'panel' 검색 결과

Assesses the quality and completeness of a genome annotation with BUSCO (conserved single-copy ortholog recovery), OMArk (proteome completeness, consistency, and contamination), CheckM2 (prokaryotic completeness/contamination), and a gene-set sanity panel (gene count, mono-exonic fraction, protein-length distribution, mRNA:gene ratio, coding density). Covers the assembly-BUSCO-vs-proteome-BUSCO diagnostic, what BUSCO-Duplicated really means, why gene count is a vanity metric, and the QC of transferred annotations. Use when judging whether an annotation is good enough to publish or submit, diagnosing a suspect annotation, or comparing annotation completeness across pipelines.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build UpSet plots to visualize set intersections beyond 4 sets (where Venn fails) using ComplexUpset (modern, ggplot2-grammar) or the unmaintained UpSetR, with explicit cardinality vs degree sorting, attribute panels, and query highlighting. Use when comparing overlap across many gene sets, peak sets, variant lists, or any set membership matrix where Venn diagrams become illegible.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Batch effect correction for CRISPR screens covering ComBat empirical-Bayes, RUV, SVA, control-sgRNA normalization, and the model-based alternative of including batch as a covariate in MAGeCK MLE or Chronos. Covers screen-specific batch sources (passage cohort, library lot, infection day, sequencing run, Cas9 lot, FBS lot), PCA + variance-decomposition diagnostic to decide if correction is needed, when correction harms biology by over-correcting condition into batch, limma removeBatchEffect for visualization-only correction, and relationship to multi-condition design matrices. Use when combining screens for joint analysis, when passage cohort confounds biology, when DepMap-style panels need Chronos with batch covariates, when picking ComBat vs RUV, or when correction harms biology and should be replaced with explicit covariate modeling.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Calculates tumor mutational burden from WES/WGS/panel data with Friends of Cancer Research harmonization equations, per-assay calibration (FDA 10/Mb = 7.8 TSO500 = 8.4 OncomineTML), synonymous/indel/germline filtering, hypermutator tiering, blood TMB, and integration with HLA-LOH and neoantigen quality (Luksza 2017 fitness). Use when assessing ICI eligibility under tumor-specific cutoffs (McGrail 2021), comparing tissue vs bTMB, or auditing TMB-H reporting against ESMO 2024 and FDA pembrolizumab pan-tumor 2020.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Constructs and validates polygenic risk scores using LDpred2-auto, SBayesRC, MegaPRS, PRS-CS, PROSPER, MUSSEL, BridgePRS, JointPRS, PRSmix, or PGS Catalog Calculator with ancestry-aware reference panels (HapMap3, UKB-LD), Pejaver-style calibration, and PRS-RS reporting standards. Use when computing PRS for cohorts, applying Whiffin-style absolute-risk transformation, assessing cross-ancestry portability (Martin 2017 / Ding 2023 continuous ancestry), or auditing PRS manuscripts against the 22-item PRS-RS reviewer checklist.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Normalize read-depth copy-ratio profiles and segment them into copy-number regions using circular binary segmentation (CBS, DNAcopy), hidden Markov models, HaarSeg, and fused-lasso methods. Covers GC-content, mappability, and replication-timing (wave-artifact) bias correction, panel-of-normals/PCA denoising, diploid-baseline centering, and algorithm selection by sequencing depth and event size. Use when choosing a segmentation algorithm, correcting depth bias, diagnosing oversegmentation or a mis-centered baseline, tuning CBS or HMM parameters, or understanding why a downstream CNV caller produced fragmented or shifted segments.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Call copy number variants with the GATK best-practices workflows — the somatic CNV pipeline (CollectReadCounts, DenoiseReadCounts with tangent normalization, ModelSegments, CallCopyRatioSegments) and the germline GATK-gCNV pipeline (DetermineGermlineContigPloidy, GermlineCNVCaller cohort/case mode, PostprocessGermlineCNVCalls). Covers panel-of-normals construction, AnnotateIntervals/FilterIntervals, allelic-count integration, and QS-based filtering. Use when integrating CNV calling into a GATK variant pipeline, calling rare germline CNVs from an exome cohort, deciding between the somatic and germline GATK workflows, or diagnosing why tangent normalization removed a real event or why gCNV output has low precision.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Segments the genome into chromatin states from combinatorial histone modification and chromatin factor ChIP-seq data. Uses ChromHMM (multivariate HMM on binarized signal, v1.27), Segway (Dynamic Bayesian Network on continuous signal), EpiSegMix (flexible-distribution HMM with duration modeling, 2024), EpiLogos (multi-biosample visualization), IDEAS (cell-type-aware joint), and full-stack ChromHMM (Vu Ernst 2022) for cross-cell-type segmentations. Handles state-count selection (15 vs 18 vs 25 states), binarization choice, OverlapEnrichment / NeighborhoodEnrichment downstream analysis, and cross-biosample integration. Use when learning chromatin states from a histone mark panel, characterizing learned states by genomic feature enrichment, or comparing chromatin landscapes across cell types.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Detects aberrant splicing in single rare-disease patients vs a control panel using FRASER 2.0 (Bioconductor; Beta-binomial autoencoder on Intron Jaccard Index, default delta cutoff 0.1, q hyperparameter), OUTRIDER (gene-level outlier expression via autoencoder denoising), LeafcutterMD (Dirichlet-multinomial outlier mode of LeafCutter for annotation-free junctions), and DROP (Snakemake pipeline integrating FRASER2 + OUTRIDER + monoallelic expression for clinical diagnostics). The statistical model is fundamentally different from differential splicing — single-sample-vs-cohort outlier detection rather than two-group comparison. Standard tool in EU rare-disease (Solve-RD) and NIH UDN programs. Use when applying RNA-seq to undiagnosed Mendelian disease, validating predicted splice variants in clinical samples, or detecting cryptic splicing in disease tissue.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill when the user asks about commercial driver drug & alcohol testing under 49 CFR 382 + 40 — the six testing reasons (pre-employment, random, post-accident, reasonable suspicion, return-to-duty, follow-up), MRO process, SAP/return-to-duty process, post-accident triggers, random selection rates, what panels are tested, refusal definitions, or testing programs and consortiums. Cite specific 49 CFR 382 or 40 subsection.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Design dashboards for migrations and runtimes. Use for authority drift, verifier status, burn-down, runtime health, or pain panels. NOT for vanity analytics, ad hoc charts, or duplicate reporting.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Lean, sharp UI posture — the everyday default for building or redesigning a UI. Use when asked to build or make a page, panel, list, form, or dashboard good, cleaner, or nicer, or for a fast confident refresh where the agent uses its judgment instead of asking for a spec.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Dense UI posture — maximum information density with clear hierarchy. Use when building or reworking admin dashboards, data tables and grids, ops or monitoring views, settings-heavy panels, debug inspectors, state or log viewers, and multi-pane tool UIs someone drives all day.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

