Integrated In Silico Analysis of NGS Prostate Cancer Data via High-Resolution RNA-Seq Analysis
Poster May 11, 2011
Sandeep Sanga , Antoaneta Vladimirova, Aubree Hoover
The goal: To get novel insights into the mechanisms of prostate adenocarcinoma by leveraging next generation sequencing (NGS) data, particularly human transcriptome data, through in silico data analysis and interpretation by Ingenuity’s IPA® software. CLC Genomics Workbench and CLC Genomics Server helped us assess short read RNA-Seq data. Ingenuity’s IPA® software application was utilized to elucidate the dysregulated biological processes, by leveraging manually-curated biological information, canonical pathways and analytical tools.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
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When there is a need to quickly analyze samples using a number of different PCR assays, it is likely that optimal conditions for each assay will not be the same. First, different assays often will require different annealing temperatures for their primers. In addition, amplicons may be designed to be of different lengths and therefore require varying durations of the extension step.
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