生物信息学的 Silverlight 演示
我是一名初级Silverlight程序员，准备参加医学研究公司的面试。工作听起来非常有趣，我想去那里。 为了展示我的技能和兴趣，我想编写一个与该主题相关的程序。 你有什么建议？
第一个想法：输入数据的简单统计分析、图像收集（例如，找到 HD DNA 图像并将其放入 Silverlight Deep Zoom）、实验室库存计划。
I am a beginner Silverlight programmer preparing for the interview in medical research company. Job sounds damn interesting and I would like to get there.
To show my skills and interest, I want to write a program related to the topic.
What would you suggest?
First ideas: simple statistical analysis of input data, image collections (for example, find HD DNA image and put it in Silverlight Deep Zoom), lab inventory program..
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看看 http://research.microsoft.com/en-us /projects/bio/default.aspx 微软生物学基金会，微软研究院的一部分。它的代码是开源的（原文如此），您会在那里找到许多应用程序。这些应用程序涵盖了大部分基础知识、序列等，并且有一些不错的显示工具。
Have a look at http://research.microsoft.com/en-us/projects/bio/default.aspx the Microsoft Biology Foundation, part of Microsoft Research. Its code is OpenSource (sic) and you will find many applications there. The apps cover most of the basics, sequences, etc. and have some nice display tools.
数据的收集/维护/检索对于任何组织都非常重要。尝试本教程：
Silverlight 教程：使用 DataGrid、LINQ 和 WCF Web 创建以数据为中心的 Web 应用程序服务
Collection/Maintenance/Retrieval of data is very important for any organization. Try this tutorial:
Silverlight tutorial: Creating a data centric web app with DataGrid, LINQ, and WCF Web Service
您在问题上添加了“生物信息学”标签。许多生物信息学公司认为 Perl 编程非常重要。
我建议您搜索“bioinformatics Perl”并查看检索到的书籍和网站。也许你可以把自己停在当地的一家书店，仔细阅读其中的一些书籍。提供免费的 Perl 解释器。
您确实对遗传学有基本的了解，是吗？非常熟悉一些术语，这样您在从基因型/表型或 mRNA/RNA/DNA 中进行选择或回忆密码子是什么时就不必盯着太空了。
探索 PubMed 并基本了解基因组的内容不会有什么坏处那里以及可以对它们进行哪些统计测试。
我喜欢你的统计想法。也许您可以编写一个程序，根据从文件中读取的数字告诉您是否接受或拒绝原假设。或者也许您可以弄清楚如何在 PubMed 中使用 Entrez Gene 的统计部分。
祝面试顺利。
You placed a "bioinformatics" tag on your question. Many bioinformatics companies consider Perl programming to be quite important.
I suggest that you perform a search on "bioinformatics Perl" and take a look at books and sites that are retrieved. Perhaps you could park yourself at a local bookstore and peruse some of those titles. Free Perl interpreters are available.
You do have a basic understanding of genetics, yes? Be very familiar with some of the terminology, so you won't have to stare off into space while you pick from genotype/phenotype or mRNA/RNA/DNA or recall what a codon is.
It wouldn't hurt to nose around PubMed and get a basic understanding of what genomes are out there and what statistical tests can be performed on them.
I like your statistics idea. Perhaps you could write a program that tells you whether to accept or reject a null hypothesis based on numbers you read in from a file. Or perhaps you could figure out how to use the statistics portion of Entrez Gene in PubMed.
Best wishes for the interview.