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概要と使いどころ
The semantic comparisons of Gene Ontology (GO) annotations provide quantitative ways to compute similarities between genes and gene groups, and have became important basis for many bioinformatics analysis approaches. GOSemSim is an R packag
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A first step in the data analysis of Mass Spectrometry (MS) based proteomics data is to identify peptides and proteins. With this respect the huge number of experimental mass spectra typically have to be assigned to theoretical peptides derived from a sequence database. Search engines are used for this purpose. These tools compare each of the observed spectra to all candidate theoretical spectra derived from the sequence data base and calculate a score for each comparison. The observed spectrum
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cogeqc aims to facilitate systematic quality checks on standard comparative genomics analyses to help researchers detect issues and select the most suitable parameters for each data set. cogeqc can be used to asses: i. genome assembly and annotation quality with BUSCOs and comparisons of statistics with publicly available genomes on the NCBI; ii. orthogroup inference using a protein domain-based approach and; iii. synteny detection using synteny network properties. There are also data visualizat
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Provides Bayesian PCA, Probabilistic PCA, Nipals PCA, Inverse Non-Linear PCA and the conventional SVD PCA. A cluster based method for missing value estimation is included for comparison. BPCA, PPCA and NipalsPCA may be used to perform PCA o
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BEER implements a Bayesian model for analyzing phage-immunoprecipitation sequencing (PhIP-seq) data. Given a PhIPData object, BEER returns posterior probabilities of enriched antibody responses, point estimates for the relative fold-change in comparison to negative control samples, and more. Additionally, BEER provides a convenient implementation for using edgeR to identify enriched antibody responses.
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Use RightStack as a read-only Web3 stack advisor for architecture recommendations, workflow inspection, tool comparisons, and package-migration checks. Use for planning; do not treat corpus output as implementation proof.
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Amazon A+ Content strategy and creation. Module layouts, persuasive copy, comparison charts, image briefs, and conversion optimization. Use when the user asks about A+ Content, Enhanced Brand Content, product storytelling, or Amazon listing enhancement.
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Premium A+ and Brand Story — module design, lifestyle imagery, comparison charts, mobile optimization
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Amazon FBA and FBM shipping cost calculator and fulfillment optimization. Dimensional weight analysis, storage fee calculation, removal cost estimation, and fulfillment method comparison. Use when the user asks about Amazon shipping costs, FBA fees, fulfillment costs, storage fees, or shipping calculations.
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Full-spectrum Amazon competitor analysis. Compare listings, pricing, reviews, advertising strategy, and market positioning against direct competitors. Identify weaknesses to exploit and strengths to counter. Use when the user asks about competitor analysis, competitive research, ASIN comparison, pricing analysis, or how to beat competitors on Amazon.
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Create SEO-optimized pages at scale using programmatic/template-based approaches. Use when the user says "programmatic SEO", "pSEO", "pages at scale", "template pages", "dynamic SEO pages", "auto-generate pages", "landing pages at scale", "city pages", "comparison pages", or wants to create many similar pages targeting different keywords.
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Build an interactive competitive-traffic report for any company and its rivals — monthly visits (SimilarWeb), organic search traffic and Domain Rating (Ahrefs) — as one self-contained HTML page with ranked charts, a three-month trend, a multi-year overlay and a data table. Use when asked to benchmark a product against competitors, size up a market, answer "how much traffic does X get compared to Y", build a competitive landscape, or produce a traffic/authority comparison deck or page.
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Find affiliate programs in the OpenAffiliate registry, then confirm every term on the brand's own page and report each one with a verbatim quote and its source URL. Use this skill when the user wants affiliate terms they can rely on: before signing up, before publishing a review or comparison, when a listing looks outdated, or when two sources disagree. Also trigger for: "verify this affiliate program", "is X's affiliate commission still 30%", "what's the cookie length for X", "check the affiliate terms", "does X have an affiliate program", "find a recurring program and confirm the terms", "is this commission rate real", "source for X's affiliate terms", "fact-check this affiliate program", "what does X pay affiliates".
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Manage and compare multiple affiliate programs as a portfolio. Triggers on: "manage my affiliate programs", "compare my programs", "portfolio overview", "which program should I focus on", "diversify my affiliate income", "program switching", "affiliate portfolio", "program comparison", "revenue allocation", "which programs to drop", "add new programs", "affiliate program strategy".
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Build high-converting affiliate landing pages as single self-contained HTML files. Triggers on: "create a landing page for", "build a landing page", "product landing page", "affiliate landing page", "comparison page for", "vs page", "single product page", "conversion page", "sales page for affiliate", "landing page HTML", "build me a page for", "create a page to promote [product]", "I need a landing page", "make a page for [product]".
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Write "Top N best..." listicle articles for affiliate marketing with mini-reviews, pricing, pros/cons, and CTAs per entry. Triggers on: "write a best of list", "top 10 [category] tools", "best [product category] article", "roundup post", "listicle about [category]", "write a top tools article", "best [N] alternatives to [product]", "product roundup", "write a tools comparison list", "best software for [use case]", "top picks for [category]".
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Provides multi-school trading Q&A, chart/OHLCV analysis, annotation, and fresh-market workflows covering ICT/SMC, ChanLun, Wyckoff, Price Action, Order Flow, VSA, and Elliott Wave. Use for trading concepts; capability-discovery questions about available analysis lenses, Schools, models, modes, or data sources; attached charts; pasted OHLCV; chart annotation; or asset-plus-timeframe requests across crypto, stocks, or forex. Defaults unselected market analysis to strict ICT/SMC, honors explicit School/source selectors, and fails closed when no native analyzer exists. Phase 1 comparison is Q&A-only; fetch fresh Mobius Quant API data only after the capability gate.
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Google Flights cash prices, Google Hotels, and Google Travel Explore via SerpAPI. Use for award-vs-cash comparison, hotel search, and destination discovery.
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Cash vs points trip cost comparison. Factors in transfer ratios, taxes, fees, CPP valuations, and opportunity cost to recommend the best redemption strategy for flights and hotels.
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Search Chase UR travel portal via Patchright for cash prices, points pricing, Points Boost offers, and Chase Edit hotel benefits. Use for pay-with-points portal comparison on Sapphire Reserve/Preferred.
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Unified flight comparison across cash (Duffel, Ignav), award (seats.aero), and portal (Chase, Amex) sources in parallel. Outputs one table with transfer partner optimization and recommendations.
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Browser-automated Google Flights search via agent-browser. All airlines including Southwest. Cash prices, schedules, economy/business comparison, market selection.
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Search VRBO (Vrbo / Expedia Group) vacation rentals including entire homes, condos, and cabins via Patchright browser automation. VRBO sits behind Akamai Bot Manager so plain HTTP and standard Playwright get a 429 bot wall. Use for whole-home or group stays, multi-bedroom rentals, and Airbnb-vs-VRBO comparisons. Trigger phrases include search VRBO, Vrbo rentals, vacation rental, cabin rental, whole house, condo for the group.
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Unified hotel comparison across Chase Edit, Amex FHR/THC, metasearch, and Airbnb. Highlights premium program benefits, stacking opportunities, and benefit-adjusted pricing.
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。