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Nina Riddell

Friday, 12 August 2016. Validating RNA-seq results using previously published data. Large-scale omics studies usually require some form of validation following the initial analysis. For RNA-seq or microarray studies, this validation frequently takes the form of qPCR. However, qPCR isn't always possible and, as pointed out here. Is not without limitations. If you’re interested, check out the paper by Suarez-Farinas et al. 2010) and our recently published RNA-seq study. Thursday, 4 August 2016. I recently ...

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Friday, 12 August 2016. Validating RNA-seq results using previously published data. Large-scale omics studies usually require some form of validation following the initial analysis. For RNA-seq or microarray studies, this validation frequently takes the form of qPCR. However, qPCR isn't always possible and, as pointed out here. Is not without limitations. If you’re interested, check out the paper by Suarez-Farinas et al. 2010) and our recently published RNA-seq study. Thursday, 4 August 2016. I recently ...
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Nina Riddell | ninariddell.blogspot.com Reviews

https://ninariddell.blogspot.com

Friday, 12 August 2016. Validating RNA-seq results using previously published data. Large-scale omics studies usually require some form of validation following the initial analysis. For RNA-seq or microarray studies, this validation frequently takes the form of qPCR. However, qPCR isn't always possible and, as pointed out here. Is not without limitations. If you’re interested, check out the paper by Suarez-Farinas et al. 2010) and our recently published RNA-seq study. Thursday, 4 August 2016. I recently ...

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1

Nina Riddell: Plotting multi-set intersections

http://ninariddell.blogspot.com/2016/08/visualizing-list-intersections.html

Thursday, 4 August 2016. Most of my research uses the chick model of refractive error, but at the moment I’m working to characterize the overlap in transcriptome and proteomics findings across the range of model species used in my field. The GeneOverlap R package. Has been a great tool for testing the overlap between my gene lists, however, I recently came across the SuperExactTest R package. That provides some additional neat options for testing and visualizing multi-set intersections.

2

Nina Riddell: May 2016

http://ninariddell.blogspot.com/2016_05_01_archive.html

Tuesday, 10 May 2016. In defiance of the 'rainy city' monkier, Seattle turned on the sunshine for ARVO 2016. It was a hectic 5 days packed with some great talks, many posters, and a few blissful quiet moments soaking up some rays in the park outside of the conference center. A high res version of my poster is available on ResearchGate. Subscribe to: Posts (Atom). I’m a PhD candidate at La Trobe University. Awesome Inc. theme. Powered by Blogger.

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Nina Riddell: Validating RNA-seq results using previously published data

http://ninariddell.blogspot.com/2016/08/validating-rna-seq-results-using.html

Friday, 12 August 2016. Validating RNA-seq results using previously published data. Large-scale omics studies usually require some form of validation following the initial analysis. For RNA-seq or microarray studies, this validation frequently takes the form of qPCR. However, qPCR isn't always possible and, as pointed out here. Is not without limitations. If you’re interested, check out the paper by Suarez-Farinas et al. 2010) and our recently published RNA-seq study. Subscribe to: Post Comments (Atom).

4

Nina Riddell: September 2015

http://ninariddell.blogspot.com/2015_09_01_archive.html

Wednesday, 30 September 2015. 15th International Myopia Conference. I recently got back from the 15. International Myopia Conference in Wenzhou, China. Dr. Jia Qu. Did a great job organising speakers (and some interesting local food- I got my first taste of cuttlefish)! I particularly liked the ON-OFF visual pathways session where Machelle Pardue. And colleagues discussed their knockout models. The poster sessions were also great- so many proteome and transcriptome studies! For a hi-res version).

5

Nina Riddell: June 2016

http://ninariddell.blogspot.com/2016_06_01_archive.html

Thursday, 2 June 2016. GOPlot package for visualizing functional omics data. I recently stumbled upon the GOPlot R package. Developed Walter Wencke and colleagues. The package provides some great tools for visualizing omics data. My favourite is the chord diagram, which captures the complex relationship between differential gene expression (shown on the left) and enriched functional categories (shown on the right)- here’s one I made for my ARVO conference poster. Subscribe to: Posts (Atom).

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Friday, 12 August 2016. Validating RNA-seq results using previously published data. Large-scale omics studies usually require some form of validation following the initial analysis. For RNA-seq or microarray studies, this validation frequently takes the form of qPCR. However, qPCR isn't always possible and, as pointed out here. Is not without limitations. If you’re interested, check out the paper by Suarez-Farinas et al. 2010) and our recently published RNA-seq study. Thursday, 4 August 2016. I recently ...

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