Computing for Cancer Informatics

所在平台: Coursera

课程主页: https://www.coursera.org/learn/computing-for-cancer-informatics

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课程简介

课程名称:癌症信息学计算基础 课程概述:在癌症信息学领域,处理和管理来自多个来源的大量数据是一个关键挑战,这些数据通常过于庞大,无法在普通个人计算机上处理。本课程旨在帮助研究人员和调查人员理解计算的基础知识,并熟悉各种计算选项,以最终帮助他们在相关话题上做出决策。课程的目标是为研究领导者提供关于以下内容的认识和指导: - 基本计算术语 - 计算机及计算系统的工作原理 - 共享计算资源之间的差异 - 共享计算资源的适当使用礼仪 - 针对癌症研究的计算资源 - 计算资源决策时的考虑因素 目标受众:本课程面向对信息学研究有有限到中等经验的研究人员(包括博士后和学生)。概念材料对于采集数据和使用信息学管道的管理角色也将非常有用。 课程大纲: - 第一部分:计算机的基本构建块 该模块将描述计算机工作的基本知识,熟悉这些信息将有助于您在工作中做出计算决策。 - 第二部分:从二进制数据到计算 该模块将讨论计算机如何存储和处理数据,这将有助于理解您工作中的计算和存储要求。 - 第三部分:共享计算礼仪 该模块将描述使用传统共享计算资源(如计算集群)的常见良好实践。这些指南将帮助确保您不会以打扰他人的方式使用共享资源,从而让您可以继续使用这些资源。 - 第四部分:数据管理决策 在最后一个模块中,我们将提供有关如何决定哪种计算资源对您的工作最有利的指导。 该课程是癌症研究信息学技术(ITCR)课程系列的一部分,属于癌症研究教育资源。课程由ITCR培训网络(ITN)创建,这是一个由美国研究人员联合组成的协作努力,旨在通过资源、技术和活动支持癌症信息学和数据科学培训。该倡议由国家癌症研究所(NCI)资助,具体项目编号为UE5 CA254170。我们的课程展示了由ITCR研究人员开发的工具,使首席研究人员、科学家和分析师更容易将癌症信息学融入他们的工作流程中。有关更多信息,请访问我们的网站 www.itcrtraining.org。

课程大纲

Part: 1

Title:Basic Building Block of Computers

Description:In this module we will start by describing some basics about how computers work. We feel that familiarity with this information will be helpful for you when you need to make computing decisions for your work.

Part: 2

Title:Binary data to computations

Description:In this module we will talk about how computers store and process data. This will be helpful for understanding computing and storage requirements for your work.

Part: 3

Title: Shared Computing Etiquette

Description:In this module we will describe some common good practices for using traditional shared computing resources like clusters. These guidelines will help ensure that you don't use shared resources in a way that might bother others, so that you can continue to have access to such shared resources.

Part: 4

Title:Data Management Decisions

Description:In this final module we will provide guidance about how to decide what computing resources would be most beneficial for your work.

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课程详情

One of the key cancer informatics challenges is dealing with and managing the explosion of large data from multiple sources that are often too large to work with on typical personal computers. This course is designed to help researchers and investigators to understand the basics of computing and to familiarize them with various computing options to ultimately help guide their decisions on the topic. This course aims to provide research leaders with awareness and guidance about: Basic computing terminology Concepts about how computers and computing systems work Differences between shared computing resources Appropriate etiquette for shared computing resources Computing resources designed for cancer research Considerations for computing resource decisions Target audience: This course is intended for researchers (including postdocs and students) with limited to intermediate experience with informatics research. The conceptual material will also be useful for those in management roles who are collecting data and using informatics pipelines. Curriculum: We will provide you with familiarity with fundamental computing terms. We will also discuss relevant concepts about how computers and shared computing resources work. We will explore the differences between various computing resource options, as well as provide guidance on how to make important computing discussions. This course is part of a series of courses for the Informatics Technology for Cancer Research (ITCR) called the Informatics Technology for Cancer Research Education Resource. This material was created by the ITCR Training Network (ITN) which is a collaborative effort of researchers around the United States to support cancer informatics and data science training through resources, technology, and events. This initiative is funded by the following grant: National Cancer Institute (NCI) UE5 CA254170. Our courses feature tools developed by ITCR Investigators and make it easier for principal investigators, scientists, and analysts to integrate cancer informatics into their workflows. Please see our website at www.itcrtraining.org for more information.

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