Relevant bibliographies by topics / GitHub Pages

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Academic literature on the topic 'GitHub Pages'

Author: Grafiati
Published: 28 June 2021
Last updated: 11 February 2022

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Journal articles on the topic "GitHub Pages"

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Utomo, Prayudi, and Falahah. "Building Serverless Website on GitHub Pages." IOP Conference Series: Materials Science and Engineering 879 (August 7, 2020): 012077. http://dx.doi.org/10.1088/1757-899x/879/1/012077.

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Thornberry, Evan, and Phil White. "GitHub and Jekyll for Publishing GIS Workshop Content." Bulletin - Association of Canadian Map Libraries and Archives (ACMLA), no. 166 (December 4, 2020): 25–30. http://dx.doi.org/10.15353/acmla.n166.3463.

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In this article, we describe GitHub in simple terms and demonstrate its practical value as a platform for delivering workshop instruction. This article stems from a virtual pre-conference workshop we delivered at the 2020 annual meeting of the Western Association of Map Libraries (WAML). We describe an easily replicated workflow for publishing workshop materials and documentation to the web using GitHub Pages and provide a GitHub repository that readers of this article can copy and customize to suit their own workshop needs.
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Loginova, Julia, and Pia Wohland. "How to create an interactive dashboard using R: the example of the Queensland COVID-19 tracker." Australian Population Studies 4, no. 2 (November 14, 2020): 39–47. http://dx.doi.org/10.37970/aps.v4i2.72.

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Background Interactive tools like data dashboards enable users both to view and interact with data. In today’s data-driven environment it is a priority for researchers and practitioners alike to be able to develop interactive data visualisation tools easily and where possible at a low cost. Aims Here, we provide a guide on how to develop and create an interactive online data dashboard in R, using the COVID-19 tracker for Health and Hospital Regions in Queensland, Australia as an example. We detail a series of steps and explain choices made to design, develop, and easily maintain the dashboard and publish it online. Data and methods The dashboard visualises publicly available data from the Queensland Health web page. We used the programming language R and its free software environment. The dashboard webpage is hosted publicly on GitHub Pages updated via GitHub Desktop. Results Our interactive dashboard is available at https://qcpr.github.io/. Conclusions Interactive dashboards have many applications such as dissemination of research and other data. This guide and the supplementary material can be adjusted to develop a new dashboard for a different set of data and needs.
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Dalgleish, James LT, Yonghong Wang, Jack Zhu, and Paul S. Meltzer. "CNVScope: Visually Exploring Copy Number Aberrations in Cancer Genomes." Cancer Informatics 18 (January 2019): 117693511989029. http://dx.doi.org/10.1177/1176935119890290.

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Motivation: DNA copy number (CN) data are a fast-growing source of information used in basic and translational cancer research. Most CN segmentation data are presented without regard to the relationship between chromosomal regions. We offer both a toolkit to help scientists without programming experience visually explore the CN interactome and a package that constructs CN interactomes from publicly available data sets. Results: The CNVScope visualization, based on a publicly available neuroblastoma CN data set, clearly displays a distinct CN interaction in the region of the MYCN, a canonical frequent amplicon target in this cancer. Exploration of the data rapidly identified cis and trans events, including a strong anticorrelation between 11q loss and17q gain with the region of 11q loss bounded by the cell cycle regulator CCND1. Availability: The shiny application is readily available for use at http://cnvscope.nci.nih.gov/ , and the package can be downloaded from CRAN ( https://cran.r-project.org/package=CNVScope ), where help pages and vignettes are located. A newer version is available on the GitHub site ( https://github.com/jamesdalg/CNVScope/ ), which features an animated tutorial. The CNVScope package can be locally installed using instructions on the GitHub site for Windows and Macintosh systems. This CN analysis package also runs on a linux high-performance computing cluster, with options for multinode and multiprocessor analysis of CN variant data. The shiny application can be started using a single command (which will automatically install the public data package).
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Benahmed Daho, A. "CRYPTO-SPATIAL: AN OPEN STANDARDS SMART CONTRACTS LIBRARY FOR BUILDING GEOSPATIALLY ENABLED DECENTRALIZED APPLICATIONS ON THE ETHEREUM BLOCKCHAIN." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2020 (August 25, 2020): 421–26. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2020-421-2020.

