Event Title

DNA Microarrays: Getting Meaning Out of a Huge Amount of Data

Description

Microarray analysis involves imaging fluorescent sample RNA annealed to a microarray chip the size of a thumbnail, yielding tens of millions of pixels. A single experiment uses five to dozens of chips, amplifying the volume of data. Getting meaningful conclusions from such a mass of data is a difficult problem, and multiple efforts have resulted in variations on algorithms to analyze this raw data from each chip. Other layers of analysis then are utilized to gain meaning from the sum of the data from multiple chips. This talk will include a discussion on how a chip is used to measure quantities of RNA present in a sample, and how the data gathered from multiple chips can be integrated to find interesting information from such an immense amount of data.

Presenter Bio

Grady Campbell has a Ph.D. and is an Assistant Professor at Nova Southeastern University

Date of Event

February 16, 2011 12 - 1:00 PM

Location

Mailman-Hollywood Building, Room 310, 3301 College Ave., Fort Lauderdale (main campus)

NSU News Release Link

http://nsunews.nova.edu/decipher-dna-find-mathematics-colloquium-series-talk/

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Feb 16th, 12:00 PM Feb 16th, 1:00 PM

DNA Microarrays: Getting Meaning Out of a Huge Amount of Data

Mailman-Hollywood Building, Room 310, 3301 College Ave., Fort Lauderdale (main campus)

Microarray analysis involves imaging fluorescent sample RNA annealed to a microarray chip the size of a thumbnail, yielding tens of millions of pixels. A single experiment uses five to dozens of chips, amplifying the volume of data. Getting meaningful conclusions from such a mass of data is a difficult problem, and multiple efforts have resulted in variations on algorithms to analyze this raw data from each chip. Other layers of analysis then are utilized to gain meaning from the sum of the data from multiple chips. This talk will include a discussion on how a chip is used to measure quantities of RNA present in a sample, and how the data gathered from multiple chips can be integrated to find interesting information from such an immense amount of data.

https://nsuworks.nova.edu/mathematics_colloquium/ay_2010-2011/events/6