'aks' 검색 결과

Annotates ChIP-seq peaks to genomic features, nearest genes, ENCODE candidate cis-regulatory elements (cCREs), and regulatory domains. Uses ChIPseeker (R), HOMER annotatePeaks.pl (CLI), pyranges (Python), GREAT/rGREAT (regulatory domain gene-set enrichment), ChIP-Enrich (locus-length-adjusted), ENCODE SCREEN cCRE classification (PLS/pELS/dELS/CTCF-only/DNase-H3K4me3), and ENCODE-rE2G for cell-type-specific enhancer-gene linking. Handles nearest-TSS vs host-gene ambiguity, promoter window definition, and feature priority. Use when assigning genomic context to peaks, linking enhancer peaks to target genes, classifying peaks against ENCODE cCRE registry, or running gene-set enrichment on peak-associated genes.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Calls m6A peaks from MeRIP-seq / m6A-seq paired IP-vs-input data using exomePeak2 (transcript-aware, GC-bias-corrected Poisson GLM; Liu 2022 *NAR Genom Bioinform* 4:lqac046), MeTPeak (HMM over sliding windows; Cui 2016 *Bioinformatics* 32:i378), MACS3 / MACS2 with --nomodel --broad --keep-dup all (genome-wide broad alternative), and DRACH motif enrichment confirmation via HOMER or ggseqlogo as a sanity check (NOT a filter). Covers BED12 vs narrowPeak output formats, exonic vs intronic peak handling, multi-tool reconciliation (intersection vs union; cross-caller IDR-equivalent), the m6A-vs-m6Am ambiguity at 5'UTR peaks that antibody-based methods cannot resolve, and orthogonal-validation routes (miCLIP / GLORI / m6A-SAC-seq / m6Anet). Use when calling peaks from paired IP/input genome BAMs, choosing exomePeak2 (transcript-aware default) vs MACS3 (broad genomic) vs MeTPeak (HMM-smoothed low-coverage), confirming DRACH enrichment as a sanity check on the peak set as a whole, reconciling differing peak sets across tools, validating MeRIP peaks against orthogonal single-base methods, interpreting peaks at the 5' end where m6Am contamination is possible, or recommending a multi-tool consensus strategy.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Annotates ChIP-seq peaks to genomic features, nearest genes, ENCODE candidate cis-regulatory elements (cCREs), and regulatory domains. Uses ChIPseeker (R), HOMER annotatePeaks.pl (CLI), pyranges (Python), GREAT/rGREAT (regulatory domain gene-set enrichment), ChIP-Enrich (locus-length-adjusted), ENCODE SCREEN cCRE classification (PLS/pELS/dELS/CTCF-only/DNase-H3K4me3), and ENCODE-rE2G for cell-type-specific enhancer-gene linking. Handles nearest-TSS vs host-gene ambiguity, promoter window definition, and feature priority. Use when assigning genomic context to peaks, linking enhancer peaks to target genes, classifying peaks against ENCODE cCRE registry, or running gene-set enrichment on peak-associated genes.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create or edit Markdown with each prose paragraph on one source line, letting the viewer wrap the text automatically. Preserve meaningful line breaks in lists, code, and poetry while reducing unnecessary changes in file comparisons.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Writing READMEs without fixed-width line wrapping
• Joining manually wrapped Markdown paragraphs
• Keeping Markdown changes easier to review

Capture and analyze iOS memory snapshots to find objects that remain allocated unexpectedly. Trace the references keeping them alive, identify a targeted fix, and compare the same app flow before and after to document evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating memory growth in an iOS app
• Tracing retain cycles that keep objects alive
• Analyzing an existing .memgraph file

Diagnose Day-2 AKS GPU and KAITO incidents using profile-aware, read-only evidence. WHEN: 'Insufficient nvidia.com/gpu', GPU pod Pending, model-load OOM, DCGM/VRAM, KAITO Workspace not ready, or GPU autoscaling. DO NOT USE FOR: setup (airunway-aks-setup), non-GPU incidents (aks-troubleshooting), standalone VM quota (azure-quotas), or generic cost (cost-analysis or cost-optimization from the optional azure-cost plugin).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Analyze actual Azure spend, bill changes, and AKS or AI costs. WHEN: "Azure cost breakdown", "most expensive resources", "why did my bill increase", "cost spike", "unexpected charge", "Cosmos DB charges", "Foundry model costs", "AKS cluster cost", "namespace cost", "enable AKS cost analysis", "idle AKS capacity". DO NOT USE FOR: forecasts, pricing estimates, rightsizing, commitments, or budgets.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Diagnose Day-2 AKS GPU and KAITO incidents using profile-aware, read-only evidence. WHEN: 'Insufficient nvidia.com/gpu', GPU pod Pending, model-load OOM, DCGM/VRAM, KAITO Workspace not ready, or GPU autoscaling. DO NOT USE FOR: setup (airunway-aks-setup), non-GPU incidents (aks-troubleshooting), standalone VM quota (azure-quotas), or generic cost (cost-analysis or cost-optimization from the optional azure-cost plugin).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Analyze actual Azure spend, bill changes, and AKS or AI costs. WHEN: "Azure cost breakdown", "most expensive resources", "why did my bill increase", "cost spike", "unexpected charge", "Cosmos DB charges", "Foundry model costs", "AKS cluster cost", "namespace cost", "enable AKS cost analysis", "idle AKS capacity". DO NOT USE FOR: forecasts, pricing estimates, rightsizing, commitments, or budgets.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Inspect, stream, and explicitly adjust live Android UI tweak values or invoke app-owned actions through Snap-O. Use when a request mentions Snap-O Tweaks, tweak-enabled Android apps, runtime UI parameters, Compose tweak or action controls, tweak discovery, previously adjusted or currently inactive tweaks, applying all user-made tweak changes, typed values, defaults or resets, tweak batches, explicitly registered actions, the Tweaks REST/SSE API, or selecting between CLI, macOS tool, in-app overlay, and custom tweak interfaces.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS"...

