility.
Suresh Poudel, Him K. Shrestha, J. Crawford et al.· bioRxiv· 0 citations
SciFigure2Code is introduced, an AI-reconstructed benchmark that instead evaluates presentation recovery: generating editable Python programs that preserve how a scientific panel is arranged and read, and provides an auditable testbed for agents that construct editable, visually faithful scientific figure presentations...
Wen-Tao Li, Yi-Bo Wu, Yi-Zhe Chen et al.· 0 citations
Structured images, such as diagrams, charts, and flowcharts, are inherently symbolic and can be compactly represented in an editable format, yet in practice, they are often rendered as images, and therefore not graphically editable. This mismatch presents a significant challenge for researchers, engineers, and designer...
Peng-Yu Yan, Yi-Xin Wu, Yun-Jie Tian et al.· 0 citations
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