The TTS/STT/audio-playback system behind the one `speak()` entry point. Use when working on read-aloud, the Listen panel, voice/speed settings, transcription, mic capture, SpeakerButton, iOS playing silence, audio API routes, or files in features/audio/, features/tts/, hooks/tts/, app/api/audio/.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Continuous localhost UI iteration loop with Arman, through full surface certification. Use when he asks to fix, refine, review, or iterate on a page, route, panel, overlay, or other UI while he may inspect localhost. NOT for a report-only UI audit.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Disclosing a surface's existing fixed AI jobs in the shell's top Agents menu. Use when a page, panel, overlay, or window already runs a mandate behind a button, assist, automatic action, or mode; when the agent-disclosure guard names a file; or during a surface check.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

AssociationEntitySelect, the name dropdown for the note, session, chat, or document a panel is bound to. Use when a surface must show that name and let the user rename, switch, unlink, or add new ('add a note switcher', 'show the session name'). NOT for count cards or row lists (use canonical-associations).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Adding a file type or upgrading any of its capability slots in the files feature (preview, edit, thumbnail, grid card, info, share, versions, conversion, diff, rail panel). Use when supporting a new extension or MIME type, building a previewer, touching FILE_TYPES, PreviewKind, FilePreview.tsx, EDITABLE_KINDS, or surfaces/single-file/, or working the FILE_SURFACES.md wishlist.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

The matrx-frontend side of the matrx-extend Chrome extension bridge. Use when adding or changing a FRONTEND_RPC action handler, a window-panels deep-link the extension opens, a headless API route it calls, or debugging a silent chrome.runtime.sendMessage or Broadcast round-trip. NOT for code in matrx-extend, matrx-local, or aidream (each has its own connect-* skill).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Admin debug system wiring for the floating AdminIndicator's live debug data and Copy Full Context. Use when adding debug visibility to a route or feature, wiring useDebugContext or the debug panel, capturing console errors, or enabling the copy-context workflow for a page.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Sizing tokens for compact sidebars, nav panels, and menu lists. Use when building or refactoring a sidebar, settings menu, category list, filter bar, or expandable nav tree, or when a sidebar looks too wide, too padded, or wastes space.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Directs screens and proves they fit — game menus and HUD, web dashboards, single-page artifacts, store-page layouts and plugin panes. Writes the design brief (layout, hierarchy, spacing and type scales, every state, focus and hit size, a check against generic-looking output) and probes the rendered page at phone-to-desktop widths in every theme. Trigger to design or lay out a menu, HUD, dashboard, settings screen or panel, or review its mockup before the build; when a page scrolls sideways on a phone, text is clipped or a dark theme breaks; to check that a page or pane fits from 320 to 1440 px in light and dark; for UI direction before a build, even when nobody says design; or say uismith (direct, probe, fit-first audit). The probe needs optional Playwright. A critique, scored review or brand pass of a built page, palettes and type are brandscribe's; sprites and icons pixelsmith's; Godot scene proof godotsmith's; words commscribe's.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

When the user wants to cut 2D sheets optimally, minimize waste in rectangular sheet cutting, or solve two-dimensional cutting stock problems. Also use when the user mentions "2D cutting," "sheet cutting optimization," "panel cutting," "glass cutting," "steel plate cutting," "guillotine cutting patterns," "two-stage cutting," or "2D trim loss." For 1D problems, see 1d-cutting-stock. For bin packing, see 2d-bin-packing. For irregular shapes, see nesting-optimization.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Knowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and sequential image generation. Use when user asks to create "知识漫画", "教育漫画", "biography comic", "tutorial comic", or "Logicomix-style comic".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.