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Abstract. Blockchain is an emerging immature technology that disrupt many well established industries nowadays, like finance, supply chain, transportation, energy, official registries (identity, vehicles, …). In this contribution we present a smart contracts library, named Crypto-Spatial, written for the Ethereum Blockchain and designed to serve as a framework for geospatially enabled decentralized applications (dApps) development. The main goal of this work is to investigate the suitability of Blockchain technology for the storage, retrieval and processing of vector geospatial data. The design and the proof-of-concept implementation presented are both based on the Open Geospatial Consortium standards: Simple Feature Access, Discrete Global Grid Systems (DGGS) and Well Known Binary (WKB). Also, the FOAM protocol concept of Crypto-Spatial Coordinate (CSC) was used to uniquely identify spatial features on the Blockchain immutable ledger. The design of the Crypto-Spatial framework was implemented as a set of smart contracts using the Solidity object oriented programming language. The implemented library was assessed toward Etheruem’s best practices design patterns and known security issues (common attacks). Also, a generic architecture for geospatially enabled decentralized applications, combining blockchain and IPFS technologies, was proposed. Finally, a proof-of-concept was developed using the proposed approach which main purpose is to port the UN/FAO-SOLA to Blockchain techspace allowing more transparency and simplifying access to users communities. The smart contracts of this prototype are live on the Rinkeby testnet and the frontend is hosted on Github pages. The source code of the work presented here is available on Github under Apache 2.0 license.
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Mungall, Christopher J., and Ian H. Holmes. "WTFgenes: What's The Function of these genes? Static sites for model-based gene set analysis." F1000Research 6 (April 4, 2017): 423. http://dx.doi.org/10.12688/f1000research.11175.1.

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A common technique for interpreting experimentally-identified lists of genes is to look for enrichment of genes associated with particular ontology terms. The most common test uses the hypergeometric distribution; more recently, a model-based test was proposed. These approaches must typically be run using downloaded software, or on a server. We develop a collapsed likelihood for model-based gene set analysis and present WTFgenes, an implementation of both hypergeometric and model-based approaches, that can be published as a static site with computation run in JavaScript on the user's web browser client. Apart from hosting files, zero server resources are required: the site can (for example) be served directly from Amazon S3 or GitHub Pages. A C++11 implementation yielding identical results runs roughly twice as fast as the JavaScript version. WTFgenes is available from https://github.com/evoldoers/wtfgenes under the BSD3 license. A demonstration for the Gene Ontology is usable at https://evoldoers.github.io/wtfgo.
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Braun, Bremen L., David A. Schott, John L. Portwood, Carson M. Andorf, and Taner Z. Sen. "PedigreeNet: a web-based pedigree viewer for biological databases." Bioinformatics 35, no. 20 (March 23, 2019): 4184–86. http://dx.doi.org/10.1093/bioinformatics/btz208.

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Abstract Motivation Plant breeding aims to improve current germplasm that can tolerate a wide range of biotic and abiotic stresses. To accomplish this goal, breeders rely on developing a deeper understanding of genetic makeup and relationships between plant varieties to make informed plant selections. Although rapid advances in genotyping technology generated a large amount of data for breeders, tools that facilitate pedigree analysis and visualization are scant, leaving breeders to use classical, but inherently limited, hierarchical pedigree diagrams for a handful of plant varieties. To answer this need, we developed a simple web-based tool that can be easily implemented at biological databases, called PedigreeNet, to create and visualize customizable pedigree relationships in a network context, displaying pre- and user-uploaded data. Results As a proof-of-concept, we implemented PedigreeNet at the maize model organism database, MaizeGDB. The PedigreeNet viewer at MaizeGDB has a dynamically-generated pedigree network of 4706 maize lines and 5487 relationships that are currently available as both a stand-alone web-based tool and integrated directly on the MaizeGDB Stock Pages. The tool allows the user to apply a number of filters, select or upload their own breeding relationships, center a pedigree network on a plant variety, identify the common ancestor between two varieties, and display the shortest path(s) between two varieties on the pedigree network. The PedigreeNet code layer is written as a JavaScript wrapper around Cytoscape Web. PedigreeNet fills a great need for breeders to have access to an online tool to represent and visually customize pedigree relationships. Availability and implementation PedigreeNet is accessible at https://www.maizegdb.org/breeders_toolbox. The open source code is publically and freely available at GitHub: https://github.com/Maize-Genetics-and-Genomics-Database/PedigreeNet. Supplementary information Supplementary data are available at Bioinformatics online.
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Visconti, Amanda. "Creación de sitios estáticos con Jekyll y GitHub Pages." Programming Historian en español, no. 5 (March 1, 2021). http://dx.doi.org/10.46430/phes0050.

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Esta lección te ayudará a crear un sitio web seguro completamente gratuito, fácil de mantener y sobre el que tendrás control total, como un blog académico, un sitio web de proyectos o un portafolio en línea.
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Visconti, Amanda. "Building a static website with Jekyll and GitHub Pages." Programming Historian, no. 5 (April 18, 2016). http://dx.doi.org/10.46430/phen0048.

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This lesson will help you create entirely free, easy-to-maintain, preservation-friendly, secure website over which you have full control, such as a scholarly blog, project website, or online portfolio.
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Patel, Vraj Vishnubhai, Dr Priyanka Sharma, and Jatin Patel. "Subdomain Takeover : A Challenge as Web App Vulnerability or Server-Side Vulnerability." International Journal of Scientific Research in Science, Engineering and Technology, May 8, 2021, 58–64. http://dx.doi.org/10.32628/ijsrset21837.

