Skill UI

Programmatic access to the COSMIC cancer mutation database for downloading mutations, Cancer Gene Census, mutational signatures, fusions, copy number, expression, and resistance data to fuel oncology research or bioinformatics pipelines after authentication.

Query and download the NCI Imaging Data Commons public cancer imaging datasets via idc-index, filter by metadata, fetch DICOM files, visualize series, and respect licensing details for AI training or research.

Access multi-dimensional cancer genomics data via cBioPortal REST API for mutation, copy-number, expression, and survival insights across TCGA/GENIE studies, enabling target validation and clinical association analyses programmatically with Python clients.

Access DepMap data to fetch CRISPR Chronos dependency scores, drug sensitivity readouts, and gene effect profiles for cancer cell lines, supporting target validation, biomarker discovery, and synthetic-lethality research via API or downloads.

Analyze skin health trends, assess acne and mole risks, evaluate skincare and sun protection, and generate personalized prevention and care advice. Useful for routine skin monitoring, skin cancer prevention, and cross-analysis with nutrition, chronic disease, and medication data.

This tool provides access to the Cancer Dependency Map (DepMap) data, derived from genome-wide CRISPR screens, RNAi, and compound sensitivity assays. It allows users to query gene dependency scores, identify cancer-specific vulnerabilities, predict synthetic lethal interactions, and validate potential oncology drug targets across various cancer cell lines.

Utilizes the idc-index package to query and download large-scale, public cancer imaging datasets from the NCI Imaging Data Commons. This skill allows users to select image subsets based on diverse metadata (e.g., cancer type, modality, anatomical site) and download raw DICOM files for advanced AI training, medical research, and visualization. No authentication is required for data access.

This skill helps authors determine if their oncology manuscript is suitable for a major clinical journal, such as CA: A Cancer Journal for Clinicians. It provides a detailed guide covering the journal's editorial DNA, required scope (e.g., epidemiology, synthesis), evidence bar, and house style. Use this to re-frame and optimize your manuscript before submission, ensuring it meets the high standards of authoritative medical publishing.

A comprehensive checklist and guide for authors targeting Cancer Cell. It outlines the strict requirements for mechanistic depth, translational relevance, and evidence (e.g., orthogonal perturbations, in vivo models). Use this skill to re-frame your manuscript and ensure it meets the journal's high standards before official submission.

This skill provides a comprehensive guide for authors targeting Cancer Discovery (AACR) or similar high-impact oncology venues. It details the journal's specific fit, required evidence standards, structural expectations, and potential desk-reject risks for manuscripts in cancer biology and translational oncology. Usage is recommended when selecting a venue, framing a manuscript, or preparing for submission.

This guide provides a comprehensive structure and best practices for drafting academic cover letters and pre-submission inquiries for high-impact scientific journals, such as Cancer Cell. It covers essential elements including articulating the core advance, justifying journal fit, detailing evidence strength, managing reviewer suggestions, and adhering to professional submission standards, ensuring your manuscript stands out to editors.

This guide assists researchers in compiling and documenting all necessary ethical approvals, biosafety statements, and data/code availability declarations required for high-impact scientific manuscripts (e.g., Cancer Cell). It ensures compliance with guidelines covering animal protocols (IACUC), human subject ethics (IRB/Consent), and data sharing standards (GEO, Zenodo).