crispr-offtarget-predictor
Predicts potential off-target sites for a given sgRNA sequence using mismatch analysis.
浏览 mdbabumiamssm 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
24收录技能的仓库 Stars 合计
224仓库 Forks
50平均每个技能的仓库 Stars
9同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Predicts potential off-target sites for a given sgRNA sequence using mismatch analysis.
Checks for potential drug-drug interactions (DDIs) between a list of medications.
Provides comprehensive code review feedback based on best practices, style guides, and potential bug detection. Use when the user requests a code review, asks for improvements to code, or needs to ensure code q...
Matches patient profiles to open clinical trials using vector similarity and inclusion/exclusion criteria. Use when a user provides patient data and asks for relevant trials.
Extracts medical entities (Diseases, Medications, Procedures) from unstructured clinical text using regex and simple rules (or LLM wrappers).
Analyzes React/Next.js code for performance bottlenecks, focusing on waterfalls, bundle size, and rendering efficiency.
Essential guidelines for writing modern, type-safe, and idiomatic Python 3 code.
Deploys a multi-agent swarm (Researcher, Reviewer, Safety Officer) to solve complex biomedical or research tasks in parallel.
A specialized tool for designing efficient and specific gRNA sequences for CRISPR-Cas9 experiments.
Optimizes black-box functions (e.g., experimental yield) using Gaussian Processes, ideal for self-driving labs.
Breaks down complex queries into a step-by-step plan before execution, improving performance on multi-hop reasoning tasks.
Standards for efficient, readable, and performant data manipulation using Python's Pandas library.
Provides comprehensive tools for working with Electronic Health Records (EHR) using the HL7 FHIR standard.
Drafts regulatory documents (FDA, EMA) with audit trails and specific "Thinking Block" reasoning. Use for high-stakes compliance writing.
Guidelines for building scalable, SEO-friendly applications with Next.js (App Router).
Predicts 3D protein structures from amino acid sequences using ESMFold or AlphaFold3 (mock).
Designs guide RNA (gRNA) sequences for CRISPR-Cas9 editing, including off-target analysis. Use when a user needs to edit a gene or asks for gRNA sequences.
A production-grade cheminformatics toolkit for analyzing molecular properties, toxicity, and synthetic accessibility.
Evaluates medical necessity for procedures like MRI against payer policies, providing approval/denial decisions with justification.
A unified interface for annotating single-cell RNA-seq data using Marker Genes, Deep Learning (CellTypist), or LLMs.
Generates executable Python protocols for Opentrons OT-2 and Flex robots from natural language descriptions.
Analyzes medical images (X-ray, MRI, CT) using multimodal LLMs to identify anomalies and generate reports.
A comprehensive guide and rule set for writing clean, performant, and maintainable React code.
Classifies genetic variants according to ACMG (American College of Medical Genetics) guidelines.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。