Showing 5 open source projects for "ancestor"

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  • Cloud tools for web scraping and data extraction Icon
    Cloud tools for web scraping and data extraction

    Deploy pre-built tools that crawl websites, extract structured data, and feed your applications. Reliable web data without maintaining scrapers.

    Automate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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  • Leverage AI to Automate Medical Coding Icon
    Leverage AI to Automate Medical Coding

    Medical Coding Solution

    As a healthcare provider, you should be paid promptly for the services you provide to patients. Slow, inefficient, and error-prone manual coding keeps you from the financial peace you deserve. XpertDox’s autonomous coding solution accelerates the revenue cycle so you can focus on providing great healthcare.
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  • 1

    AESOP-ACP

    A simulation framework for production process modeling in Python

    ACP is a simulation framework aimed to production processes modeling. Compared to its ancestor - jES - it is lightweight, more general and written in Python. The basic goal of the simulator is to find bottlenecks in production process which could be hard to detect with traditional approaches (e.g., top-down). In addition, it can be used to speculate about “what-if” scenarios in order to suggest solution strategies.
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  • 2

    pipasic

    pipasic: Protein Abundance Correction in Metaproteomic Data

    ...pipasic (peptide intensity-weighted proteome abundance similarity correction) is a tool which corrects identification and spectral counting based quantification results using peptide similarity estimation and expression level weighting within a non-negative lasso framework. pipasic has distinct advantages over approaches only regarding unique peptides or aggregating results to the lowest common ancestor.
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  • 3

    CCH

    A genetics tool that identifies genomic regions of shared ancestry

    Combinatorial Conflicting Homozygosity (CCH) uses dense Single Nucleotide Polymorphism (SNP) genotypes to identify regions of the genome inherited from a common ancestor among any or all subsets of a group. Analysis is rapid and can identify loci containing genes for dominant traits. CCH is robust to the presence of phenocopies and can detect undisclosed shared common ancestry. The associated publication regarding CCH may be accessed here: http://www.biomedcentral.com/1471-2164/16/163 If you use CCH please cite: Levine AP, Connor TM, Oygar DD, Neild GH, Segal AW, Maxwell PH, Gale DP. ...
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  • 4
    diCal-IBD

    diCal-IBD

    diCal-IBD predicts identical by descent tracts using sequence data

    ...It provides means for calculating the accuracy of the prediction, if the true tracts are available, plotting of the predicted tracts, their TMRCA (time to the most recent common ancestor) and corresponding posterior probabilities, and identification of putative recent positive selection through investigation of average IBD sharing
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  • Turn traffic into pipeline and prospects into customers Icon
    Turn traffic into pipeline and prospects into customers

    For account executives and sales engineers looking for a solution to manage their insights and sales data

    Docket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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  • 5
    PyPedal is a Python module that provides tools for the manipulation of pedigrees, simple visualization of pedigrees, and the calculation of measures of genetic diversity from pedigrees.
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