Software Development to Enhance Echinobase

技术开发概要 增强Echinobase的软件开发 技术开发组件描述Echinobase的软件开发。其中包括 数据库、网络应用程序、用户和管理员界面。新的数据类型和新的策展工作需要 建立新的系统、工具和软件接口。重要的是，接口必须设计成允许我们的 社区成员通过我们的门户网站浏览和查询数据。我们最近增加了许多新的 内容类型和特点，以海胆，包括多物种的支持，基因，文献和社区 页面;还有许多其他类型的内容需要技术开发的支持 团队，包括GEO管道，单细胞组学，直向同源GO术语，整合paradox基因数据的工具 和更多.由于许多生成和访问这些数据的生物学家不是生物信息学家，我们需要 开发直观易用的工具和界面。这是一个很好的例子，说明我们计划如何 实现这一目标的是我们将在Echinobase中实现的Xenbase GEO模块，它允许非专家 通过简单、直观和交互式的Web界面查看、交互和理解RNA-seq数据。 在接下来的五年里，我们将为我们旨在支持的每种新类型的数据采取许多步骤： 评估数据需求、数据建模、中间件软件开发、测试和优化 试用版，开发管理员、用户和数据浏览界面。项目的优先次序是在 通过年度调查和会议研讨会与棘皮动物研究界协商， 从我们的科学顾问委员会和合作者，并在未来，在与联盟的协商， 基因组资源（AGR）工作组和其他外部资源，如NCBI和UCSC。计划 新的项目包括来自GEO的ATAC-seq数据，来自DIOPT的paramount数据，单细胞RNA-seq，支持 全基因组CRE预测和计算的表达表型。技术开发也将 支持我们将机器学习应用于Echinobase文献和内容策展。 目标1。支持扩展和新颖的内容。 目标二。生成自定义内容并支持变量和单单元格数据集。 目标3。与外部资源的接口。

SUMMARY TECHNICAL DEVELOPMENT Software Development to Enhance Echinobase The Technical Development component describes software development for Echinobase. This includes code in the database, web applications, user and curator interfaces. New data types and new curation efforts require new systems, tools and software interfaces to be built. Importantly, interfaces must be designed to allow our community members to browse and interrogate the data via our web portal. We have recently added many new content types and features to Echinobase, including multi-species support, Gene, Literature and Community pages; and there are many additional types of content that will require support from the technical development team, including the GEO pipeline, single-cell omics, ortholog GO terms, tools to integrate paralog gene data and more. As many of the biologists generating and accessing these data are not bioinformaticians, we need to develop tools and interfaces that are intuitive and easy to use. An excellent example of how we plan to achieve this goal is the Xenbase GEO module that we will implement in Echinobase, that allows non-experts to view, interact with, and understand RNA-seq data through a simple, intuitive and interactive web interface. Over the next five years, we will proceed through numerous steps for each new type of data we aim to support: assessing data requirements, data modeling, middleware software development, testing and optimization of trial releases, developing curator, user and data browsing interfaces. Prioritization of projects is done in consultation with the echinoderm research community via annual surveys and workshops at conferences, input from our scientific advisory board and collaborators, and, in the future, in consultation with the Alliance of Genome Resources (AGR) workgroups and other external resources such as the NCBI and UCSC. Planned new projects include ATAC-seq data from GEO, paralog data from DIOPT, single-cell RNA-seq, support for genome wide CRE predictions, and computed expression phenotypes. Technical Development will also support our increased use of machine learning as applied to Echinobase literature and content curation. Aim 1. Support expanded and novel content. Aim 2. Generate custom content and support variants and single-cell datasets. Aim 3. Interface with external resources.