Skill UI

A comprehensive guide to restructuring scientific manuscripts from a collection of isolated findings into a single, compelling, and cohesive narrative arc. It forces the story into a Hypothesis → Mechanism → Significance structure, ensuring that every figure advances a central, airtight argument, crucial for top-tier journal submissions.

This guide details the stringent requirements for writing high-stakes scientific summaries, such as those required by top-tier journals. It teaches how to condense complex research into a single, unstructured, quantitative paragraph (≤ 150 words) that explicitly names the underlying mechanism, answers the 'how,' and conveys broad significance to a general life-science readership. Focuses on structure, clarity, and impact.

This guide helps authors prepare for high-level theoretical journal submissions, focusing on the specific requirements of single-anonymous peer review. It details appropriate article types (Article, Miscellanea, ET Interviews), and provides a comprehensive checklist to war-game potential referee objections regarding assumptions, proof gaps, convergence rates, and novelty, significantly improving submission quality.

This skill guides authors to evaluate if their mechanistic immunology study meets the high standards of the journal Immunity. It serves as a comprehensive pre-submission checklist, detailing required evidence (in vivo validation, single-cell genomics, multi-omic data), necessary mechanistic depth, structural requirements, and strict submission guidelines to ensure the core advance is the immune mechanism.

A comprehensive guide for converting manuscripts from traditional author-date citation styles to the current Molecular Cell/Cell Press numbered format. This skill details the mechanics of in-text superscripts (ordered by first appearance), the creation of a single, continuous numbered reference list, and the required formatting for journal articles, books, and datasets. It ensures authors correctly transition their work to meet rigorous academic publishing standards.

A guide for researchers on transforming diverse experimental results into a single, coherent, and highly focused molecular narrative. It teaches the structure required for top-tier molecular biology publications, emphasizing the link between the molecular actor, the proven mechanism, and the physiological consequence. Essential for shifting the focus from a 'catalog of techniques' to a unified, powerful scientific argument.

This comprehensive guide instructs authors on creating mandatory, high-impact scientific communication artifacts for top-tier journals. It covers writing concise, mechanistic 'Highlights' (3-4 bullet points), developing an accessible, third-person eTOC blurb, and designing a single-panel Graphical Abstract. Essential for late-stage manuscript polishing and maximizing scientific impact.

A comprehensive guide on structuring and writing high-impact scientific summaries, specifically modeled after the standards of journals like Molecular Cell. This skill teaches how to transform raw research findings into a single, polished, unstructured paragraph (~150 words). The summary must explicitly name the molecular mechanism, provide quantified evidence, establish the biological context, and articulate the physiological significance, ensuring the writing is clear for a specialized molecular biology readership.

This guide is designed for advanced academic research, helping scholars evaluate whether their current research idea meets the rigorous standards of top-tier economics journals (e.g., REStud). It teaches how to distill complex findings into a single, original, and technically excellent contribution, diagnosing potential weaknesses in novelty, scope, and general interest.

Scanpy is a powerful, scalable Python toolkit built on AnnData for comprehensive single-cell RNA-seq data analysis. It supports the complete biological workflow, including quality control, normalization, dimensionality reduction (PCA, UMAP, t-SNE), clustering, marker gene identification, and sophisticated cell type annotation, enabling the generation of publication-quality figures.