'ods' 검색 결과

Trains and applies base-resolution deep learning models on ChIP-seq / ChIP-nexus / CUT&RUN data. Uses BPNet (Avsec 2021 Nat Genet 53:354; soft motif syntax from ChIP-nexus), chromBPNet (Pampari A et al 2024 bioRxiv; bias-factorized base-resolution profiles), EnFormer (Avsec 2021 Nat Methods 18:1196; 196 kb input, ~100 kb effective receptive field), DeepSEA (Zhou 2015; multi-task CNN), and JASPAR 2026 deep-learning collection (1259 BPNet ChIP models). Performs in silico mutagenesis for variant-effect prediction, DeepLIFT/Grad attribution, and TF-MoDISco motif discovery from attribution scores. Use when predicting variant effects on TF binding, discovering soft motif syntax / cooperativity, integrating ChIP-seq with sequence-only predictions, or applying precomputed JASPAR Deep Learning models to new variants.

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Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.

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Search scientific papers via the BGPT MCP server and retrieve structured experimental data — methods, results, conclusions, quality scores, and 25+ metadata fields per paper.

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Structured second-pass reasoning after code review or plan evaluation. Offers named reasoning methods (pre-mortem, inversion, red team, Socratic, etc.) to re-examine findings through a specific lens. Use after /mk:review verdict or any time deeper analysis is needed on an existing output. NOT for initial review (see mk:review); NOT for creating implementation plans (see mk:plan-creator).

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Recommends use of hybrid closed-loop pump rather than insulin pump with CGM (without algorithm) or multiple daily injections with CGM for pregnant individuals with type 1 diabetes. Triggered when deciding on insulin delivery methods for pregnant patients with type 1 diabetes.

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Suggests either continuous glucose monitor (CGM) or self-monitoring of blood glucose (SMBG) for pregnant individuals with type 2 diabetes. Triggers include decisions about glucose monitoring methods for pregnant patients with T2DM needing a monitoring strategy.

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Evaluates basal insulin rates through basal rate testing across different time periods and adjusts as indicated. Triggered by clinician orders to 'Perform basal rate test to verify pump settings' or 'Check basal rates during periodic pump review'.

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Interact with Langfuse and access its documentation. Use when needing to (1) query or modify Langfuse data programmatically via the CLI — traces, prompts, datasets, scores, sessions, and any other API resource, (2) look up Langfuse documentation, concepts, integration guides, or SDK usage, or (3) understand how any Langfuse feature works. This skill covers CLI-based API access (via npx) and multiple documentation retrieval methods.

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detailed information about kitten space agency (KSA) game code, decompiled sources, modding patterns, architecture and best practices for working with mods and the game codebase

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Control Eight Sleep pods (status, temperature, alarms, schedules).

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Let your agent shop online with guardrailed wallets, multiple payment methods, and owner approval.

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Expert-level nanotechnology covering nanomaterials, nanofabrication, characterization methods, nanoelectronics, nanomedicine, and self-assembly.

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Expert-level polymer science covering polymer structure, thermoplastics and thermosets, mechanical behavior, processing methods, and polymer selection for engineering applications.

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Expert-level biophysics covering single molecule techniques, membrane biophysics, protein mechanics, motor proteins, ion channels, and biological imaging methods.

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Expert-level control theory covering PID control, state-space methods, stability analysis, optimal control, robust control, and nonlinear control.

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Expert-level hydrogen energy covering production methods, storage, fuel cells, hydrogen economy, safety, and the role of hydrogen in decarbonization.

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Expert-level fusion energy covering plasma physics fundamentals, confinement methods, tokamak design, ITER, private fusion ventures, and the path to commercial fusion power.

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Expert-level exoplanet science covering detection methods, orbital dynamics, planetary atmospheres, habitability, and the search for biosignatures.

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Expert-level dark matter physics covering observational evidence, candidate particles, detection methods, structure formation, and alternative gravity theories.

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Expert-level astrodynamics covering orbit determination, trajectory optimization, launch vehicle ascent, re-entry dynamics, and numerical methods for space mission analysis.

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Expert-level heat exchanger design covering shell and tube, plate, air coolers, heat integration, fouling, and thermal-hydraulic design methods.

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Expert-level hydrology covering the water cycle, surface water hydrology, groundwater, watershed analysis, flood hydrology, water quality, and water resource management.

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Expert-level applied electromagnetics covering transmission lines, waveguides, antennas, microwave circuits, EMC, and computational EM methods.

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Expert-level aerodynamics covering subsonic and supersonic flow, lift and drag, airfoil theory, boundary layers, compressible flow, and CFD methods.

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