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gitleaks + pre-commit を使ってローカルコミット時のクレデンシャル混入を機械的にブロックする。「クレデンシャル漏洩防止」「シークレット混入対策」「gitleaks」「pre-commit シークレット」「credential leak prevention」に言及した場合に使用する。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

OpenClaw 테스트의 메모리 증가와 부족 원인을 조사합니다. 측정값과 메모리 객체 기록을 비교해 실제 해제 누락과 테스트 프로세스의 모듈 보존을 구분하고 수정 결과를 검증합니다.

• Vitest 메모리 부족 원인을 조사합니다
• 같은 프로세스의 메모리 기록을 비교합니다
• 해제 누락과 모듈 보존을 구분합니다

Inspect a site's login flow for token leaks, missing protections against forged requests, exposed session cookies, and OAuth configuration issues. Produce a structured findings report with severity ratings and a pass, warn, or fail verdict.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a login flow before deployment
• Investigating suspected token leaks
• Checking authentication redirects

Review page source, browser JavaScript, and Git history for exposed API keys, passwords, and tokens. Identify potential leaks and guide fixes, including moving secrets to the server, replacing compromised credentials, and adding checks before commits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking browser code for exposed API keys
• Finding credentials committed to Git
• Moving secret-dependent API calls to the server

Find and fix JavaScript memory leaks that accumulate as people use a web app. Review event listeners, timers, retained page elements, and outdated asynchronous tasks, then explain how to verify cleanup in the browser.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating rising memory use during long sessions
• Reviewing cleanup when components are removed
• Canceling outdated requests after view changes

Review AI skills and bundles without running their code. Checks for data leaks, suspicious permissions, hidden code, and system changes across desktop and mobile platforms, then reports flagged actions, risk scores, and suggested mitigations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review an AI skill before installing it
• Check a skill bundle for data leaks and suspicious actions
• Inspect Android and iOS threats in skill files

Plan Azure infrastructure around application needs, scale, and budget. Generate Bicep templates, files that define cloud resources as code, then review estimated costs, configure deployment pipelines, and check security settings before production.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning Azure infrastructure for a web app
• Choosing services for microservices or event-driven processing
• Generating Bicep templates and deployment pipelines

Helps design and provision Microsoft Azure infrastructure using az CLI and Bicep configuration files. Covers choosing application hosting services, managing identities and secrets, designing networks, setting up monitoring, and organizing resources for cost management.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Define repeatable infrastructure with Bicep
• Choose hosting services for web apps and containers
• Design identity permissions and secret storage

Plan or run quality checks and peak calling, which identifies enriched genomic regions, for ChIP-seq, CUT&RUN, and CUT&Tag. The workflow accounts for controls and replicates and prepares signal tracks, quality reports, and differential binding designs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check data quality and enrichment signals
• Choose narrow or broad peaks for the biological target
• Create bigWig tracks and quality dashboards

Plan or run ATAC-seq analysis to identify accessible DNA regions. Check sequencing quality, align reads, detect peaks, combine evidence across replicate samples, and prepare comparisons between conditions with quality summaries and visualization tracks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check the quality of ATAC-seq samples
• Detect accessible DNA regions from FASTQ or BAM files
• Build consensus peaks across replicate samples

Unwraps hard-wrapped markdown files so that each sentence ends with a newline instead of mid-sentence line breaks. Joins continuation lines within a paragraph into single lines, then re-breaks at sentence boundaries (period, question mark, exclamation point). Preserves blank lines, headings, fenced code blocks, block quotes, and list items. Use when asked to unwrap text, fix line breaks, reflow sentences, or clean up hard-wrapped markdown or .qmd files.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Plan, deploy, operate, and troubleshoot Azure Local (formerly Azure Stack HCI): sizing and prerequisites, Arc registration, lifecycle updates, workloads (Azure Local VMs, AKS on Azure Local, images, disks, logical networks), SDN and network security, and failure triage — starting read-only and confirming before risky changes. WHEN: Azure Local, Azure Stack HCI, Arc resource bridge, custom location, Azure Local VM, Arc VM, AKS on Azure Local, AKS hybrid, SDN, Lifecycle Manager, Azure Local update, disconnected site.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ChIP-seq peak calling using MACS3 (or MACS2). Call narrow peaks for transcription factors or broad peaks for histone modifications. Supports input control, fragment size modeling, and various output formats including narrowPeak and broadPeak BED files. Use when calling peaks from ChIP-seq alignments.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.