「omics」の検索結果

Workflow for spatial transcriptomics preprocessing, domain detection, deconvolution, neighborhood analysis, and publication-ready maps.

日本語の概要は準備中です。原文の説明を表示しています。

Shotgun metagenomics workflow with host-depletion-aware QC, taxonomic profiling, functional profiling, AMR follow-up, and reproducible community output tables.

日本語の概要は準備中です。原文の説明を表示しています。

Workflow for predictive modeling, biomarker discovery, survival modeling, and explainability over omics-derived features.

日本語の概要は準備中です。原文の説明を表示しています。

Workflow for integrating matched or partially matched omics layers into shared latent structure and cross-modal interpretation.

日本語の概要は準備中です。原文の説明を表示しています。

Workflow for untargeted or targeted metabolomics including preprocessing, normalization, annotation, statistics, and pathway mapping.

日本語の概要は準備中です。原文の説明を表示しています。

Workflow for Hi-C and related 3D genomics analyses including compartments, loops, TADs, differential contacts, and visualization.

日本語の概要は準備中です。原文の説明を表示しています。

Patterns for building robust, reproducible genomics analysis pipelines. Covers workflow managers, NGS data processing, variant calling, RNA-seq, and common bioinformatics pitfalls. Use when ", " mentioned.

日本語の概要は準備中です。原文の説明を表示しています。

DeFi protocol specialist for AMMs, lending protocols, yield strategies, and economic securityUse when "defi, amm, liquidity pool, lending protocol, yield farming, oracle, liquidation, tokenomics, tvl, impermanent loss, defi, amm, lending, yield, liquidity, oracle, tokenomics, protocol, ethereum, web3" mentioned.

日本語の概要は準備中です。原文の説明を表示しています。

Applies the operational and scientific frameworks of Stacey Gabriel (genomicist and sequencing platform leader at the Broad Institute). Use this skill whenever the user is designing large-scale biomedical research, operationalizing lab workflows, standardizing data governance, or transitioning from bespoke academic experiments to industrial-scale science. It is highly relevant for queries involving genomics, precision medicine, multiomics, cellular perturbation pipelines, or building massive datasets to fuel AI. Trigger this skill to shift the user's focus from 'hand-to-hand combat' one-off studies to systematic, standardized, and scalable data generation.

日本語の概要は準備中です。原文の説明を表示しています。

Applies the computational biology and AI-driven reasoning of Aviv Regev (computational biologist, Genentech, single-cell genomics). Use this skill whenever the user is dealing with experimental design, high-dimensional data analysis, integrating AI into scientific workflows, scaling biological research, or navigating noisy, complex systems. Trigger this for topics like single-cell genomics, drug discovery, biological atlases, interdisciplinary research strategy, or when deciding between depth vs. breadth in data collection.

日本語の概要は準備中です。原文の説明を表示しています。

16 evidence-graded behavioral-economics primitives. Use when asking will this nudge work, is a pricing decoy or dark pattern lawful, or what effect size to expect.

日本語の概要は準備中です。原文の説明を表示しています。

Tokenomics Designer: Token supply, utility, emissions, vesting, governance and incentive alignment.

日本語の概要は準備中です。原文の説明を表示しています。

Financial reconnaissance — audit current P&L, burn rate, runway, unit economics, and financial health to understand where the constraint is. Use when asked to "audit our finances", "what is our runway", "are our unit economics healthy", or "before building a financial model".

日本語の概要は準備中です。原文の説明を表示しています。

Audit and improve unit economics — LTV, CAC, payback period, gross margin, contribution margin. Use when asked to "are our unit economics good", "what is our LTV/CAC", or "how do we improve gross margin".

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Economics of low-income countries and the structural transformation from agrarian poverty to industrial prosperity. Covers growth models (Solow, endogenous growth, unified growth theory), the role of institutions (inclusive vs. extractive), inequality measurement and dynamics (Gini, Lorenz curve, Kuznets), poverty traps and their mechanisms (nutritional, financial, geographical), foreign aid debates, and the capability approach as an alternative development metric. Use when analyzing why some countries are rich and others poor, evaluating development interventions, or reasoning about the relationships between growth, inequality, institutions, and human well-being.

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Foundations of individual economic decision-making, market structures, and strategic interaction. Covers supply and demand analysis, price elasticity, consumer and producer surplus, market structures (perfect competition, monopoly, oligopoly, monopolistic competition), game theory (Nash equilibrium, dominant strategies, repeated games), and welfare economics. Use when analyzing individual markets, firm behavior, pricing strategies, consumer choice, or strategic interactions between economic agents.

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Builds fund economic models with sensitivity across deployment pace, exit multiples, and fee/carry structures for LP and GP returns. Use when modeling fund economics, projecting LP net returns, or analyzing fee-adjusted performance.

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Builds carbon credit models with offset generation analysis, verification costs, and market pricing dynamics for carbon-linked investments. Use when modeling carbon credits, analyzing offset economics, or evaluating carbon market exposure.

日本語の概要は準備中です。原文の説明を表示しています。

Evaluates tender offer structures with premium analysis, proration risk, and conditional tender strategies. Use when analyzing tender offers, calculating tender economics, or evaluating proration scenarios.

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Evaluates seed/anchor investor economics with revenue sharing, fee discounts, capacity reservations, and governance rights. Use when analyzing seed terms, structuring anchor economics, or evaluating founding investor arrangements.

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Evaluates vertical integration decisions with make-vs-buy analysis, supply chain control benefits, and margin capture opportunity assessment. Use when analyzing vertical integration, evaluating supply chain strategy, or assessing integration economics.

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Evaluates SPAC de-SPAC transaction economics with sponsor dilution, redemption risk, PIPE analysis, and warrant impact. Use when analyzing SPAC deals, evaluating sponsor economics, or modeling de-SPAC outcomes.

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Evaluates OFS sector investments with rig count sensitivity, day rate analysis, and technology adoption curves. Use when analyzing oilfield services, evaluating service company economics, or assessing technology uptake.

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Reviews startup financial models for investor readiness: validates unit economics, stress-tests runway scenarios, and benchmarks metrics against stage-appropriate targets. Use the full review, about 10–15 minutes, when the user provides a financial model (Excel, CSV, or a model pasted as text) and asks for review, validation, runway analysis, or unit-economics scoring. For a single money question with figures to compute, such as 'how long do I have?' or 'is a 4x burn multiple bad?', use its shorter quick check, so the answer comes from the calculator and dated benchmarks, not mental arithmetic.

日本語の概要は準備中です。原文の説明を表示しています。