# EGene > software **Wikidata**: [Q113308636](https://www.wikidata.org/wiki/Q113308636) **Source**: https://4ort.xyz/entity/egene ## Summary EGene is an automated pipeline generation system designed for sequence analysis. It is a software application maintained by Alan Mitchell Durham and Arthur Gruber, described by the academic source "Egene: A Configurable Pipeline Generation System For Automated Sequence Analysis." The system is accessible via its official website and is built using the programming language identified as Q42478. ## Key Facts * **Full Name:** EGene - Automated Pipeline Generation System * **Classification:** Instance of a software application. * **Primary Function:** Automated sequence analysis pipeline generation. * **Maintainers:** Alan Mitchell Durham and Arthur Gruber. * **Source Document:** "Egene: A Configurable Pipeline Generation System For Automated Sequence Analysis". * **Website:** http://www.lbm.fmvz.usp.br/egene/ (English language). * **Programming Language:** Q42478. * **Software Category:** Application (subclass of software). ## FAQs ### Q: What is the primary purpose of EGene? A: EGene serves as a configurable pipeline generation system specifically developed for automating sequence analysis. It allows users to generate pipelines for processing biological sequence data. ### Q: Who is responsible for the maintenance of EGene? A: The software is jointly maintained by Alan Mitchell Durham and Arthur Gruber. Contact information and references are available via the bioinfovir.icb.usp.br domain. ### Q: What type of software is EGene? A: EGene is classified as a software application, meaning it is a program designed for end-users to perform specific tasks—in this case, bioinformatics analysis—distinct from system management software. ### Q: Where can EGene be accessed? A: The software and its documentation are hosted at http://www.lbm.fmvz.usp.br/egene/. ## Why It Matters EGene addresses the complex need for automation in bioinformatics by providing a system that generates analysis pipelines. In the field of sequence analysis, researchers often face repetitive, multi-step computational tasks; EGene matters because it configures and automates these workflows, reducing manual effort and potential for error. By bridging the gap between raw sequence data and analytical results, it empowers researchers to focus on biological interpretation rather than computational mechanics. Its existence as a dedicated application highlights the role of specialized software in advancing scientific discovery and data processing efficiency. ## Notable For * **Automated Pipeline Generation:** Distinguished by its capability to automatically generate configurable pipelines for sequence analysis. * **Specialized Domain:** Specifically tailored for bioinformatics and sequence analysis tasks, unlike general-purpose productivity software. * **Academic Foundation:** Defined and described by a specific academic publication, indicating its basis in research methodology. * **Dual Maintenance:** Uniquely maintained by two specific individuals, Alan Mitchell Durham and Arthur Gruber, ensuring dedicated oversight. ## Body ### Overview and Functionality EGene is a specialized software application recognized formally as the "EGene - Automated Pipeline Generation System." Its core utility lies in the automated generation of pipelines for sequence analysis. As an application, it functions as a tool for end-users to execute specific computing tasks without needing to manage the underlying system operations. The software is associated with the programming language identifier Q42478 and is accessible to the research community via its dedicated web portal. ### Development and Maintenance The project is actively maintained by two primary figures: **Alan Mitchell Durham** and **Arthur Gruber**. References to the project's contact details point to the Bioinfovir project at ICB USP (Institute of Biomedical Sciences, University of São Paulo), suggesting its academic and research origins. The system's validity and structure are further supported by its citation in the publication "Egene: A Configurable Pipeline Generation System For Automated Sequence Analysis." ### Classification as an Application EGene is strictly classified as an **application** (software application or app). In the context of software taxonomy, this means EGene is a program or group of programs designed for end-users to perform specific tasks. **Defining Characteristics of its Class:** * **Nature:** It is a subclass of software distinct from system software (which manages computer operations). * **Components:** As an application, EGene consists of one or more computer programs. * **Security:** A key characteristic associated with this class is application security, ensuring protection against vulnerabilities. * **Synonyms:** The class of software EGene belongs to is also known as "application software," "application program," or "computer application." ### Contextual Identifiers and Taxonomy While EGene possesses its own specific identifiers (such as its website URL), it falls under the broad category of "Application software." This category holds various global identifiers and classifications in knowledge bases, which contextualize the environment EGene operates within. These include: * **Dewey Decimal Classification:** 005.3 (assigned to the class of applications). * **Standard Identifiers:** The class is equivalent to `https://schema.org/SoftwareApplication`. * **Knowledge Base IDs:** Related class identifiers include Wikidata Property P6823, GND ID 4120906-0, and UNESCO Thesaurus ID concept520. ### Related Software Ecosystem As a software application, EGene shares its classification with a wide variety of other tools designed for end-users. While EGene focuses on bioinformatics, the "application" category includes diverse software such as: * **Productivity & Graphics:** Gimp, Aoo Calc, Thunderbird, Firefox. * **Utilities:** FinePrint (print previewer), Camtasia (screen recording), Caffeine (power-saving control). * **Specialized Tools:** COMSOL Multiphysics, Piskel (pixel art), and specific console applications like Vim. This ecosystem illustrates that EGene is part of the fundamental layer of computing technology that translates complex capabilities into user-accessible tools. ## References 1. [Source](http://bioinfovir.icb.usp.br/egene/contacts.html)