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A subdomain is a domain that is a part of another domain. Subdomains are used to organize and navigate to various parts of your website. For example, your primary domain could be “xyz.com,” while your blog could be on a subdomain at “blog.xyz.com.” A subdomain takeover occurs when an attacker gains control over a subdomain of a target domain. Sub-domain takeover vulnerability occurs When a subdomain (subdomain.example.com) that refers to a service (eg GitHub, AWS / S3, ..) is deleted or deleted In this way, the attacker can create pages on the service in use and forward the pages to this subdomain.. If any person wants to take over, a subdomain then the person seeks to manually check one by one subdomain that takes too much time. Moreover, are there some tools available to check the subdomain takeover is possible or not? However, these tools take input as a text file, which has a particular subdomain. This means finding a subdomain with the other tools and then using one of these tools to identify subdomain takeover vulnerability. In my tools, we find the subdomain of a particular domain, then check the CNAME is available for a list of subdomains and if CNAME finds for a specific subdomain, then check the status code of the CNAME if it returns 404-status code. We might say that a particular subdomain is possible to takeover.
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Dissertations / Theses on the topic "GitHub Pages"

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Zembjaková, Martina. "Prieskum a taxonómia sieťových forenzných nástrojov." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445488.

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Táto diplomová práca sa zaoberá prieskumom a taxonómiou sieťových forenzných nástrojov. Popisuje základné informácie o sieťovej forenznej analýze, vrátane procesných modelov, techník a zdrojov dát používaných pri forenznej analýze. Ďalej práca obsahuje prieskum existujúcich taxonómií sieťových forenzných nástrojov vrátane ich porovnania, na ktorý naväzuje prieskum sieťových forenzných nástrojov. Diskutované sieťové nástroje obsahujú okrem nástrojov spomenutých v prieskume taxonómií aj niektoré ďalšie sieťové nástroje. Následne sú v práci detailne popísané a porovnané datasety, ktoré sú podkladom pre analýzu jednotlivými sieťovými nástrojmi. Podľa získaných informácií z vykonaných prieskumov sú navrhnuté časté prípady použitia a nástroje sú demonštrované v rámci popisu jednotlivých prípadov použitia. Na demonštrovanie nástrojov sú okrem verejne dostupných datasetov použité aj novo vytvorené datasety, ktoré sú detailne popísane vo vlastnej kapitole. Na základe získaných informácií je navrhnutá nová taxonómia, ktorá je založená na prípadoch použitia nástrojov na rozdiel od ostatných taxonómií založených na NFAT a NSM nástrojoch, uživateľskom rozhraní, zachytávaní dát, analýze, či type forenznej analýzy.
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Alessandrini, Aduer. "'il 730 online' di CAF ACLI e l'introduzione di una cultura DevOps." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/17699/.

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In questo presente sempre più servizi che caratterizzano il nostro quotidiano (trasporti, utenze, commercio eccetera) stanno avendo una progressiva sostituzione della componente di interazione personale, in favore di una maggiore integrazione con la rete. Basti pensare a come grazie ad una connessione Internet, sia possibile monitorare in tempo reale il ritardo di un treno, o ordinare e ricevere a domicilio un piatto cucinato espressamente o vedere la sbarra del casello autostradale alzarsi perché il sistema ha riconosciuto la targa inserita poco prima tramite l'apposita app. In contesti come questi, in cui un processo che avviene nella realtà, viene monitorato e coordinato dall'utente finale remoto, sul software grava una grande responsabilità. Le software house per stare al passo con questa sfida, ed essere competitive sul mercato, devono produrre sistemi di qualità sempre maggiore, che sappiano dare soluzioni veramente utili agli utenti ed in tempi per loro accettabili. Questo può essere ottenuto adottando necessariamente metodiche di lavoro più sofisticate. L'approccio DevOps in particolare mira ad ottimizzare i processi aziendali che intercorrono tra le varie fasi dello sviluppo di un software, sostituendo le attività manuali con procedure automatizzate capaci di aumentare la velocità, il livello di garanzia e la riproducibilità delle medesime. Il lavoro presentato in questa tesi tratta di come questa metodologia sia stata introdotta nell'occasione dello sviluppo di un sistema di scambio di documenti fiscali commissionato dall'ente di scala nazionale CAF ACLI. L'obiettivo era quello di realizzare un servizio che desse la possibilità di operare senza recarsi presso uno sportello ma garantendo lo stesso livello di assistenza e garanzia del risultato che solo un esperto fiscale può dare. La metodica elaborata ha permesso di raggiungere un'alta qualità del prodotto e rapidità nei rilasci per essere reattivi alle richieste del cliente ed alle segnalazioni di bug.
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Book chapters on the topic "GitHub Pages"

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Baruah, Rakesh. "Deploying 3D Animated Models in AR with A-Frame and GitHub Pages." In AR and VR Using the WebXR API, 303–17. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6318-1_10.

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Journal articles
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