<p>Devising strategies for quantifying false positive and false negative rates of sequence calls using RNA-Seq data and steps towards the analysis of RNA-Seq data from genetically complex mice backgrounds</p>

P Darakjian; D Bottomly; N Walter; K Buck; S McWeeney; R Hitzemann

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Darakjian P, Bottomly D, Walter N et al. Devising strategies for quantifying false positive and false negative rates of sequence calls using RNA-Seq data and steps towards the analysis of RNA-Seq data from genetically complex mice backgrounds. F1000Posters 2011, 2:1204 (poster)

Devising strategies for quantifying false positive and false negative rates of sequence calls using RNA-Seq data and steps towards the analysis of RNA-Seq data from genetically complex mice backgrounds

P Darakjian¹, D Bottomly, N Walter, K Buck, S McWeeney, R Hitzemann

Published 16 Aug 2011

Author Affiliations

¹ Department of Behavioral Neuroscience, Portland Alcohol Research Center, Oregon Health and Science University, USA

Copyright © 2011 Darakjian P et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 16 Aug 2011

Devising strategies for quantifying false positive and false negative rates of sequence calls using RNA-Seq data and steps towards the analysis of RNA-Seq data from genetically complex mice backgrounds
[version 1; not peer reviewed]

P Darakjian¹, D Bottomly, N Walter, K Buck, S McWeeney, R Hitzemann

Author Affiliations

¹ Department of Behavioral Neuroscience, Portland Alcohol Research Center, Oregon Health and Science University, USA

Presented at

ISMB/ECCB 2011

Abstract

Competing Interests

No relevant conflicts of interest declared.

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Devising strategies for quantifying false positive and false negative rates of sequence calls using RNA-Seq data and steps towards the analysis of RNA-Seq data from genetically complex mice backgrounds

Devising strategies for quantifying false positive and false negative rates of sequence calls using RNA-Seq data and steps towards the analysis of RNA-Seq data from genetically complex mice backgrounds [version 1; not peer reviewed]

Terms relating to user comments

Devising strategies for quantifying false positive and false negative rates of sequence calls using RNA-Seq data and steps towards the analysis of RNA-Seq data from genetically complex mice backgrounds
[version 1; not peer reviewed]