A compressed sensing framework for identifying differentially expressed isoforms and transcriptomic aberrations in cancer samples

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Outcome

Status

Past

Competition

None

Genome Centre(s)

GE3LS

No

Project Leader(s)

Cenk Sahinalp

Fiscal Year Project Launched

2013-2014

Project Description

New technology provides fast and accurate ways to analyze RNAs (which act as messengers carrying instructions from DNA) that code protein in a tissue. While there are many potential RNA products in a gene, it is believed that it is only necessary to identify and quantify a small number of RNA products in order to get information about a sample’s RNA content.

Drs. Cenk Sahinalp and Colin Collins are using a computing technique called compressed sensing to find the smallest possible number of RNA products from each gene. Their approach will also help pinpoint the essential differences between samples of RNA products from the same gene. Sahinalp and Collins will also use compressed sensing to identify tissues from prostate cancer patients that develop into more aggressive forms of the disease.

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