BI203 dChip for Gene Expression and SNP Microarray Data Analysis

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==Objective==
==Objective==
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This course will teach the workings of Dchip, for doing Gene Expression and SNP Genotyping analysis. We will cover topics such as importing arrays, performing normalization, model based expression calculations, gene and snp filtering, clustering, linkage and LOH analysis, and much more.
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This course will teach the workings of [http://biosun1.harvard.edu/complab/dchip/ Dchip], for doing Gene Expression and SNP Genotyping analysis. We will cover topics such as importing arrays, performing normalization, model based expression calculations, gene and SNP filtering, clustering, linkage and LOH analysis, and much more.
==Course outline==
==Course outline==
* Session 1: Preparing to import CEL files for gene expression analysis, with basic actions such as normalization and model-based expression index calculations. Re-importing saved "DCP" files and importing expression indices from saved text files
* Session 1: Preparing to import CEL files for gene expression analysis, with basic actions such as normalization and model-based expression index calculations. Re-importing saved "DCP" files and importing expression indices from saved text files
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* Session 2: Gene expression case studies with two groups, gene filtering, group comparison, clustering.
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* Session 2: Gene expression case studies with two groups, gene filtering, group comparison, clustering
* Session 3: Same as session 1, except with SNP genotyping data
* Session 3: Same as session 1, except with SNP genotyping data
* Session 4: LOH and copy number analysis with sample data
* Session 4: LOH and copy number analysis with sample data
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* Session 5: Advanced case studies in gene expression analysis, with Cheng Li.
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* Session 5: Advanced case studies in gene expression analysis, with Cheng Li
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* Session 6: Advanced case studies in gene expression analysis, with Cheng Li.
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* Session 6: Advanced case studies in gene expression analysis, with Cheng Li
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* Session 7: Advanced case studies in snp genotyping analysis, with Cheng Li.
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* Session 7: Advanced case studies in snp genotyping analysis, with Cheng Li
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* Session 8: Advanced case studies in snp genotyping analysis, with Cheng Li.
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* Session 8: Advanced case studies in snp genotyping analysis, with Cheng Li
==Course schedule==
==Course schedule==

Revision as of 20:22, 8 April 2008

Contents

Objective

This course will teach the workings of Dchip, for doing Gene Expression and SNP Genotyping analysis. We will cover topics such as importing arrays, performing normalization, model based expression calculations, gene and SNP filtering, clustering, linkage and LOH analysis, and much more.

Course outline

Course schedule

Registration

Registration comprises of two steps. First, create an online account to access the educational section of our website. Second, register for this course by making a payment using either the online registration form (click on the scheduled course above; use this form only for credit card payments via secured PayPal), or by sending in the Mail-in registration form (~150 kB PDF, use this form if paying by US checks, credit card or corporate purchase order). Please check the tuition rates and discounts below.

Registration deadline: When full

Tuition and Discounts

The fee for this course is $895 USD (Commercial, Government)

Discounted rates are available, as follows:

Logistics

Online courses are offered via an online meeting system. Access information will be provided prior to the start of the course. Each lecture will last 45 to 90 minutes, depending on the topics covered. For those who cannot attend the lectures at those times, the lectures will be recorded and placed on the course website as Flash videos (resolution reduced by 30%) each day, within one day. Students will also be able to communicate with the instructor and other students via the course forums. Lecture attendance is therefore not required.

Since this will be an interactive, hands-on workshop, all attendees will need a computer with a broadband Internet connection (1 Mbps or faster is strongly recommended for those watching the live lecture), a sound card with speakers, a modern Web browser, and the Adobe Flash plugin. A microphone and webcam is not required for this course. The necessary software, lecture notes and exercises will be provided.

Additional information

If you have any questions, please send a message to J.W. Bizzaro (login required) or call +1 978 562 4800.

See also

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