Computational Genomics and Molecular Biology, Fall 2011 1Literature assignment 1: Hawkins RD, Hon GC, Ren B. Next-generation genomics: anintegrative approach. Nat. Rev. Genet. 2010;11:47686.Due September 27thAs experimental techniques advance and experimental data sizes increase dramatically, it ispossible to integrate different types of genomic data to answer biological questions.This article givesexamples of what data integration can achieve and describes s everal methods of data integration.Because functional genomic data sets tend to be extremely large, the authors also describe methodsto deal with data complexity. This article provides a foundation for further understanding ofbioinformatic data analysis.Read this article and briefly answer the following questions. You may read additional materialsif you wish. If you do, you must cite your sources. Please turn in your assignment in classor in person to Annette McLeod in MI 646 or electronically to [email protected] 5pm on the due date.1. Briefly explain the four types of data that are currently available using high-throughput tech-nologies. For each type, describe in one or two sentences what the data is used for and whatmethod or technique can be used to obtain the data?2. “Integrative analysis” is used to answer some fundamental questions regarding the mech-anisms of genome function and disease . Describe the three types of integrative analysis(purpose, method), and give an example of how each analysis technique is used. Your answershould be based on information in the article, not from an online search.Computational Genomics and Molecular Biology, Fall 2011 23. When doing integrative analysis, repeating experiments and incorporating other types of datacan greatly increase the data complexity.(i) Based on the article, give a brief description of data complexity reduction and an exampleof how it is used in ChIP-seq.(ii) Unsupervised integration and supervised integration: What are the general steps forunsupervised integration? What is the difference between unsupervised and
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