6.8천건 · 관련도순
Build interactive HTML/web visualizations with plotly (Python/R), bokeh (Python), and gganimate/plotly frames for animation, with awareness of current Kaleido static-export model (post-orca-EOL), HTML file-size bloat, and the limits of interactive-only output for journal submission. Use when producing zoomable/hoverable plots for notebook EDA, supplementary HTML, dashboards, or animated time-course / iteration visualizations.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Download genome assemblies, gene records, and ortholog data from NCBI using the modern Datasets v2 CLI (replaces assembly_summary.txt scraping and many EFetch workflows). Use when bulk-pulling genome assemblies, gene metadata across species, ortholog sets, or BLAST databases; when E-utilities are too slow for genome-scale work; or when automatic checksum verification, parallel download, and clean accession-driven retrieval are required. Encodes the JSON-lines output format, dataformat conversion, --dehydrated for cloud workflows, and when Datasets is/isn't the right tool.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Classify constitutional (germline) copy number variants for clinical reporting using the 2019 ACMG/ClinGen technical standards points-based framework, with ClassifyCNV and AnnotSV for semi-automated scoring. Covers the separate copy-number-loss and copy-number-gain rubrics, the five-tier classification, ClinGen haploinsufficiency/triplosensitivity and dosage-sensitive regions, de novo and segregation evidence, and population-frequency benign evidence. Use when assigning pathogenic/likely-pathogenic/VUS/likely-benign/benign to a constitutional CNV, scoring a CNV against ACMG/ClinGen criteria, or distinguishing the automatable evidence from the case-specific evidence requiring manual input.
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.
Project gene annotations across genomes using TOGA (Kirilenko 2023 whole-genome-alignment chain-based projection with intactness classification), CESAR 2.0 (Sharma & Hiller 2017 codon-aware exon projection), LiftOff (Shumate & Salzberg 2020 reference-based annotation transfer), Liftover (UCSC), GeMoMa (Keilwagen 2019 evidence-based projection), and Comparative Annotation Toolkit (CAT). Use when transferring annotations from a well-annotated reference to query genome(s), classifying gene-loss vs gene-intact across many genomes at scale, building Zoonomia-style comparative annotations across hundreds of mammals or birds (Kirilenko 2023), detecting pseudogenization, projecting alternative isoforms, or selecting between WGA-anchored (TOGA) vs ortholog-based (LiftOff) annotation transfer strategies.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Implements multiplicity control for confirmatory clinical trials using graphical procedures (Bretz-Maurer-Hommel), gatekeeping (parallel, serial, mixed), Hochberg/Hommel/Holm with PRDS, and the closed-testing principle (Marcus-Peritz-Gabriel; Goeman 2021 admissibility). Covers FDA Multiple Endpoints Final Guidance (October 2022), graphical procedures via R gMCP, primary + key-secondary + subgroup hierarchies, and FWER vs FDR distinction. Use when designing the multiplicity strategy for confirmatory trials with multiple primary or key secondary endpoints.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when a carrier asks which KPIs to track, how to build a fleet dashboard, what targets to set, cadence for reviewing metrics (daily / weekly / monthly / quarterly), and how to operationalize data into actions. Covers safety, operations, financial, driver, and customer KPIs.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill to evaluate document retention software options. Covers compliance features, ease of use, integration, and cost.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when the user asks how to recruit CDL drivers — sourcing channels (CDL schools, job boards, military, returning citizens, owner-operator pools), application + screening process, signing bonus structures, recruitment marketing, fleet ambassador programs, and what's working in the current driver market. Reference ATA Workforce Development.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill to develop the capability to investigate crashes internally. Covers what to look for, when to escalate to outside experts, and documentation standards.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when a carrier asks about tire program design, when to retread vs replace, position management (steer vs drive vs trailer), inflation pressure standards, casing management, scrub rates, road-call prevention, or vendor program selection (Bridgestone, Michelin, Continental, Goodyear). Covers 49 CFR 393.75 and DOT roadside out-of-service criteria.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when the user asks where to find specific information at fmcsa.dot.gov — the SAFER (Safety and Fitness Electronic Records System), Carrier Snapshot, Compliance Safety Accountability (CSA) data, PSP (Pre-Employment Screening Program), Clearinghouse, Unified Carrier Registration (UCR), MCS-150 update, complaints, DataQs, and the FMCSA Portal login. Reference fmcsa.dot.gov.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill to understand FMCSA cardiac certification standards. Covers what cardiac conditions disqualify, time-to-clearance, and what documentation is needed for examiner certification.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when the user asks about Motor Vehicle Records (MVRs), 49 CFR 391.25 annual MVR review, continuous MVR monitoring services (SambaSafety, Foley, etc.), state MVR fees, what to look for on an MVR, CDLIS (Commercial Driver License Information System), or how often MVRs must be pulled. Cite 49 CFR 391.25 and 391.27.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when an inspector requests ELD records during a roadside inspection. Covers the three required transfer methods, what data must be transmitted, and common failure modes.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when a driver does not meet federal medical standards and needs to apply for a variance. Covers application steps, required documentation, and review timeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill to clarify when a driver must report a conviction to the carrier, and what records the driver must maintain. Covers § 391.27 annual driver's certificate.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when your carrier is selected for an IFTA audit. Covers what records to produce, how the audit is conducted, and common findings.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when you receive an IFTA audit notification and need to defend your records. Covers preparation, common arguments, and dispute escalation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when the user asks how to pay CDL drivers — cents per mile (CPM), percentage of revenue, hourly, salary, sleeper-team rate, detention pay, driver-pay laws under FLSA (Fair Labor Standards Act), and how each model affects retention + recruitment. Cite FLSA + state wage laws.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when the user asks how to design or improve a fleet safety scorecard — what KPIs to track, how to weight them, telematics signals vs document compliance vs roadside outcomes, monthly cadence, driver-facing vs admin-facing dashboards, gamification considerations, peer-comparison metrics, and how a scorecard ties to insurance premiums + retention. Reference SMS Methodology v3.20 for industry-standard weights.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when the user asks about DataQ — FMCSA's data review system at dataqs.fmcsa.dot.gov — for disputing inspection violations, crash records, or other entries that appear in a carrier's CSA / SMS score. Covers Request for Data Review (RDR) process, success rates, common dispute grounds, what evidence to attach, timeline expectations, and how successful disputes reduce BSI (BASIC Severity Indicator) scores. Cite 49 CFR 392.7 and the FMCSA DataQs User Guide.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when buying another carrier and inheriting their drivers' DQF library. Covers the legal transfer of DQ records, what new owner must verify, and gaps that commonly require remediation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when discussing the mobile apps drivers use day-to-day — load boards (DAT, Truckstop), route planners (Trucker Path, CoPilot Truck), expense and per diem apps (Per Diem Plus), parking apps (Park My Truck), maintenance / DVIR apps, and how these stack with the carrier's ELD app.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.